Bibliometric analysis of pathological mechanisms in Alzheimer's disease: Applications based on mouse models

阿尔茨海默病病理机制的文献计量分析:基于小鼠模型的应用

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Abstract

BACKGROUND: Alzheimer's disease (AD) is a progressive neurodegenerative disorder marked by memory loss and cognitive decline. Animal models play a key role in exploring its pathophysiological mechanisms. OBJECTIVE: To analyze global research trends and knowledge structure in AD pathophysiological mechanisms based on animal models. METHODS: Publications from 2014 to 2023 were retrieved from the Web of Science Core Collection. CiteSpace and VOSviewer were used for bibliometric analysis and data visualization. RESULTS: A total of 2169 publications were identified, with a steady growth trend. The United States and China were the leading contributors, with Harvard University as a major collaborative hub. The Journal of Alzheimer's Disease published the most articles, while the Journal of Neuroscience had the highest co-citation frequency. Holtzman DM was a key author in the field. Nine keyword clusters were identified, including insulin resistance, amyloid beta, and oxidative stress. Emerging topics include synapse loss, gut microbiota, and NLRP3 inflammasome. CONCLUSIONS: This study provides a concise overview of global research on AD pathophysiological mechanisms in animal models, offering valuable insights for future research directions.

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