ArticleAdvanced biomedical research2026
A Holistic Bibliometric Exploration of the Evolution of Epidermodysplasia Verruciformis (EV) Research.
Article in Advanced biomedical research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Epidermodysplasia Verruciformis (EV) is a rare autosomal recessive genodermatosis caused by chronic HPV infection. It leads to widespread cutaneous lesions and an increased risk of non-melanoma skin cancer. The main objective of this article is to conduct a holistic bibliometrics analysis of scientific publications, uncovering trends and citation networks related to EV (1931-2025). Materials and Methods: Data were extracted from the Web of Science Core Collection (1931-2025), and 1489 documents were retrieved. Bibliometric methods and related indicators, including country collaboration map, word co-occurrence, co-citation networks, topics, citations, and publications trends, were analyzed and visualized using the Bibliometrix package in R. Results: The document collection comprises 99 single-authored publications, with a Document Average Age (DAA) of 20.2 years (i.e., the average time elapsed between publication and the year of analysis, 2025), 5.36 authors per document, 32.15 citations per document, and a 2.09% annual growth rate. The five most frequent thematic trends are EV, deoxyri bonucleic acid (DNA), Squamous Cell Carcinoma, Renal Transplant Recipients, and Infection, with frequencies of 423, 167, 127, 121, and 100. The United States, Germany, and Great Britain have the highest numbers of citations, with 13,998, 6,476, and 4,776. "G. Orth," "S. Jablonska," and "M. Favre" received the highest number of citations in EV. The most influential journals are "Journal of Virology," "Journal of Investigative Dermatology," and "Virology". Conclusion: Epidemiological studies on EV prevalence and high-risk human papillomavirus (HPV) types are crucial for policymakers and health planners. Interdisciplinary research, using artificial intelligence, image processing, and machine learning, can enhance research and collaboration.
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What Socratic 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 Socratic graph.