ArticleWorld journal of urology2026
Global research landscape of benign prostatic hyperplasia (2010-2026): a bibliometric and visualized analysis revealing evolving trends, hotspots, and future frontiers.
Article in World journal of urology, 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
5 authors.
Funding
Abstract
purposeBenign prostatic hyperplasia (BPH) is a prevalent urological condition among aging males, yet the global research evolution, collaborative patterns, and paradigm shifts in this field remain incompletely characterized. This study aimed to map the global research landscape of BPH from 2010 to 2026, identifying key contributors, knowledge structures, and emerging frontiers.
methodsA bibliometric analysis was performed using data from the Web of Science Core Collection (WoSCC). A total of 5463 records published between 2010 and 2026 were retrieved. Bibliometric indicators, co-authorship networks, and keyword co-occurrence analyses were conducted using VOSviewer and CiteSpace. Descriptive statistics were utilized to analyze publication trends, national contributions, and journal impact.
resultsOur analysis revealed a steady growth in BPH-related publications, increasing from 197 articles in 2010 to a peak of 468 in 2025, with three distinct phases: stable accumulation (2010-2014), minor fluctuation (2015-2019), and rapid expansion (2020-2025). China dominated the global output with 2978 publications (28.94%), followed by the United States (1541, 14.97%), South Korea (1098, 10.67%), Italy (921, 8.95%), and Japan (485, 4.71%). Despite China's quantitative lead, the United States played a pivotal role in international collaboration networks, with the US-Canada partnership being the most frequent (82 collaborations). The Zhongnan Hospital of Wuhan University (91 articles), Sichuan University (88), and Capital Medical University (82) emerged as the most prolific institutions. Among individual researchers, Kaplan Steven A was the most productive author (271 articles), far ahead of Chughtai Bilal (90). The Journal of Urology published the highest volume of influential articles (375), followed by Urology (179) and World Journal of Urology (164). Keyword co-occurrence analysis revealed an evolving trend in research hotspots, shifting from traditional surgical interventions towards inflammation-driven immune pathogenesis and minimally invasive therapies.
conclusionThis study provides a comprehensive visualization of the BPH research trajectory over the past 16 years. It highlights the evolving trends from operative management towards mechanism-based and individualized care, offering strategic insights for future research prioritization and clinical practice in urology.
Indexed as
Identifiers
42635656What 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.