IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i10p6153-d818677.html
   My bibliography  Save this article

A Bibliometric Analysis of the Literature on Irisin from 2012–2021

Author

Listed:
  • Jiangshan Liu

    (College of Physical Education, Changzhou University, Changzhou 213164, China)

  • Bote Qi

    (Department of Sport and Exercise Science, College of Education, Zhejiang University, Hangzhou 310058, China)

  • Lin Gan

    (College of Physical Education, Changzhou University, Changzhou 213164, China)

  • Yanli Shen

    (Library of Shanghai University of Sport, Shanghai 200438, China)

  • Yu Zou

    (Department of Sport and Exercise Science, College of Education, Zhejiang University, Hangzhou 310058, China)

Abstract

Irisin is a hormone-like molecule mainly released by skeletal muscles in response to exercise, which is proposed to induce the ‘browning’ of white adipose tissue. Since its identification, irisin was reported to be closely associated with many metabolic diseases, including type 2 diabetes mellitus (T2DM), obesity, cardiovascular disease (CVD), and metabolic bone diseases. In recent years, irisin has attracted increasing research interest, and numerous studies have been published in this field. Thus, it is essential to identify the current research status of irisin and measure research hotspots and possible future trends. In this study, by utilizing two visualization software named CiteSpace and VOSviewer, we analyzed 1510 Web of Science publications on irisin published from 2012 to 2021. Our results show that the number of irisin-related articles published annually has increased significantly. China participates in the most studies, followed by the United States and Turkey. Firat University, Harvard University, and Shandong University are three major institutions with larger numbers of publications. The analysis of keywords co-occurrence indicates that insulin resistance, inflammation, and circulating irisin levels in serum are the research hotspots. Apoptosis, BDNF, and osteoporosis will likely become the focus of future research related to irisin. Overall, this study may provide helpful insights for researchers to understand the current research situation and identify the potential frontiers of irisin.

Suggested Citation

  • Jiangshan Liu & Bote Qi & Lin Gan & Yanli Shen & Yu Zou, 2022. "A Bibliometric Analysis of the Literature on Irisin from 2012–2021," IJERPH, MDPI, vol. 19(10), pages 1-16, May.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:10:p:6153-:d:818677
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/10/6153/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/19/10/6153/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Chaomei Chen, 2006. "CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(3), pages 359-377, February.
    2. Pontus Boström & Jun Wu & Mark P. Jedrychowski & Anisha Korde & Li Ye & James C. Lo & Kyle A. Rasbach & Elisabeth Almer Boström & Jang Hyun Choi & Jonathan Z. Long & Shingo Kajimura & Maria Cristina Z, 2012. "A PGC1-α-dependent myokine that drives brown-fat-like development of white fat and thermogenesis," Nature, Nature, vol. 481(7382), pages 463-468, January.
    3. Chaomei Chen & Fidelia Ibekwe-SanJuan & Jianhua Hou, 2010. "The structure and dynamics of cocitation clusters: A multiple-perspective cocitation analysis," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(7), pages 1386-1409, July.
    4. 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.
    5. Huchang Liao & Ming Tang & Li Luo & Chunyang Li & Francisco Chiclana & Xiao-Jun Zeng, 2018. "A Bibliometric Analysis and Visualization of Medical Big Data Research," Sustainability, MDPI, vol. 10(1), pages 1-18, January.
    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. Chiemela Victor Amaechi & Idris Ahmed Ja’e & Ahmed Reda & Xuanze Ju, 2022. "Scientometric Review and Thematic Areas for the Research Trends on Marine Hoses," Energies, MDPI, vol. 15(20), pages 1-31, October.
    2. Kai Chen & Xiaoping Lin & Han Wang & Yujie Qiang & Jie Kong & Rui Huang & Haining Wang & Hui Liu, 2022. "Visualizing the Knowledge Base and Research Hotspot of Public Health Emergency Management: A Science Mapping Analysis-Based Study," Sustainability, MDPI, vol. 14(12), pages 1-23, June.
    3. Taotao Yan & Jianhui Xue & Zhidong Zhou & Yongbo Wu, 2020. "The Trends in Research on the Effects of Biochar on Soil," Sustainability, MDPI, vol. 12(18), pages 1-23, September.
    4. Osman Issah & Lúcia Lima Rodrigues, 2021. "Corporate Social Responsibility and Corporate Tax Aggressiveness: A Scientometric Analysis of the Existing Literature to Map the Future," Sustainability, MDPI, vol. 13(11), pages 1-23, June.
    5. Ben Zhang & Chenxu Ming, 2023. "Digital Transformation and Open Innovation Planning of Response to COVID-19 Outbreak: A Systematic Literature Review and Future Research Agenda," IJERPH, MDPI, vol. 20(3), pages 1-26, February.
    6. Nuria Rodríguez-López & M. Isabel Diéguez-Castrillón & Ana Gueimonde-Canto, 2019. "Sustainability and Tourism Competitiveness in Protected Areas: State of Art and Future Lines of Research," Sustainability, MDPI, vol. 11(22), pages 1-32, November.
    7. Boyack, Kevin W. & Klavans, Richard, 2014. "Including cited non-source items in a large-scale map of science: What difference does it make?," Journal of Informetrics, Elsevier, vol. 8(3), pages 569-580.
    8. Yuen-Hsien Tseng & Ming-Yueh Tsay, 2013. "Journal clustering of library and information science for subfield delineation using the bibliometric analysis toolkit: CATAR," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(2), pages 503-528, May.
    9. Peng Wang & Fang-Wei Zhu & Hao-Yang Song & Jian-Hua Hou & Jin-Lan Zhang, 2018. "Visualizing the Academic Discipline of Knowledge Management," Sustainability, MDPI, vol. 10(3), pages 1-28, March.
    10. Peng Cheng & Houtian Tang & Yue Dong & Ke Liu & Ping Jiang & Yaolin Liu, 2021. "Knowledge Mapping of Research on Land Use Change and Food Security: A Visual Analysis Using CiteSpace and VOSviewer," IJERPH, MDPI, vol. 18(24), pages 1-22, December.
    11. Ying Lu & Walter Timo de Vries, 2021. "A Bibliometric and Visual Analysis of Rural Development Research," Sustainability, MDPI, vol. 13(11), pages 1-21, May.
    12. Keng Yang & Hanying Qi, 2022. "Research on Health Disparities Related to the COVID-19 Pandemic: A Bibliometric Analysis," IJERPH, MDPI, vol. 19(3), pages 1-25, January.
    13. Jianhua Hou & Xiucai Yang & Chaomei Chen, 2018. "Emerging trends and new developments in information science: a document co-citation analysis (2009–2016)," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(2), pages 869-892, May.
    14. Floris Goerlandt & Jie Li & Genserik Reniers, 2021. "The Landscape of Risk Perception Research: A Scientometric Analysis," Sustainability, MDPI, vol. 13(23), pages 1-26, November.
    15. Katalin Orosz & Illés J. Farkas & Péter Pollner, 2016. "Quantifying the changing role of past publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(2), pages 829-853, August.
    16. Chaomei Chen & Zhigang Hu & Jared Milbank & Timothy Schultz, 2013. "A visual analytic study of retracted articles in scientific literature," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(2), pages 234-253, February.
    17. Gisleine Carmo & Luiz Flávio Felizardo & Valderí Castro Alcântara & Cristiane Aparecida Silva & José Willer Prado, 2023. "The impact of Jürgen Habermas’s scientific production: a scientometric review," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(3), pages 1853-1875, March.
    18. Chencheng Fang & Jiantong Zhang & Wei Qiu, 2017. "Online classified advertising: a review and bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(3), pages 1481-1511, December.
    19. Hongmei Guan & Taozhen Huang & Xin Guo, 2023. "Knowledge Mapping of Tourist Experience Research: Based on CiteSpace Analysis," SAGE Open, , vol. 13(2), pages 21582440231, April.
    20. Jacob Wood & Gohar Feroz Khan, 2015. "International trade negotiation analysis: network and semantic knowledge infrastructure," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(1), pages 537-556, October.

    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:10:p:6153-:d:818677. 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.