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Review
. 2023 Aug 28:14:1245719.
doi: 10.3389/fendo.2023.1245719. eCollection 2023.

Trends in metabolic dysfunction in polycystic ovary syndrome: a bibliometric analysis

Yan Xu  1 , Zhiqun Cao  2 , Ting Chen  1 , Jian Ren  1
Affiliations
Review

Trends in metabolic dysfunction in polycystic ovary syndrome: a bibliometric analysis

Yan Xu et al. Front Endocrinol (Lausanne). .

Abstract

Polycystic ovary syndrome (PCOS) is a very common chronic disease and causes reproductive disorders in women of childbearing age worldwide. The cause of metabolic dysfunction in PCOS is unknown, and there is a lack of systematic bibliometric analysis for this disease. This study included 3,972 articles on metabolic dysfunction in PCOS published from 2012 to 2021. We applied the VOSviewer and the CiteSpace scientometric analysis software to analyze the data regarding the publication of the articles, countries, authors, institutions, scientific categories, cited journals, and keywords. Through this analysis, we determined the research efforts and their developing trends and anticipated the progress in understanding PCOS-related metabolic dysfunction.

Keywords: CiteSpace; VOSviewer; bibliometric analysis; metabolism; polycystic ovary syndrome.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
(A) A linear regression model showing the number of articles published and the number of articles that were predicted to be published in the last decade on metabolic dysfunction in PCOS. (B) Linear regression model for predicting the number of publications in the field of metabolic dysfunction in PCOS in the next five years.
Figure 2
Figure 2
(A) Publication volume and cooperation intensity (collaboration network) of 15 countries in the field of metabolic dysfunction in PCOS. (B) Citation frequency and the number of collaborations among 15 countries that studied the metabolic dysfunction in PCOS.
Figure 3
Figure 3
(A) A collaborative network of co-authors to study the effect of metabolic dysfunction in PCOS. (B) A collaborative network of national institutions on metabolic dysfunction in PCOS.
Figure 4
Figure 4
(A) Double graph overlay of journals that published articles on metabolic dysfunction in PCOS. (B). The impact map of scientific categories related to the metabolic dysfunction in PCOS.
Figure 5
Figure 5
(A) Network visualization of keywords used in the published articles related to the topic of metabolic dysfunction in PCOS. (B) Heat map of keywords among the published articles on metabolic dysfunction in PCOS. (C) Keywords used in the articles in the field of metabolic dysfunction in PCOS. (D) Keywords’ appearances in articles related to the study on metabolic dysfunction in PCOS. (E) Co-cited network cluster analysis in the domain of metabolic dysfunction in PCOS. (F) Co-cited network time zones on metabolic dysfunction in PCOS. (G) Time zone map of keywords used in articles on metabolic dysfunction in PCOS.
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