{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,20]],"date-time":"2026-08-20T16:07:06Z","timestamp":1787242026052,"version":"build-2736575974"},"reference-count":63,"publisher":"SAGE Publications","issue":"1","license":[{"start":{"date-parts":[[2025,5,6]],"date-time":"2025-05-06T00:00:00Z","timestamp":1746489600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Alzheimer\u2019s Disease"],"published-print":{"date-parts":[[2025,7]]},"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Alzheimer's disease (AD) is characterized by amyloid-\u03b2 plaques and tau aggregates, with autophagy dysfunction playing a key pathogenic role. While autophagy modulation shows therapeutic promise, comprehensive bibliometric analyses are lacking.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>This study aims to map the research landscape of autophagy in AD through bibliometric analysis, identifying key trends, contributors, and emerging focus areas.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>We analyzed 4018 publications (2003\u20132023) from Web of Science using VOSviewer and CiteSpace. Publication trends, influential authors, countries, institutions, and research hotspots were examined through co-occurrence, burst detection, and clustering analyses.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Annual publications have steadily increased, peaking in 2022. The US led in output and citations, with major contributions from the University of California and New York University. Ralph A. Nixon emerged as the most influential author. Early research (2003\u20132013) primarily focused on protein degradation mechanisms, whereas recent studies (2014\u20132023) emphasize mitochondrial dysfunction, apoptosis, and related pathways. Key evolving topics include endoplasmic reticulum stress and chaperone-mediated autophagy, with significant implications for therapeutic innovation.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Autophagy plays a critical role in AD pathogenesis and represents a promising therapeutic target. Despite mechanistic advances, clinical translation remains challenging. Future research should prioritize multi-omics integration, drug delivery optimization, and managing risks associated with excessive autophagy activation. These findings provide valuable insights for developing novel AD therapies targeting autophagy.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/13872877251336442","type":"journal-article","created":{"date-parts":[[2025,5,7]],"date-time":"2025-05-07T02:27:46Z","timestamp":1746584866000},"page":"5-17","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":2,"title":["Trends and research focus on autophagy in Alzheimer's disease (2003\u20132023): A bibliometric study"],"prefix":"10.1177","volume":"106","author":[{"given":"Tianyi","family":"Wang","sequence":"first","affiliation":[{"name":"Heilongjiang University of Chinese Medicine, Harbin, Heilongjiang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haochen","family":"Jiang","sequence":"additional","affiliation":[{"name":"Department of Traditional Chinese Medicine, Qingdao Huangdao Central Hospital, Qingdao, Shandong, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-7808-6607","authenticated-orcid":false,"given":"Ruwen","family":"Zheng","sequence":"additional","affiliation":[{"name":"Heilongjiang University of Chinese Medicine, Harbin, Heilongjiang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chuchu","family":"Zhang","sequence":"additional","affiliation":[{"name":"Institute of Information on Traditional Chinese Medicine, Chinese Academy of Chinese Medical Sciences, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiumei","family":"Ma","sequence":"additional","affiliation":[{"name":"Department of Traditional Chinese and Western Medicine, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital &amp; Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yi","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Traditional Chinese and Western Medicine, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2025,5,6]]},"reference":[{"key":"e_1_3_3_2_2","doi-asserted-by":"publisher","DOI":"10.24272\/j.issn.2095-8137.2023.294"},{"key":"e_1_3_3_3_2","doi-asserted-by":"publisher","DOI":"10.1007\/s40120-022-00338-8"},{"key":"e_1_3_3_4_2","doi-asserted-by":"publisher","DOI":"10.4103\/1673-5374.367840"},{"key":"e_1_3_3_5_2","article-title":"Estimation of the global prevalence of dementia in 2019 and forecasted prevalence in 2050: an analysis for the global burden of disease study 2019","volume":"7","author":"GBD 2019 Dementia Forecasting Collaborators","year":"2022","unstructured":"GBD 2019 Dementia Forecasting Collaborators. 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