ArticleJournal of robotic surgery2026
An exploratory bibliometric analysis of robot-assisted ligament repair and reconstruction surgery worldwide.
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.
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
This bibliometric study aims to map the global research landscape of robot-assisted ligament repair and reconstruction surgery from 2016 to 2025, identifying publication trends, leading contributors, collaborative networks, research hotspots and the intellectual structure of this emerging field. English-language literature was systematically retrieved from the Web of Science Core Collection database published between 1 January 2016 and 31 December 2025. After deduplication and independent screening by two researchers against predefined inclusion and exclusion criteria, 47 articles (35 original research articles and 12 reviews) were included. Bibliometric analysis and network visualisation were performed using CiteSpace software (version 7.0). Annual publication trends, country/institutional distribution, author collaboration networks, reference co-citation and keyword co-occurrence patterns were analysed. Annual publications exhibited a fluctuating upward trend, increasing from one article in 2016 to seven in 2025, with a cumulative total of 47 articles (R² = 0.7985). China led in output with 18 publications (38.3%), followed by the United States with 11 (23.4%); Peking University and Xi'an Jiaotong University were the most productive institutions. Author collaboration was characterised by broad participation yet shallow cooperation, with no stable core research group and generally low centrality. The co-citation network revealed a two-cluster structure with sparse connectivity, indicating limited knowledge transfer between early and recent studies. Keyword analysis identified six major directions, with anterior cruciate ligament reconstruction as the dominant cluster. Research themes evolved from fundamental disciplines toward image-guided technologies, handheld robotic devices and, most recently, artificial intelligence integration. Research on robot-assisted ligament repair and reconstruction has progressed from initial exploration to gradual growth over the past decade; however, it remains in an early developmental stage with limited output and an immature knowledge framework. Anterior cruciate ligament reconstruction constitutes the current core focus, and the convergence of artificial intelligence is an emerging trend warranting continued observation. Enhanced inter-institutional and international collaboration is needed to advance the field.
Indexed as
Identifiers
42684563What 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.