Evidence map›Paper›PMID 41400753›Full record

ArticleJournal of robotic surgery2025

A bibliometric analysis of the top 100 most-cited articles published in the Journal of Robotic Surgery.

Siddig Ibrahim Abdelwahab, Manal Mohamed Elhassan Taha, Abdullah Farasani, Jobran M Moshi, Ahmad Assiri, Saeed Alshahrani, Khaled A Sahli, Hussam M Shubaily, Marwa Qadri, Amani Khardali and 1 more

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of robotic surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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

11 authors.

Siddig Ibrahim AbdelwahabHealth Research Center, Jazan University, Jazan, Saudi Arabia.
Manal Mohamed Elhassan TahaHealth Research Center, Jazan University, Jazan, Saudi Arabia.
Abdullah FarasaniDepartment of Medical Laboratory Technology, Faculty of Nursing and Health Sciences, Jazan University, Jazan, Saudi Arabia.
Jobran M MoshiDepartment of Medical Laboratory Technology, Faculty of Nursing and Health Sciences, Jazan University, Jazan, Saudi Arabia.
Ahmad AssiriDepartment of Dermatology, Faculty of Medicine, Jazan University, Jazan, Saudi Arabia.
Saeed AlshahraniDepartment of Pharmacology and Toxicology, College of Pharmacy, Jazan University, Jazan, 45142, Saudi Arabia.
Khaled A SahliSecurity Forces Hospitals Program, General Directorate of Medical Services, Ministry of Interior, Riyadh, Saudi Arabia.
Hussam M ShubailyDepartment of Pathology, Faculty of Medicine, Jazan University, Jazan, Saudi Arabia.
Marwa QadriDepartment of Pharmacology and Toxicology, College of Pharmacy, Jazan University, Jazan, 45142, Saudi Arabia.
Amani KhardaliDepartment of Clinical Pharmacy, College of Pharmacy, Jazan University, Jazan, Saudi Arabia.
Waseem HassanInstitute of Chemical Sciences, University of Peshawar, Peshawar, Khyber Pakhtunkhwa, 25120, Pakistan. waseem_anw@yahoo.com.

Funding

Jazan University 12899-jazzan-2023-JZU-R-2-1-HW
6 · The paper itself

Abstract

This study presents a bibliometric analysis of the top 100 most-cited papers published in the Journal of Robotic Surgery (JORS), aiming to identify publication patterns, leading authors and institutions, and major research themes. Publication data were retrieved from Scopus, including all original articles and review papers up to December 2025. A total of 2,534 documents were identified, comprising 2,126 original articles and 408 reviews, with the United States (1,045 publications), China (329), Italy (210), the United Kingdom (203), and India (123) as leading contributors. North Sichuan Medical College (56 publications) and Icahn School of Medicine at Mount Sinai (36) were the most productive institutions. The top 100 most-cited papers, published between 2008 and 2024, included 80 research articles and 20 reviews, with an average age of 7.66 years and 53.29 citations per paper. Annual publication output peaked in 2025 (551 articles), while mean citations per year increased over time, reaching 35.70 for the most recent papers. Co-word analysis using VOSviewer revealed three primary thematic clusters. The first cluster focused on training, simulation, and performance assessment, emphasizing virtual and augmented reality, haptic feedback, structured curricula, and platform-specific interfaces such as the da Vinci system. The second cluster centered on spine surgery, highlighting robotic-assisted and image-guided procedures, pedicle screw placement, minimally invasive techniques, intraoperative imaging, and postoperative outcomes in both adult and pediatric populations. The third cluster concentrated on urologic oncology, particularly prostate surgery, integrating perioperative outcomes, complication profiles, learning curves, and institutional or surgeon-level performance metrics. Across all clusters, studies consistently combined technological innovation with clinical application, including comparative evaluations of robotic versus conventional procedures, patient-centered outcomes, preclinical models, and novel surgical technologies such as 3D printing, augmented reality, and telesurgery. These findings demonstrate that highly cited research in robotic surgery emphasizes both clinical efficacy and technical development, with strong attention to training, outcome optimization, and emerging technologies. The study provides a comprehensive overview of influential research, guiding future investigations, and policy decisions in robotic-assisted surgery.

Indexed as

BibliometricsPeriodicals as TopicRobotic Surgical ProceduresHumansBibliometric analysisCo-words analysisJournal of Robotic SurgeryTop-cited papersTop contributor

Identifiers

PMID41400753

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.