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The 100 Most Influential Studies in Chimeric Antigen Receptor T-Cell: A Bibliometric Analysis.
Seo, Beomjun; Kim, Seungwook; Kim, Jeeyoon.
Afiliação
  • Seo B; Department of Epidemiology and Medical Informatics, Graduate School of Public Health, Korea University, Seoul, South Korea.
  • Kim S; Graduate School of Interdisciplinary Management, Ulsan National Institute of Science and Technology (UNIST), Ulsan, South Korea.
  • Kim J; Department of Clinical Pharmacy, Graduate School, Cha University, Seoul, South Korea.
Front Med Technol ; 2: 3, 2020.
Article em En | MEDLINE | ID: mdl-35047874
ABSTRACT

Background:

Bibliometric analyses are used to provide information on trends within a specific research field, along with indicators of the impact of a publication. With such an analysis, we map the scientific landscape of chimeric antigen receptor T-cell (CAR-T) research to see the emerging topics and infer directions the field might take.

Methods:

We extracted the 100 most-cited articles, published all periods (from 2008 to 2019) by the Web of Science Core Collection. Using their bibliographic details, including year of publication, country of author, research organization, author information, and keywords, we graph the networks created between the articles.

Results:

Of the 100 papers identified, the majority (93%) were written in the USA. Notable was that 34 papers were published from the University of Pennsylvania. Regarding authors, Carl H. June participated in 29 researches, followed by Bruce L. Levine who participated in 12. As for journals, Blood (n = 19) published the most papers, followed by Science Translational Medicine (n = 9) and Cancer Research (n = 9). Lastly, the most frequently used keywords were "adoptive immunotherapy" (n = 47), "lymphocytes" (n = 27), and "antitumor activity" (n = 22).

Conclusion:

By evaluating the top 100 most-cited papers in the CAR-T field, this study provides insight into the direction of the scientific growth and its trends, as well as information on the field's network structure.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article