Biotechnology is a dynamic field that continuously shapes our world, enabling innovation, breakthroughs, and solutions to various challenges. As we move into the future, numerous emerging research areas promise to revolutionize healthcare, agriculture, environmental sustainability, and more. The top 50 emerging research topics in biotechnology are presented in this article.

Top 50 Emerging Research Topics in Biotechnology

1. Gene Editing and Genomic Engineering

a. CRISPR and Gene Editing

Precision Medicine: Developing targeted therapies for various diseases using CRISPR/Cas9 and other gene-editing tools.

Ethical Implications: Exploring and addressing ethical concerns surrounding CRISPR use in human embryos and germline editing.

Agricultural Advancements: Enhancing crop resistance and nutritional content through gene editing of improved farm outcomes.

Gene Drive Technology: Investigating the potential of gene drive technology to control vector-borne diseases like malaria and dengue fever.

Regulatory Frameworks: Establishing global regulations for responsible gene editing applications in different fields.

b. Synthetic Biology

Bioengineering Microbes: Creating engineered microorganisms for sustainable production of fuels, pharmaceuticals, and materials.

Designer Organisms: Designing novel organisms with specific functionalities for environmental remediation or industrial processes.

Cell-Free Systems: Developing cell-free systems for various applications, including drug production and biosensors.

Biosecurity Measures: Addressing concerns regarding the potential misuse of synthetic biology for bioterrorism.

Standardization and Automation: Standardizing synthetic biology methodologies and automating processes to streamline production.

2. Personalized Medicine and Pharmacogenomics

a. Precision Medicine

Individualized Treatment: Tailoring medical treatment based on a person’s genetic makeup and environmental factors.

Cancer Therapy: Advancing targeted cancer therapies based on the genetic profile of tumors and patients.

Data Analytics: Implementing big data and AI for comprehensive analysis of genomic and clinical data to improve treatment outcomes.

Clinical Implementation: Integrating genetic testing into routine clinical practice for personalized healthcare.

Public Health and Policy: Addressing the challenges of integrating personalized medicine into public health policies and practices.

b. Pharmacogenomics

Drug Development: Optimizing drug development based on individual genetic variations to improve efficacy and reduce side effects.

Adverse Drug Reactions: Understanding genetic predispositions to adverse drug reactions and minimizing risks.

Dosing Optimization: Tailoring drug dosage based on an individual’s genetic profile for better treatment outcomes.

Economic Implications: Assessing the economic impact of pharmacogenomics on healthcare systems.

Education and Training: Educating healthcare professionals on integrating pharmacogenomic data into clinical practice.

3. Nanobiotechnology and Nanomedicine

a. Nanoparticles in Medicine

Drug Delivery Systems: Developing targeted drug delivery systems using nanoparticles for enhanced efficacy and reduced side effects.

Theranostics: Integrating diagnostics and therapeutics through nanomaterials for personalized medicine.

Imaging Techniques: Advancing imaging technologies using nanoparticles for better resolution and early disease detection.

Biocompatibility and Safety: Ensuring the safety and biocompatibility of nanoparticles used in medicine.

Regulatory Frameworks: Establishing regulations for the use of nanomaterials in medical applications.

b. Nanosensors and Diagnostics

Point-of-Care Diagnostics: Developing portable and rapid diagnostic tools for various diseases using nanotechnology.

Biosensors: Creating highly sensitive biosensors for detecting biomarkers and pathogens in healthcare and environmental monitoring.

Wearable Health Monitors: Integrating nanosensors into wearable devices for continuous health monitoring.

Challenges and Limitations: Addressing challenges in scalability, reproducibility, and cost-effectiveness of nanosensor technologies.

Future Applications: Exploring potential applications of nanosensors beyond healthcare, such as environmental monitoring and food safety.

4. Immunotherapy and Vaccine Development

a. Cancer Immunotherapy

Immune Checkpoint Inhibitors: Enhancing the efficacy of immune checkpoint inhibitors and understanding resistance mechanisms.

CAR-T Cell Therapy: Improving CAR-T cell therapy for a wider range of cancers and reducing associated side effects.

Combination Therapies: Investigating combination therapies for better outcomes in cancer treatment.

Biomarkers and Predictive Models: Identifying predictive biomarkers for immunotherapy response.

Long-Term Effects: Studying the long-term effects and immune-related adverse events of immunotherapies.

b. Vaccine Technology

mRNA Vaccines: Advancing mRNA vaccine technology for various infectious diseases and cancers.

Universal Vaccines: Developing universal vaccines targeting multiple strains of viruses and bacteria.

Vaccine Delivery Systems: Innovating vaccine delivery methods for improved stability and efficacy.

Vaccine Hesitancy: Addressing vaccine hesitancy through education, communication, and community engagement.

Pandemic Preparedness: Developing strategies for rapid vaccine development and deployment during global health crises.

5. Environmental Biotechnology and Sustainability

a. Bioremediation and Bioenergy

Biodegradation Techniques: Using biotechnology to enhance the degradation of pollutants and contaminants in the environment.

Biofuels: Developing sustainable biofuel production methods from renewable resources.

Microbial Fuel Cells: Harnessing microbial fuel cells for energy generation from organic waste.

Circular Economy: Integrating biotechnological solutions for a circular economy and waste management.

Ecosystem Restoration: Using biotechnology for the restoration of ecosystems affected by pollution and climate change.

b. Agricultural Biotechnology

Genetically Modified Crops: Advancing genetically modified crops for improved yields, pest resistance, and nutritional content.

Precision Agriculture: Implementing biotechnological tools for precise and sustainable farming practices.

Climate-Resilient Crops: Developing crops resilient to climate change-induced stresses.

Micro-biome Applications: Leveraging the plant micro-biome for enhanced crop health and productivity.

Consumer Acceptance and Regulation: Addressing consumer concerns and regulatory challenges related to genetically modified crops.

The field of biotechnology is a beacon of hope for addressing the challenges of our time, offering promising solutions for healthcare, sustainability, and more. As researchers explore these emerging topics, the potential for ground-breaking discoveries and transformative applications is immense.

I hope this article will help you to find the top research topics in biotechnology that promise to revolutionize healthcare, agriculture, environmental sustainability, and more.

The post Top 50 Emerging Research Topics in Biotechnology appeared first on iLovePhD.

DBT invites applications from Indian citizens to pursue research in the frontier areas of Biotechnology and Life Sciences for the prestigious ‘DBT-RESEARCH ASSOCIATESHIP (DBT-RA)’. Are you ready to embark on a journey of groundbreaking scientific exploration?

DBT-RESEARCH ASSOCIATESHIP (DBT-RA)

IN BIOTECHNOLOGY & LIFE SCIENCES FOR 2023-24

• The Associateship is tenable in Premier Research Institutions/Universities including non-profit R&D Institutions within India.
• The Department of Biotechnology, Ministry of Science & Technology, Government of India supports the awarding of the “DBT-Research Associateships” under their program.
• Last date for submission of the online application – 26^th October 2023.

ELIGIBILITY CRITERIA

Academic Qualification:

• The applicants should hold a Ph.D. degree in Science, Engineering or M.D./M.S. degree in any area of medicine with research interests in Biotechnology and Life Sciences and a good academic record.
• The applicants who have already submitted the Ph.D./ M.D./ M.S. thesis is also eligible to apply.
• However, such applicants, if selected, will be offered a lower fellowship amount till they qualify for the eligible degree.

Age Limit:

• The upper age limit is 40 years for male candidates and 45 years in the case of female candidates as of the last date of application.

Employment:

• The applicants who are employed at the time of application are eligible to apply.
• However, they have to relinquish their employment to accept the fellowship.

TENURE OF FELLOWSHIP

• The Associateship is a purely temporary full-time assignment and is tenable for a period of 02 years with annual renewal.
• In exceptional cases, the fellowship may be extended up to 04 years depending upon the progress of research.

GENERAL GUIDELINES

• Candidates can avail the DBT-RA fellowship only ONCE in their career.
• Recognized academic institutions, national laboratories, and other recognized R&D institutions in India are the only tenable places for this fellowship. The host institution must offer administrative and infrastructural support.
• PhD guides/co-guides are not permitted to work with the fellows.
• Candidates cannot avail the fellowships at the same institution where they earned their Ph.D./M.D./M.S. degree.
• A mentor cannot have more than 2 DBT-RA fellows at a time.
• A mentor must hold a regular academic/research position in a recognized institution in India and should hold a PhD/MD/MS degree in science, engineering or medicine.
• Superannuated faculty (e.g., Honorary Professors, Emeritus Professors/Scientists, and DBT Distinguished Professors) could also mentor as long as they can demonstrate that resources and labs are available to them.
• Applicants from the Northeast Region (permanent residence located in the NER) can work in any university/institution in the country.
• The program awards the Associate-ships, and they can use the research grants for minor equipment, consumables, contingencies, and domestic travel.

HOW TO APPLY

• Application for the DBT-RA program shall be by ONLINE mode only.
• To apply, interested applicants may kindly visit DBT-RA Online Portal https://ra.dbtindia.gov.in/
• Applicants must register on the DBT-RA Online portal, fill in complete information in the online application form and submit it before the closing date of application.
• The organization awards the Associate-ships, and the applicant needs to fill out the online application form, which includes information about Personal Information, Academic Qualifications, Research Contribution, Referee Details, Proposed Research Work, Proposed Mentor Details, and Proposed Host Institution.
• Documents to be submitted along with Online Application Form include:

1. Self-attested pdf copy of DOB certificate

2. Self-attested pdf copies of degree certificates

3. A Consent letter from the mentor. (The format for the Consent letter is available at the DBT-RA portal.)

• Names and contact details of the Referees are to be provided by the applicant while filling out the application form.
• When you submit the online application form, you should send an email with a link to submit a letter of recommendation to the email addresses of all the referees mentioned in the application form.
• Referees must upload a PDF copy of the letter of recommendation on the portal by 26th October, 2023. The applicant shall ensure that the referee provides the recommendation letter on time.
• A letter of recommendation uploaded on the portal after the closing date of the application shall not be accepted.
• Application forms not submitted through the DBT-RA Online Portal shall not be accepted.

CONTACT INFORMATION

For any queries, please contact DBT-HRD Project & Management Unit, Regional Centre for Biotechnology, Faridabad, Haryana at ra.dbt@rcb.res.in.

The post AWARD OF DBT-RESEARCH ASSOCIATESHIP (DBT-RA) appeared first on iLovePhD.

If you’re a passionate and driven scientist, the Division of Developmental Biology within Utrecht University’s Biology Department invites you to join their team. An exciting role as an Assistant Professor in Developmental Biology is available, offering you the chance to carve your own research path and contribute to teaching at both Bachelor’s and Master’s levels.

Assistant Professor in Developmental Biology at Utrecht University

Research Alignment

Your expertise will align with the current focus on Developmental Biology in the Biology department. We’re particularly interested in candidates well-versed in developmental processes linked to stem cell development, tissue growth, morphogenesis, differentiation, and genomics. If you work with model organisms, disease models (including cancer), stem cells, organoids, or 3D culture, your application is encouraged.

Key Responsibilities

You’ll take on essential roles like securing external funding for new research endeavors, guiding students’ research (Bachelor’s, Master’s, PhD), and participating in teaching. This encompasses general and specialized biology courses, with the potential to introduce innovative new courses. Additionally, you’ll engage in outreach activities and committee work.

Community Integration

As a new member, you’ll be integral to Utrecht University’s lively Life Sciences community. Collaborative efforts are highly valued, fostering connections with other groups in the Institute of Biodynamics and Biocomplexity, the Biology Department, the Faculty of Science, and external institutions like Utrecht Medical Center and the Hubrecht Institute.

Qualifications

To thrive in this role, you should have:

• A PhD in Developmental Biology or a related field.
• A track record of impactful scientific publication.
• Proficiency in obtaining external funding.
• A passion for teaching, with a focus on innovative education.
• Expertise in advanced microscopy techniques (recommended).
• Strong English skills and a willingness to learn Dutch if applicable.
• A positive, motivated, and collaborative mindset, coupled with critical and creative thinking.
• Potential for developing leadership capabilities.

Benefits

In return, you’ll receive:

• An initial fixed-term Assistant Professor contract, with potential for permanent conversion after a favorable 18-month evaluation.
• Support and guidance for personal and professional growth.
• A competitive full-time gross salary, ranging from €4,332 to €5,929 per month (scale 11, Assistant Professor level) as per the Collective Labour Agreement Dutch Universities (CAO).
• Additional benefits include holiday and end-of-year bonuses.

Utrecht University’s Secondary Conditions: Utrecht University offers excellent secondary conditions, including retirement plans, professional development opportunities, parental leave, sports facilities, and flexible employment terms.

Application Details: For more details and to apply, visit the Utrecht University website. The application deadline is September 15, 2023. For inquiries, feel free to contact Professor Sander van den Heuvel (Head of the Department) or Professor Mike Boxem (Professor in the Division of Developmental Biology) using the provided email addresses.

Join Now

Expect a warm welcome to our team and the intellectually stimulating environment at Utrecht University. If you know others who might be interested, please share this opportunity. Kindly note, recruitment agencies need not make contact regarding this posting.

APPLY NOW 

The post Assistant Professor in Developmental Biology appeared first on iLovePhD.

Artificial Intelligence (AI) is a game-changing technology that is revolutionizing various industries, including science. In this blog article, we will explore how AI is transforming the field of science with applications across different disciplines, from drug discovery to climate science and beyond. By automating tasks, analyzing data, and generating valuable insights, AI holds the potential to accelerate scientific progress and unlock new possibilities.

Explore how Artificial Intelligence (AI) is revolutionizing science with applications in drug discovery, materials science, climate modeling, astronomy, and bioinformatics. Discover the transformative impact of AI in accelerating research, generating insights, and shaping the future of scientific discoveries.

AI in Science: Revolutionizing Research and Discoveries

AI in Drug Discovery

One of the most promising applications of AI in science is drug discovery. AI is being used to identify new drug targets, design novel drugs, and even predict the efficacy of drugs during clinical trials.

Companies like Atomwise employ AI algorithms to pinpoint proteins that may be involved in diseases, leading to the discovery of potential drug targets. Some of these targets have progressed to clinical trials, offering hope for groundbreaking treatments.

AI in Materials Science

In materials science, AI is proving to be a powerful tool for designing new materials with specific properties. Advanced AI systems developed by companies like DeepMind can create materials with desired attributes, such as high strength and lightness. These materials have promising applications in industries like aerospace and automotive, opening up new avenues for innovation and efficiency.

AI in Climate Science

The impact of climate change is a pressing global challenge. AI is playing a vital role in climate science by modeling the Earth’s climate and predicting future changes. Organizations like the National Oceanic and Atmospheric Administration (NOAA) leverage AI to develop sophisticated climate models.

These models help predict the consequences of climate change, such as rising sea levels and extreme weather events, enabling us to devise strategies for mitigation and adaptation.

AI in Astronomy

Astronomy has also embraced AI to handle vast amounts of astronomical data and accelerate discoveries.

The European Southern Observatory (ESO) uses AI algorithms to analyze data collected by telescopes like the Very Large Telescope (VLT).

This AI-driven analysis has led to the identification of new planets and galaxies, enriching our understanding of the universe’s evolution.

AI in Bioinformatics

In the realm of bioinformatics, AI plays a crucial role in analyzing vast biological datasets, such as DNA sequences. Illumina, a prominent company, utilizes AI to scrutinize DNA sequences and identify new genes and proteins.

This valuable information helps researchers gain insights into the genetic basis of diseases, paving the way for more effective treatments and personalized medicine.

The Future Impact of AI on Science

While AI is still in its early stages, its impact on science is already remarkable. As technology continues to advance, we can expect even greater applications and transformative changes in the scientific landscape.

By streamlining processes, identifying patterns in data, and assisting researchers with complex tasks, AI will enable scientists to achieve breakthroughs and push the boundaries of knowledge.

Artificial Intelligence has emerged as a powerful force in the realm of science, offering innovative solutions and unparalleled possibilities. From drug discovery to climate modeling and beyond, AI is reshaping the way scientific research is conducted.

As AI continues to evolve, its applications in science are likely to expand further, propelling us toward a brighter and more advanced future. Embracing AI’s potential in scientific endeavors can lead to faster progress, improved efficiency, and a deeper understanding of the world around us.

Also Read: Top 7 Artificial Intelligence (AI) Tools in Scientific Research

The post The Power of Artificial Intelligence (AI) in Science appeared first on iLovePhD.

Free Open Access Journals (OAJ) published by reputed publishers undergo a peer-review process and upon acceptance, they would be published online for the readers to download at free of cost. In this article, the list of Open Access Journals from various research fields is presented.

List of 419 Free Open Access Journals

Hope this article helps you to find the List of Free Open Access Journals

Open Access Computer Science WoS Journals List

The post List of Free Open Access Journals | All Fields appeared first on iLovePhD.

The Biotechnology Ignition Grant (BIG) is the flagship scheme of BIRAC which recognizes and invests in innovative ideas in the biotech sector. The ideas should have clear potential to translate into commercial products/technologies. BIG supports individual entrepreneurs/ start-ups from ideation to Proof of Concept (PoC).

Please refer to the BIG Guidelines document https://birac.nic.in/big.php for details about the BIG scheme.

Biotechnology Ignition Grant – Key Features

Special Call for BIG-NER would support innovative ideas ‘from’ and ‘for implementation/deployment in’ North East Region of India (Arunachal Pradesh, Assam, Manipur, Meghalaya, Mizoram, Nagaland, Sikkim, and Tripura). The proposals should highlight the application of the potential outcome in North Eastern Regions.

Grant-in-aid support of up to INR 50 lakhs would be provided to startups and entrepreneurs for a period of 24 months.

BioNEST-KIIT TBI, Bhubaneswar is the BIRAC’s BIG Partner for the implementation of the special call for NER.

Who can Apply?

In addition to the standard eligibility clause as mentioned in the BIG scheme document, the applicant for this call must be from NER and/or must substantiate the local presence through the intent of technology development/implementation in NER.

How to Apply?

The BIG scheme allows only online submission of proposals. For proposal submission, please register on the BIRAC website under “Special call of BIG”. User registration is open round the clock and closes by 5:30 PM on 31st October 2022.

For further details on the scheme, and eligibility criteria, please refer to the scheme guidelines and FAQs at https://birac.nic.in/

Note: Prior recipients of BIG are ineligible

Important Dates

Announcement Date: 15-08-2022
Last Submission Date: 31-10-2022 05:30 PM

The post BIRAC: Special Call of Biotechnology Ignition Grant (BIG) appeared first on iLovePhD.

Scopus Indexed Journals in Biochemistry, Genetics and Molecular Biology:  Biochemistry is the study of chemical processes within and relating to living organisms. Also, Genetics is a branch of biology concerned with the study of genes, genetic variation, and heredity in organisms.

Journals in these fields are highly reputed and high impact factor journals. In this article, ilovephd provides the top 345 Scopus Indexed Journals in Biochemistry, Genetics and Molecular Biology.

Various fields in Biochemistry, Genetics and Molecular Biology

• Aging
• Biochemistry
• Biochemistry, Genetics and Molecular Biology (miscellaneous)
• Biophysics
• Biotechnology
• Cancer Research
• Cell Biology
• Clinical Biochemistry
• Developmental Biology
• Endocrinology
• General Biochemistry, Genetics and Molecular Biology
• Genetics
• Molecular Biology
• Molecular Medicine
• Physiology
• Structural Biology

Scopus Indexed Journals

Scopus indexed Biochemistry, Genetics and Molecular Biology journals contain more than 2,985 items like scientific articles, conference proceedings, book chapters, lecture notes, and books. Among this, the top 345 high impact factor journals are listed in this article.

Read: How to Identify SCIE and Scopus Indexed journals? – 2020

Top Scopus Indexed Journals in Biochemistry, Genetics and Molecular Biology

Source: Scopus.com

High Impact Factor Artificial Intelligence(AI) Journals

Top Scopus Indexed Journals List in Agriculture

List of Top 50 SCI Indexed Biotechnology Journals

The post Biochemistry, Genetics and Molecular Biology Scopus Indexed Journals appeared first on iLovePhD.

A graphical abstract is a simple, concise, and self-explanatory figure that elucidates the scientific data or the main research findings in a pictorial form. This article explains how to create graphical abstract with simple steps.

It represents the important findings of a research or review paper in a nutshell, which helps the readers to understand the main take-home message at a single glance.

It allows the reader to grasp their attention, to identify more suitable research articles relevant to their research, and to conduct interdisciplinary research.

“A typical graphical abstract should attract the reader’s attention whether to read your full paper or not. If this is achieved, the purpose of your graphical abstract is fulfilled”.

Steps to create graphical abstract

The main purpose of a graphical abstract is to influence the reader’s curiosity, to present the research outcome briefly, and to summarize the findings. The basic steps to create an effective pictorial abstract include:

The first two steps are based on paperwork and the third step requires graphic design software. A logical concept is very important to carry out any research. So, one should decide what is the important message to be delivered through graphical abstract and to whom it is to be conveyed. Therefore, the picture abstract is defined by the concept and the readers.

The second step is to sketch the appropriate visual elements (chemical structure, biological components, mechanical parts etc.) which portray the research outcome directly and precisely.

Arrange the elements of the sketch in a right sequence either from left to right or top to down to get a meaningful abstract. Ensure that all the elements are connected to each other, arranged into groups that have something in common.

The final step is to design the sketch using graphic design software (Photoshop) or simple PowerPoint. Ensure that all the elements are illustrated with uniform art-style, otherwise, it may look bizarre.

Too many results or conclusion will complicate the visual representation of the abstract. One should think from the reader’s point of view and summarize the most important and specific results in a simple way.

Criteria for an ideal graphical abstract:

• A graphical abstract should be unique, clear, simple, and self-explanatory.
• It should highlight the novel findings of the research without reproducing the results reported in the published literature.
• It should be different from the diagrams/figures illustrated in the article itself.
• It should not include data items, the results should be in a pictorial form. 
• It should not include true facts, proven science, and existing results.

Different styles of formatting:

Diagram style graphical abstract:

This type of graphical abstract is widely used in the field of chemistry to represent the chemical reactions, structure, bonding etc. This is considered as an easiest and simple method to explain the technical findings. This style use highly technical language and abbreviations with no background context.

Visual style:

Graphical abstract developed by visual style is more professional than diagram style, can be made quickly and easily using PowerPoint.  This type of style is frequently used in medical-related journals.

Infographic style:

This is the advanced style that tends to use both text and graphics in a more visually attractive way. The infographic-based image abstracts are developed using design software, which looks more professional and gains the reader’s attention easily.

Comic style:

Comic style of the abstract uses cartoon characters to express the research findings in a humorous way. Therefore, this style helps to cover the maximum number of readers.

According to Elsevier, the technical specifications required to prepare a image abstract is listed below:

• Image size: Image should be 531 X 1328 pixels with a resolution of 300 dpi.
• File type: TIFF, EPS, PDF
• Font: Times, Arial, Courier or Symbol with large font size.
• Any text or label should be part of the image file. The abstract should be one image file.

Hope this article helps you to know about the graphical abstract and it’s types.

You may also love to read

#iLovePhD

How to Become an Academic Journal Reviewer?|Step by Step Guide

How to Download Free Mendeley Datasets?

How to get Published in High Impact Journals?

The post How to Create Graphical Abstract appeared first on iLovePhD.

Scite.ai is a new platform introducing “Smart Citations“. This free tool for citations allows users to see how a research paper has been cited by providing the context of the citation.

What is Scite?

Scite is an award-winning platform for discovering and evaluating scientific articles via Smart Citations.

Smart Citations allow users to see how a scientific paper has been cited by providing the context of the citation.

A classification describing whether it provides supporting or contrasting evidence for the cited claim.

Website: www.scite.ai

Scite_ is a Brooklyn-based startup that helps researchers better discover and evaluate scientific articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by researchers from dozens of countries and is funded in part by the National Science Foundation and the National Institute of Drug Abuse of the National Institutes of Health.

How are citations classified?

Citations are classified by a deep learning model that is trained to identify three categories of citation statements: those that provide contrasting or supporting evidence for the cited work, and others, which mention the cited study without providing evidence for its validity.

Scite Smart Citations Features

Create Custom Dashboard

Create a custom dashboard that aggregates information from scite on a group of DOIs. You may include for example a set of papers on a subject area, related to a drug, or anything else you wish.

Journals and Institution Metrics

Explore journal and institutional dashboards to find their publications, compare rankings, and see changes in their yearly scite Index.

What is the scite Index?

The scite Index (SI) measures how supported publications from a journal are, and is calculated using the following formula:

For example, the 2019 2-year SI includes citations to articles published in 2018 and 2019. Journals must have at least 100 supporting and/or contrasting cites in the measuring period to receive an SI.

Visualize Research

Surf the citation web to discover and evaluate how articles cite each other through interactive scite visualizations.

scite aims to provide complete coverage of the scientific record. However, its coverage is currently most complete in biomedical research and the social sciences, with over 800 million citation snippets in the database. Hope, this article helps you to know about Scite smart citations.

Do visit Scite.ai for more inforamtions.

Sponsored:

The post Free Smart Citations Tool for Better Research appeared first on iLovePhD.