ArticleAesthetic plastic surgery2025
A Bibliometric Analysis of the Articles Published in the Aesthetic Plastic Surgery Journal (1976-2023).
Article in Aesthetic plastic surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed.
- Changing Paradigms in Polyurethane-coated Breast Implant Surgery: A Bibliometric Analysis of 4 Decades of Clinical Practice.Plastic and reconstructive surgery. Global open · 2026Article
- Otoplasty in the Scientific Literature: Global Productivity, Thematic Evolution, and Forecasted Trajectories.Aesthetic plastic surgery · 2026Article
- A Bibliometric Analysis of the Most Influential and Impactful Plastic Surgery Publications From Saudi Arabia.Saudi medical journal · 2026Article
- Artificial Intelligence in Plastic Surgery: A Bibliometric and Visual Analysis of the 100 Most-Cited English-Language Publications.Aesthetic surgery journal. Open forum · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDespite the important role of the Aesthetic Plastic Surgery (APS) journal in the field of aesthetic plastic surgery, there is a notable absence of literature that focuses exclusively on the bibliometric analysis of this journal. In recognition of APS's 48 years of publishing, this study aims to perform a bibliometric analysis of the articles published in the APS (1976-2023).
methodsArticles published in the APS were extracted from the Web of Science Core Collection database. VOSviewer was employed to perform bibliometric analyses. Microsoft Excel was utilized to analyse the publication and citation trends.
resultsFrom 1976 to 2023, 5134 articles were published in the APS. These articles were contributed by 12,963 researchers from 3354 institutions across 91 countries. The USA and China were the leading contributors. The most prolific author is Luan Jie from China. The co-citation networks highlighted the influence of the journal Plastic and Reconstructive Surgery. We categorized the articles into four groups, and the results show that articles with the highest publications and citations in the APS are related to facial cosmetic surgery. In terms of specific surgical procedures, breast augmentation surgery has garnered consistent attention from researchers over the past 48 years, ranking first in both the number of publications and citations.
conclusionThe findings of this study indicate that the APS is a significant scientific journal, is widely utilized by global researchers in the field of aesthetic plastic surgery, and spans diverse knowledge domains. LEVEL OF EVIDENCE V: 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 .
Indexed as
Identifiers
39455459What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.