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Knowledge mapping of immunotherapy for thyroid cancer from 1980 to 2022: A review.

Medicine 2023 Vol.102(39) p. e35506

Ding R, Jiao H, Piao Y, Tian W

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With the gradual development of immunotherapy for thyroid cancer, relevant research has increased.

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APA Ding R, Jiao H, et al. (2023). Knowledge mapping of immunotherapy for thyroid cancer from 1980 to 2022: A review.. Medicine, 102(39), e35506. https://doi.org/10.1097/MD.0000000000035506
MLA Ding R, et al.. "Knowledge mapping of immunotherapy for thyroid cancer from 1980 to 2022: A review.." Medicine, vol. 102, no. 39, 2023, pp. e35506.
PMID 37773801

Abstract

With the gradual development of immunotherapy for thyroid cancer, relevant research has increased. To better understand the current situation, development trend, evolution process, and research hotspots of this field, we conducted this comprehensive bibliometrics visual analysis. We retrieved papers published from 1980 to 2022 from Web of Science Core Collection on January 31, 2023. CiteSpace, Pajek, VOSviewer, R-Bibliometrix, and Scimago Graphics are the tools to perform the analysis. Analysis methods mainly include co-occurrence analysis and cluster analysis. Analysis objects are countries or regions, institutions, authors, journals, and keywords, etc. In terms of publication number, the recent decade has witnessed rapid growth. USA was the most prolific country and has the most influence in the cooperation team. Sweden took the lead in focus on this research field and lasted for 21 years. Garden State Cancer Center was released most papers (28). INSERM played a major role in institutional cooperation. Goldenberg DM published the most papers (48), with H-Index 25 and G-Index 43. Journal of Nuclear Medicine has the greatest papers published (41). The average impactor factor of the top 10 journals is 7.2058. The top keywords with high burst strength are: radioimmunotherapy (14.85), monoclonal antibody (13.78), non hodgkins lymphoma (12.54). The research field of immunotherapy for thyroid cancer will be further developed. This study provides a valuable reference for future research in the field.

MeSH Terms

Humans; Immunotherapy; Thyroid Neoplasms; Antibodies, Monoclonal; Bibliometrics; Cluster Analysis

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