Literature DB >> 31030093

Bibliometric analysis of global research on PD-1 and PD-L1 in the field of cancer.

Ya Gao1, Shuzhen Shi1, Wenjuan Ma1, Ji Chen2, Yitong Cai2, Long Ge3, Lun Li4, Jiarui Wu5, Jinhui Tian6.   

Abstract

OBJECTIVES: To identify the cooperation of authors, countries, and institutions and explore the hot topics and future prospects regarding programmed cell death protein 1 (PD-1) and programmed cell death 1 ligand 1 (PD-L1) research.
MATERIALS AND METHODS: Publications on PD-1 and PD-L1 research were retrieved from the Web of Science Core Collection. Bibliometric analyses were performed using VOSviewer 1.6.9, HistCite 2.1, and CiteSpace V software. Network maps were generated to evaluate the collaborations between different authors, countries, and institutions.
RESULTS: A total of 7359 articles related to PD-1 and PD-L1 research in the field of cancer were identified. We observed rapid growth in the number of publications since 2014. Oncoimmunology (326, 4.43%) had the highest number of publications, while N Engl J Med (18,828 co-citations, 6.30%) was the most co-cited journal. Hodi FS and Wolchok JD were key researchers. There were active collaborations among the top authors. The USA was the leading contributor in this field with 3496 publications. Active cooperations between countries and between institutions were observed. The main hot topics included matters related to the efficacy and prognosis of various tumors after treatment with PD-1 and/or PD-L1 inhibitors, as well as the activation or expression of important immunological factors targeted at tumors.
CONCLUSION: PD-1 and PD-L1 studies have significantly increased after 2014. The USA contributed the most publications. There were active cooperations between authors, countries, and institutions. Further research should expand and develop new topics such as those likely to boost therapeutic strategies for cancer.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Bibliometric analysis; Cancer; Development trends; Hot topics; PD-1; PD-L1

Mesh:

Substances:

Year:  2019        PMID: 31030093     DOI: 10.1016/j.intimp.2019.03.045

Source DB:  PubMed          Journal:  Int Immunopharmacol        ISSN: 1567-5769            Impact factor:   4.932


  29 in total

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