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

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.