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1000
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Abstract/Summary
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Background!#!To explore the research trends for uveal melanoma with bibliometric methods using Web of Science Core Collection (WoSCC) and PubMed (PM).!##!Methods!#!To find UM-related studies, 'uveal melanoma' was used as search term in the WoSCC and PM for the period time from 2000 to 2020. Bibliographic coupling analysis was used to investigate the journals with the highest number of UM-related publications. VOSviewer (VV) was used for mapping the knowledge domain and visualizing the co-occurrence of terms, authors, organizations, countries, co-citation literature, and keywords. The knowledge map based on WoSCC and PM was compared.!##!Results!#!In the WoSCC 3,748 articles were found, while in PM the search resulted in 3,403 articles. The number of original articles has steadily grown in general in the past two decades. The top ten authors were contributing to 23% (n = 856) of all publications, while the top 10 institutions published 41% (n = 1524) of all articles. The top 3 journals with the highest number of publications for UM-related research included Investigative ophthalmology & visual science, Ophthalmology, and British Journal of Ophthalmology. Co-occurrence analysis based on author keywords showed 6 clusters. The most frequent keywords included are metastasis, prognosis, and brachytherapy. The latest research hotspots focused on BAP1, immunotherapy and GNAQ.!##!Conclusions!#!Genetics and immunology are the latest research frontiers in uveal melanoma. There is a clear need for interdisciplinary, molecular and clinical research approaches to improve the fatal prognosis of uveal melanoma patients.
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1000
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Hinweis
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DeepGreen-ID: 9e2821b99af947619c6e6457fe1a39b4 ; metadata provieded by: DeepGreen (https://www.oa-deepgreen.de/api/v1/), LIVIVO search scope life sciences (http://z3950.zbmed.de:6210/livivo), Crossref Unified Resource API (https://api.crossref.org/swagger-ui/index.html), to.science.api (https://frl.publisso.de/), ZDB JSON-API (beta) (https://zeitschriftendatenbank.de/api/), lobid - Dateninfrastruktur für Bibliotheken (https://lobid.org/resources/search)
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