Erschienen in:
19.10.2022 | Review
A Bibliometric and Visualization Analysis on the Research of Fat Grafting from 1945 to 2021
verfasst von:
Bo Li, CholSik Ri, JiaXin Mao, MuXin Zhao
Erschienen in:
Aesthetic Plastic Surgery
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Ausgabe 1/2023
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Abstract
Background
It is very important to generate a comprehensive assessment of the fat grafting field due to the rapid growth of scientific literature. The current study aimed to use bibliometric analysis to evaluate fat grafting research qualitatively and quantitatively and determine the research hotspots and trends in this field.
Methods
Publications on fat grafting research were extracted from the Web of Science core collection database. VOSviewer 1.6.18 was applied to perform the bibliometric analysis of these articles.
Results
A total of 2558 studies published by 594 different journals authored by 9097 researchers were contained in this study. In the co-authorship analysis, the bulk of the retrieved studies was conducted by the USA, followed by China, Italy and Japan, while the most productive institution, journal and author were Chinese Academy of Medicine Sciences, Plastic and Reconstruction Surgery and Klinger M, respectively. In the co-cited analysis, the most top cited author, journal, organization and country were Coleman Sr, Plastic and Reconstruction Surgery, New York University and the USA, respectively. The map of keywords occurrence revealed the most active research aspects were focused on “surgery,” “cell,” “breast reconstruction” and “survival” and the time overlay mapping showed that the most active research hotspots were “breast reconstruction” and “retention”.
Conclusions
The research hotspots include the following four aspects: aesthetic surgeries, cell-assisted lipotransfer, breast reconstruction and grafted fat survival. Breast fat grafting and volume retention may be trends in the future. We are willing to provide more beneficial data to contribute valuable research for the fat grafting through this study.
Level of Evidence III
This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors
www.springer.com/00266.