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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
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    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. 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.
    3. 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.
    4. 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.
    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.
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