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The Microbiome–Gut–Brain Axis and Dementia: A Bibliometric Analysis
He-Li Sun1,2; Yuan Feng3,4; Qinge Zhang3,4; Jia-Xin Li2; Yue-Ying Wang2; Zhaohui Su5; Teris Cheung6; Todd Jackson7; Sha Sha3,4; Yu-Tao Xiang1,2
2022-12-09
Source PublicationInternational Journal of Environmental Research and Public Health
ISSN1661-7827
Volume19Issue:24Pages:16549
Abstract

Background: Associations between the microbiome–gut–brain axis and dementia have attracted considerable attention in research literature. This study examined the microbiome–gut–brain axis and dementia-related research from a bibliometric perspective. Methods: A search for original research and review articles on the microbiome–gut–brain axis and dementia was conducted in the Web of Science Core Collection (WOSCC) database. The R package “bibliometrix” was used to collect information on countries, institutions, authors, journals, and keywords. VOSviewer software was used to visualize the co-occurrence network of keywords. Results: Overall, 494 articles met the study inclusion criteria, with an average of 29.64 citations per article. Corresponding authors of published articles were mainly from China, the United States and Italy. Zhejiang University in China and Kyung Hee University in Korea were the most active institutions, while the Journal of Alzheimer’s Disease and Nutrients published the most articles in this field. Expected main search terms, “Parkinson disease” and “chain fatty-acids” were high-frequency keywords that indicate current and future research directions in this field. Conclusions: This bibliometric study helped researchers to identify the key topics and trends in the microbiome–gut–brain axis and dementia-related research. High-frequency keywords identified in this study reflect current trends and possible future directions in this field related to methodologies, mechanisms and populations of interest.

KeywordBrain-gut Axis Dementia Alzheimer’s Disease Bibliometrics Hotspots
DOI10.3390/ijerph192416549
URLView the original
Indexed BySCIE ; SSCI
Language英語English
WOS Research AreaEnvironmental Sciences & Ecology ; Public, Environmental & Occupational Health
WOS SubjectEnvironmental Sciences ; Public, Environmental & Occupational Health
WOS IDWOS:000902718900001
PublisherMDPI, ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
Scopus ID2-s2.0-85144504082
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Citation statistics
Document TypeJournal article
CollectionDEPARTMENT OF PSYCHOLOGY
Faculty of Health Sciences
Faculty of Social Sciences
Corresponding AuthorSha Sha; Yu-Tao Xiang
Affiliation1.Unit of Psychiatry, Department of Public Health and Medicinal Administration, Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao SAR, China
2.Centre for Cognitive and Brain Sciences, University of Macau, Macao SAR, China
3.The National Clinical Research Center for Mental Disorders, Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing 100054, China
4.Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, 100054, China
5.School of Public Health, Institute for Human Rights, Southeast University, Nanjing, 210096, China
6.School of Nursing, Hong Kong Polytechnic University, Hong Kong SAR, China
7.Department of Psychology, University of Macau, Macao SAR, China
First Author AffilicationFaculty of Health Sciences;  University of Macau
Corresponding Author AffilicationFaculty of Health Sciences;  University of Macau
Recommended Citation
GB/T 7714
He-Li Sun,Yuan Feng,Qinge Zhang,et al. The Microbiome–Gut–Brain Axis and Dementia: A Bibliometric Analysis[J]. International Journal of Environmental Research and Public Health, 2022, 19(24), 16549.
APA He-Li Sun., Yuan Feng., Qinge Zhang., Jia-Xin Li., Yue-Ying Wang., Zhaohui Su., Teris Cheung., Todd Jackson., Sha Sha., & Yu-Tao Xiang (2022). The Microbiome–Gut–Brain Axis and Dementia: A Bibliometric Analysis. International Journal of Environmental Research and Public Health, 19(24), 16549.
MLA He-Li Sun,et al."The Microbiome–Gut–Brain Axis and Dementia: A Bibliometric Analysis".International Journal of Environmental Research and Public Health 19.24(2022):16549.
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