Evidence map›Paper›PMID 42848268›Full record

ArticleJournal of robotic surgery2026

Global research trends and hotspots of robot-assisted urological telesurgery: a bibliometric analysis.

Biao Zhang, Xuan Li, Shujun Yang, Cheng Wang, Can Li, Hong Chang, Panfeng Shang, Su Zhang

Abstract read
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Article in Journal of robotic surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from 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.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Biao ZhangDepartment of Urology, The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, China.
Xuan LiDepartment of Urology, The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, China.
Shujun YangDepartment of Urology, The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, China.
Cheng WangDepartment of Urology, The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, China.
Can LiDepartment of Urology, The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, China.
Hong ChangDepartment of Urology, The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, China.
Panfeng ShangDepartment of Urology, The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, China. shangpf@lzu.edu.cn.
Su ZhangDepartment of Urology, The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, China. zhangsu1215@163.com.

Funding

Cuiying Science and Technology Innovation Project CY2024-MS-A02Cuiying Science and Technology Innovation Project CY2024-MS-B10Cuiying Student Research Training Program CYXZPT2025-05Gansu Province Health Sector Planning Projects GSWSKY2025-47
6 · The paper itself

Abstract

With the integration of telecommunication and intelligent robotic technology, robot-assisted urological telesurgery has progressively evolved from early technical exploration toward broader clinical applications and procedural optimization, yet the global knowledge architecture, collaborative patterns and thematic evolution of this field remain unsystematically characterized. This study adopted bibliometric methodologies to systematically map the global research landscape, thematic evolutionary trends, and collaborative patterns of robot-assisted urological telesurgery over the period 2005-2025. The results demonstrated an overall increase in cumulative publication output from 2005 to 2025, accompanied by fluctuating annual productivity. China surpassed the United States in publication output in 2023, whereas the United States retained the highest citation impact and a central position in international collaboration. Qingdao University was the most productive affiliation, and author productivity was led by Patel V, followed by Moschovas MC, Niu HT and Yang XC. Journal of Robotic Surgery was the most productive source, whereas Surgical Endoscopy and European Urology occupied prominent positions in the local citation structure. Keyword co-occurrence, clustering, burst detection and timeline analyses revealed a progressive transition from early system development and feasibility exploration toward broader minimally invasive and robot-assisted urological applications. "Minimally invasive surgical procedures" remained an active burst term from 2023 to 2025, while current thematic clusters prominently involved minimally invasive surgery, robotic surgical procedures, robot-assisted surgery and remote surgery. Despite increasing research activity, international and inter-institutional collaboration remained geographically clustered. This bibliometric research summarizes the global knowledge framework and hotspot transitions within this discipline, and underscores the requirements for extensive international collaboration, standardized training programmes, high-end communication infrastructure and accessible remotesurgical care services.

Indexed as

BibliometricsRobotic Surgical ProceduresTelemedicineUrologic Surgical ProceduresHumansUrologyBibliometric analysisHotspotsResearch trendsRobot-assisted urological telesurgery

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Registered trials

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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.