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. 2022 Jul 22:9:947649.
doi: 10.3389/fmed.2022.947649. eCollection 2022.

Deciphering the focuses and trends in skin regeneration research through bibliometric analyses

Jian Zhou  1   2 , Chen Dong  3 , Qiuju Shu  2 , Yang Chen  4 , Qing Wang  2 , Dandan Wang  2 , Ge Ma  5
Affiliations

Deciphering the focuses and trends in skin regeneration research through bibliometric analyses

Jian Zhou et al. Front Med (Lausanne). .

Abstract

Increasing attention to skin regeneration has rapidly broadened research on the topic. However, no bibliometric analysis of the field's research trends has yet been conducted. In response to this research gap, this study analyzed the publication patterns and progress of skin regeneration research worldwide using a bibliometric analysis of 1,471 papers comprising 1,227 (83.4%) original articles and 244 (16.6%) reviews sourced from a Web of Science search. Publication distribution was analyzed by country/region, institution, journal, and author. The frequency of keywords was assessed to prepare a bibliometric map of the development trends in skin regeneration research. China and the United States were the most productive countries in the field: China had the greatest number of publications at 433 (29.4%) and the United States had the highest H-index ranking (59 with 15,373 citations or 31.9%). Author keywords were classified into four clusters: stem cell, biomaterial, tissue engineering, and wound dressing. "Stem cells," "chitosan," "tissue engineering," and "wound dressings" were the most frequent keywords in each cluster; therefore, they reflected the field's current focus areas. "Immunomodulation," "aloe vera," "extracellular vesicles," "injectable hydrogel," and "three-dimensional (3D) bioprinting" were relatively new keywords, indicating that biomaterials for skin regeneration and 3D bioprinting are promising research hotspots in the field. Moreover, clinical studies on new dressings and techniques to accelerate skin regeneration deserve more attention. By uncovering current and future research hotspots, this analysis offers insights that may be useful for both new and experienced scholars striving to expand research and innovation in the field of skin regeneration.

Keywords: 3D bioprinting; bibliometric analysis; skin regeneration research; tissue engineering; wound dressing.

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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
Contributions of different countries/regions to the field of skin regeneration. (A) Number of publications worldwide and the time course of relative research interest in skin regeneration; (B) number of publications, citation frequency (×0.03), H-index (×6), and GDP (×20, per trillion US dollars, 2020) of countries/regions (no less than five publications regarding skin regeneration); (C) number of publications from the top three and other countries per year (RRI, relative research interest).
FIGURE 2
FIGURE 2
Co-authorship analysis of countries/regions divided into five clusters indicated with different colors. The large icon indicates countries/regions with high frequencies. Maximum number of countries per paper: 25; minimum number of countries per paper: 10; and minimum number of citations from one country: 10.
FIGURE 3
FIGURE 3
Number of institutions and journals focusing on skin regeneration. (A) Top 10 journals publishing research on skin regeneration; (B) top 10 institutes publishing research on skin regeneration.
FIGURE 4
FIGURE 4
Co-authorship analysis of organizations divided into five clusters, indicated with different colors. The large icon indicates organizations with high frequencies. Maximum number of countries per paper: 25; minimum number of countries per paper: 10; and minimum number of citations from one country: 10.
FIGURE 5
FIGURE 5
Co-authorship analysis of authors. The authors were divided into eight clusters, indicated with different colors. The large icon indicates authors with high frequencies. Maximum number of authors per paper: 25; minimum number authors per paper: 4; and minimum number of citations of one author: 4.
FIGURE 6
FIGURE 6
Analysis of keywords in publications on skin regeneration. (A) Map of the keywords concerning skin regeneration. The keywords were divided into three clusters, indicated with different colors. The large icon indicates keywords with high frequencies. (B) The keyword distribution is presented according to the average date of appearance, with blue representing an early appearance and yellow indicating a recent appearance. The smaller the distance between two keywords, the greater the frequency of their co-occurrence. Minimum number of occurrences of one keyword: 7.
FIGURE 7
FIGURE 7
Citation and co-citation analysis of papers on skin regeneration. (A) Citation map; the distribution of publications is presented according to the average date of appearance, with blue representing an early appearance and yellow indicating a recent appearance; the red horizontal line indicates the most cited articles and the most cited articles among the latest articles; minimum number of times a paper was cited: 50. (B) Co-citation map; the publications were divided into three clusters in accordance with different colors. The large icon indicates publications with high frequencies; minimum number of citations of one document: 25.
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