Evidence map›Paper›PMID 42324429›Full record

ArticleJournal of robotic surgery2026

From scalpel to console: a bibliometric and knowledge-mapping analysis of robot-assisted cholangiocarcinoma surgery.

Chenglou Zhu, Naiqing Liu

Abstract read
PubMed Publisher
In one paragraph

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. 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

2 authors.

Chenglou ZhuCentral laboratory, Clinical Medical Research Center, Linyi People's Hospital, Shandong Second Medical University, Linyi, 276000, China. zhuchenglou@hotmail.com.ORCID http://orcid.org/0000-0002-9787-7436
Naiqing LiuCentral laboratory, Clinical Medical Research Center, Linyi People's Hospital, Shandong Second Medical University, Linyi, 276000, China. naiqing_liu@126.com.

Funding

Natural Science Foundation of Gansu Province 26JRRA731
6 · The paper itself

Abstract

To systematically evaluate the global research landscape of robot-assisted cholangiocarcinoma surgery (RAC) using bibliometric and knowledge-mapping methods. Literature related to RAC was retrieved from the Web of Science Core Collection from database inception to December 31, 2025. Only English-language articles and reviews were included. Data extraction was performed independently by two investigators. Bibliometric and visualization analyses were conducted using CiteSpace, VOSviewer, and R software, focusing on publication trends, countries, institutions, authors, journals, keyword co-occurrence, and co-cited references. A total of 162 publications were included. The number of publications showed an overall increasing trend, particularly after 2020. The United States (49 publications) and China (35 publications) were the leading contributing countries. Institutional and author analyses identified several core productive groups, with limited cross-national collaboration observed. Keyword analysis indicated that research mainly focused on radical resection, survival outcomes, robotic liver surgery, and hilar cholangiocarcinoma. Co-citation and burst analyses showed that recent studies have increasingly focused on robotic hepatectomy and perioperative outcomes. RAC research has increased in recent years, with growing academic interest and evolving research themes. However, the field remains relatively early in development, and further studies are needed to support more comprehensive evidence and broader collaboration.

Indexed as

BibliometricsBile Duct NeoplasmsCholangiocarcinomaRobotic Surgical ProceduresHepatectomyHumansBibliometricsCholangiocarcinomaKnowledge mappingRobot-assisted surgeryVisualization Analysis

Identifiers

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.