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Int J Health Policy Manag. 2021;10(3): 118-128. doi: 10.34172/ijhpm.2020.29
PMID: 32610747        PMCID: PMC7947903

Original Article

Gastric Cancer: Bibliometric Analysis of Epidemiological, Geographical and Socio-Economic Parameters of the Global Research Landscape

Doris Klingelhöfer 1 * , Markus Braun 1 ORCID, Norman Schöffel 1, Dörthe Brüggmann 1 ORCID, David A. Groneberg 1 ORCID

Cited by CrossRef:

1- Xie K, Cui Y, Zhang D, He W, He Y, Gao D, Zhang Z, Dong X, Yang G, Dai Y, Li Z. Pretreatment Contrast-Enhanced Computed Tomography Radiomics for Prediction of Pathological Regression Following Neoadjuvant Chemotherapy in Locally Advanced Gastric Cancer: A Preliminary Multicenter Study. Front Oncol. 2022;11 [Crossref]
2- Tang R, Zhang S, Ding C, Zhu M, Gao Y. Artificial Intelligence in Intensive Care Medicine: Bibliometric Analysis. J Med Internet Res. 2022;24(11):e42185 [Crossref]
3- Tian W, Zhang T, Wang X, Zhang J, Ju J, Xu H. Global research trends in atherosclerosis: A bibliometric and visualized study. Front Cardiovasc Med. 2022;9 [Crossref]
4- Liu Y, Qin W, Zhang F, Wang J, Li X, Li S, Qin X, Lu Y. Association between WNT-1-inducible signaling pathway protein-1 (WISP1) genetic polymorphisms and the risk of gastric cancer in Guangxi Chinese. Cancer Cell Int. 2021;21(1) [Crossref]