The Research of Proteomics in Neurodegenerative Diseases Based on Bibliometric Analysis.
Xiaoqiong An, Jun He, Wenfeng Yu, Zhenkui Ren
Abstract
Open AccessPURPOSE: This study aims to provide a comprehensive bibliometric analysis of the literature on proteomics in neurodegenerative diseases in order to identify research trends, key contributors, and collaborative networks and to assess the field's development and potential future directions. METHOD: A bibliometric analysis was conducted using data from 3461 publications (articles and reviews) published between 2000 and 2024, retrieved from the Web of Science Core Collection (WoSCC) database. The data were analyzed using CiteSpace, VOSviewer, and the R package "bibliometrix" to analyze and visualize publication trends, international and institutional collaborations, influential authors, and research focus areas. FINDING: This study uses bibliometric tools to visualize literature trends and collaborations. Analyzing 3461 publications from 2000 to 2024 shows a rise in publications, especially in the last 5 years, highlighting proteomics' importance in understanding diseases and finding therapies. The United States leads with 40% of publications, followed by China and Germany, with key institutions and authors identified. CONCLUSION: Despite bibliometric analysis limitations, our findings emphasize proteomics' role in neurodegenerative research, suggesting future studies should use diverse data sources for a comprehensive understanding.