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ORIGINAL RESEARCH article

Front. Mol. Biosci.
Sec. Biological Modeling and Simulation
Volume 11 - 2024 | doi: 10.3389/fmolb.2024.1383268

Bibliometric analysis on CRISPR/Cas: A potential Sherlock Holmes for disease detection

Provisionally accepted
Rohan Sachan Rohan Sachan 1*Inderpal Devgon Inderpal Devgon 1Adarsh Choudhary Adarsh Choudhary 1Arun Karnwal Arun Karnwal 1*Prof. Dr. Abdel Rahman M. Al -Tawaha Prof. Dr. Abdel Rahman M. Al -Tawaha 2Tabarak Malik Tabarak Malik 3*
  • 1 Lovely Professional University, Phagwara, Punjab, India
  • 2 Al-Hussein Bin Talal University, Ma'an, Ma'an, Jordan
  • 3 Jimma University, Jimma, Oromia, Ethiopia

The final, formatted version of the article will be published soon.

    CRISPR has revolutionized illness detection by using precision gene editing to identify specific sequences in recent years. Using the Scopus database, this study performs a comprehensive bibliometric analysis, looking at academic papers on CRISPR that were published between 1992 and 2023. After screening a dataset of 1407 articles using Zotero, trends in annual publishing, citation patterns, author affiliations, and keyword co-occurrence are revealed using analysis tools such as VOSviewer, RStudio, and MS Excel. According to the report, there was only one CRISPR publication in 1992. By 2017, there were a meager 64 papers. Nonetheless, there is a notable upsurge between 2018 and 2023. Leading nations involved in CRISPR-based illness detection research include Germany, the United States, China, India, and the United Kingdom. Chongqing University Three Gorges Hospital, Chongqing University Medical University, and Chongqing University Bioengineering College are a few of the top institutions. With the greatest publication numbers (1688 and 1616) and strong total link strengths (TLS) of 42 and 77, respectively, authors Liu, C., and Li, Y, stand out. The field with the greatest citation counts as of 2023 is Broughton's 2020 study on CRISPR-based SARS-CoV-2 detection in Nature Biotechnology, with 1598 citations. Biosensors and Bioelectronics comprise 14.99% of papers. Researchers, decision-makers, and interested parties can use this thorough summary to help them make well-informed decisions about future CRISPR-based disease detection studies.

    Keywords: clinical studies, Bibliometrics, database, CRISPR, Disease, detection

    Received: 07 Feb 2024; Accepted: 25 Jun 2024.

    Copyright: © 2024 Sachan, Devgon, Choudhary, Karnwal, Al -Tawaha and Malik. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Rohan Sachan, Lovely Professional University, Phagwara, 144411, Punjab, India
    Arun Karnwal, Lovely Professional University, Phagwara, 144411, Punjab, India
    Tabarak Malik, Jimma University, Jimma, Oromia, Ethiopia

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.