A Holistic Evaluation of Articles on PD-1 and PD-L1 Published Between 1975 and 2017: A Bibliometric Analysis. (June 2019)
- Record Type:
- Journal Article
- Title:
- A Holistic Evaluation of Articles on PD-1 and PD-L1 Published Between 1975 and 2017: A Bibliometric Analysis. (June 2019)
- Main Title:
- A Holistic Evaluation of Articles on PD-1 and PD-L1 Published Between 1975 and 2017: A Bibliometric Analysis
- Authors:
- Baş, Yılmaz
Şenel, Engin - Abstract:
- Background: Bibliometrics has been used for assessing and predicting trends in macro-health science and medical systems, especially in the field of cancer. Bibliometric and scientometric studies in the field of programmed cell death 1/programmed cell death 1 ligand 1 (PD-1/PD-L1) may guide further research in this field. Objective: To perform bibliometric analysis of articles on PD-1 and PD-L1 published in the academic literature during 1975 to 2017. Method: The bibliometric analysis was performed using the Thomson Reuters Web of Science database. Results: A total of 23 813 articles were retrieved, 73.52% of which were original articles. The United States was the leading country by total publication number (n = 10 897, 10.91%), followed by China (10.54%), and produced the most literature on PD-1/PD-L1 (164.65 articles). Among the institutions identified, Harvard University (USA) contributed the most articles on PD-1/PD-L1. Conclusions: All authors and institutions in the top 10 contributor's lists were from the developed countries. Researchers from the developing and least-developed countries should be encouraged to perform novel studies on PD-1 and PD-L1.
- Is Part Of:
- Cancer informatics. Volume 18(2019)
- Journal:
- Cancer informatics
- Issue:
- Volume 18(2019)
- Issue Display:
- Volume 18, Issue 2019 (2019)
- Year:
- 2019
- Volume:
- 18
- Issue:
- 2019
- Issue Sort Value:
- 2019-0018-2019-0000
- Page Start:
- Page End:
- Publication Date:
- 2019-06
- Subjects:
- PD-1 -- PD-L1 -- neoplasms -- immunotherapy -- bibliometrics
Bioinformatics -- Periodicals
Biology -- Data processing -- Periodicals
Cancer -- Periodicals
Cancer -- Research -- Periodicals
Computational biology -- Periodicals
570.285 - Journal URLs:
- http://insights.sagepub.com/journal.php?journal_id=10&tab=volume ↗
http://www.uk.sagepub.com/home.nav ↗ - DOI:
- 10.1177/1176935119852620 ↗
- Languages:
- English
- ISSNs:
- 1176-9351
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 12119.xml