IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i24p16549-d998504.html
   My bibliography  Save this article

The Microbiome–Gut–Brain Axis and Dementia: A Bibliometric Analysis

Author

Listed:
  • He-Li Sun

    (Unit of Psychiatry, Department of Public Health and Medicinal Administration, Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao SAR, China
    Centre for Cognitive and Brain Sciences, University of Macau, Macao SAR, China
    These authors contributed equally to this work.)

  • Yuan Feng

    (The National Clinical Research Center for Mental Disorders, Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing 100054, China
    Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing 100054, China
    These authors contributed equally to this work.)

  • Qinge Zhang

    (The National Clinical Research Center for Mental Disorders, Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing 100054, China
    Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing 100054, China
    These authors contributed equally to this work.)

  • Jia-Xin Li

    (Centre for Cognitive and Brain Sciences, University of Macau, Macao SAR, China)

  • Yue-Ying Wang

    (Centre for Cognitive and Brain Sciences, University of Macau, Macao SAR, China)

  • Zhaohui Su

    (School of Public Health, Institute for Human Rights, Southeast University, Nanjing 210096, China)

  • Teris Cheung

    (School of Nursing, Hong Kong Polytechnic University, Hong Kong SAR, China)

  • Todd Jackson

    (Department of Psychology, University of Macau, Macao SAR, China)

  • Sha Sha

    (The National Clinical Research Center for Mental Disorders, Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing 100054, China
    Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing 100054, China)

  • Yu-Tao Xiang

    (Unit of Psychiatry, Department of Public Health and Medicinal Administration, Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao SAR, China
    Centre for Cognitive and Brain Sciences, University of Macau, Macao SAR, China)

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.

Suggested Citation

  • 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," IJERPH, MDPI, vol. 19(24), pages 1-14, December.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:24:p:16549-:d:998504
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/24/16549/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/19/24/16549/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Aria, Massimo & Cuccurullo, Corrado, 2017. "bibliometrix: An R-tool for comprehensive science mapping analysis," Journal of Informetrics, Elsevier, vol. 11(4), pages 959-975.
    2. Dag W. Aksnes & Liv Langfeldt & Paul Wouters, 2019. "Citations, Citation Indicators, and Research Quality: An Overview of Basic Concepts and Theories," SAGE Open, , vol. 9(1), pages 21582440198, February.
    3. Lutz Bornmann & Hans‐Dieter Daniel, 2007. "What do we know about the h index?," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 58(9), pages 1381-1385, July.
    4. Tao Ding & Patrick D. Schloss, 2014. "Dynamics and associations of microbial community types across the human body," Nature, Nature, vol. 509(7500), pages 357-360, May.
    5. Nees Jan Eck & Ludo Waltman, 2010. "Software survey: VOSviewer, a computer program for bibliometric mapping," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(2), pages 523-538, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhichao Wang & Valentin Zelenyuk, 2021. "Performance Analysis of Hospitals in Australia and its Peers: A Systematic Review," CEPA Working Papers Series WP012021, School of Economics, University of Queensland, Australia.
    2. Lucy Semerjian & Kunle Okaiyeto & Mike O. Ojemaye & Temitope Cyrus Ekundayo & Aboi Igwaran & Anthony I. Okoh, 2021. "Global Systematic Mapping of Road Dust Research from 1906 to 2020: Research Gaps and Future Direction," Sustainability, MDPI, vol. 13(20), pages 1-21, October.
    3. Jin Su & Mo Wang & Mohd Adib Mohammad Razi & Norlida Mohd Dom & Noralfishah Sulaiman & Lai-Wai Tan, 2023. "A Bibliometric Review of Nature-Based Solutions on Urban Stormwater Management," Sustainability, MDPI, vol. 15(9), pages 1-23, April.
    4. Wirapong Chansanam & Chunqiu Li, 2022. "Scientometrics of Poverty Research for Sustainability Development: Trend Analysis of the 1964–2022 Data through Scopus," Sustainability, MDPI, vol. 14(9), pages 1-19, April.
    5. Jaydarifard, Saeed & Morawska, Lidia & Paz, Alexander, 2024. "Mitigating airborne infection risks in public transportation: A systematic review," Transport Policy, Elsevier, vol. 155(C), pages 309-320.
    6. Cinzia Daraio & Simone Di Leo & Loet Leydesdorff, 2022. "Using the Leiden Rankings as a Heuristics: Evidence from Italian universities in the European landscape," LEM Papers Series 2022/08, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    7. Zamani, Mehdi & Yalcin, Haydar & Naeini, Ali Bonyadi & Zeba, Gordana & Daim, Tugrul U, 2022. "Developing metrics for emerging technologies: identification and assessment," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    8. Dušan Nikolić & Dragan Ivanović & Lidija Ivanović, 2024. "An open-source tool for merging data from multiple citation databases," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(7), pages 4573-4595, July.
    9. Shiwangi Singh & Sanjay Dhir, 2019. "Structured review using TCCM and bibliometric analysis of international cause-related marketing, social marketing, and innovation of the firm," International Review on Public and Nonprofit Marketing, Springer;International Association of Public and Non-Profit Marketing, vol. 16(2), pages 335-347, December.
    10. Ivone de Bem Oliveira & Rhewter Nunes & Lucia Mattiello & Stela Barros-Ribeiro & Isabela Pavanelli Souza & Alexandre Siqueira Guedes Coelho & Rosane Garcia Collevatti, 2019. "Research and partnership in studies of sugarcane using molecular markers: a scientometric approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(1), pages 335-355, April.
    11. Pan Zhang & Yongjun Du & Sijie Han & Qingan Qiu, 2022. "Global Progress in Oil and Gas Well Research Using Bibliometric Analysis Based on VOSviewer and CiteSpace," Energies, MDPI, vol. 15(15), pages 1-27, July.
    12. Assunta Di Vaio & Rohail Hassan & Gabriella D’Amore & Riccardo Tiscini, 2024. "Responsible innovation and ethical corporate behavior in the Asian fashion industry: A systematic literature review and avenues ahead," Asia Pacific Journal of Management, Springer, vol. 41(3), pages 1129-1173, September.
    13. Lingjie Tang & Chang’an Zhang, 2024. "Analysis and Mapping of Scientific Literature on Cross-Cultural Adaptation of Global Immigrants (1963–2022)," SAGE Open, , vol. 14(2), pages 21582440241, May.
    14. Moaaz Kabil & Mohamed Abouelseoud & Faisal Alsubaie & Heba Mostafa Hassan & Imre Varga & Katalin Csobán & Lóránt Dénes Dávid, 2022. "Evolutionary Relationship between Tourism and Real Estate: Evidence and Research Trends," Sustainability, MDPI, vol. 14(16), pages 1-19, August.
    15. Toshiyuki Hasumi & Mei-Shiu Chiu, 2022. "Online mathematics education as bio-eco-techno process: bibliometric analysis using co-authorship and bibliographic coupling," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(8), pages 4631-4654, August.
    16. Caputo, Andrea & Pizzi, Simone & Pellegrini, Massimiliano M. & Dabić, Marina, 2021. "Digitalization and business models: Where are we going? A science map of the field," Journal of Business Research, Elsevier, vol. 123(C), pages 489-501.
    17. Santos-Rojo, Cristina & Llopis-Amorós, Malar & García-García, Juan Manuel, 2023. "Overtourism and sustainability: A bibliometric study (2018–2021)," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    18. Zoltán Lakner & Brigitta Plasek & Anna Kiss & Sándor Soós & Ágoston Temesi, 2021. "Derailment or Turning Point? The Effect of the COVID-19 Pandemic on Sustainability-Related Thinking," Sustainability, MDPI, vol. 13(10), pages 1-13, May.
    19. Jamali, Seyedh Mahboobeh & Nader, Ale Ebrahim & Jamali, Fatemeh, 2021. "The Role of STEM Education in Improving the Quality of Education: A Bibliometric Study," MPRA Paper 114214, University Library of Munich, Germany, revised 02 May 2022.
    20. Tomasz Zema & Adam Sulich, 2022. "Models of Electricity Price Forecasting: Bibliometric Research," Energies, MDPI, vol. 15(15), pages 1-18, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:19:y:2022:i:24:p:16549-:d:998504. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.