ArticleAmerican journal of translational research2023
The research landscape on vascularized composite allografts: a bibliometric analysis (2002-2021).
Article in American journal of translational research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The application of infrared thermography technology in flap: A perspective from bibliometric and visual analysis.International wound journal · 2023Pooled it
- Unraveling the anoikis-cancer nexus: a bibliometric analysis of research trends and mechanisms.Future science OA · 2025Article
- Global Research Trends and Hotspots in Fracture Nonunion and Delayed Union: A 2-Decade Bibliometric Analysis.Indian journal of orthopaedics · 2025Article
- Application of tissue engineering in wound healing: A 20-year bibliometric and visualized study.Medicine · 2025Article
- Knowledge mapping and research trends of stem cell in wound healing: A bibliometric analysis.International wound journal · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveVascularized composite allografts (VCAs) refer to the transplantation of multiple types of tissues during plastic and reconstructive surgery. Several publications have emerged in the field of VCA. However, there are no bibliometric studies on this topic. The aim was to multidimensionally analyze the knowledge base and hotspots in this subject.
methodsWe retrieved all publications related to VCA from the Web of Science Core Collection (WoSCC), published from 2002 to 2021. Next, scientometric analysis of different items was performed using various bibliometrics software to explore knowledge base, research hotspots, and advancement trends in this field.
resultsWe included a total of 3,190 English articles from 2002 to 2021. The number of publications increased steadily annually. The United States produced the highest number of publications, followed by China. Most publications were from Harvard University, followed by Johns Hopkins University. The most authoritative academic journal was Plastic and Reconstructive Surgery. Transplantation occupied the first rank of co-cited journal list. Maria Z Siemionow may have the highest influence in the VCA field with the highest number of citations (n = 88) and co-cited references (n = 1252). Clinical studies on different allografts, immunosuppression, and tissue engineering were both the knowledge base and recent topics in VCA research.
conclusionsThe first bibliometric study comprehensively summarized the trends and development of VCA research with steady growth over the past two decades. Currently, the most active topics are the clinical application of multiple allografts, immunosuppression strategies/therapies, and translation of tissue engineering to clinical practice.
Indexed as
Identifiers
37056844PMC10086906What 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.