Evidence map›Paper›PMID 40160621›Full record

ArticleQuantitative imaging in medicine and surgery2025

Advancing insights: a bibliometric analysis of evolutionary patterns and research frontiers in ultrasound-derived quantitative assessment of skeletal muscle.

Zhe Sun, Jiajia Tang, Liangkai Wang, Jiaojiao Ma, Tongtong Zhou, Huilin Li, Xinyi Liu, Xuejiao Yu, Bo Zhang

Abstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Zhe SunChina-Japan Friendship Hospital (Institute of Clinical Medical Sciences), Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Jiajia TangChina-Japan Friendship Hospital (Institute of Clinical Medical Sciences), Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Liangkai WangDepartment of Ultrasound, China-Japan Friendship Hospital, Beijing, China.
Jiaojiao MaChina-Japan Friendship Hospital (Institute of Clinical Medical Sciences), Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Tongtong ZhouChina-Japan Friendship Hospital (Institute of Clinical Medical Sciences), Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Huilin LiChina-Japan Friendship Hospital (Institute of Clinical Medical Sciences), Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Xinyi LiuDepartment of Ultrasound, China-Japan Friendship Hospital, Beijing, China.
Xuejiao YuChina-Japan Friendship Hospital (Institute of Clinical Medical Sciences), Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Bo ZhangChina-Japan Friendship Hospital (Institute of Clinical Medical Sciences), Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Quantitative ultrasound has emerged as a promising tool for measuring skeletal muscle mass and quality. Given the growing need for early detection of muscle dysfunction and sarcopenia, this study aims to provide a comprehensive bibliometric analysis of the current state of knowledge in this field, identifying key trends, gaps, and themes to guide future research and clinical applications. Methods: A bibliometric analysis was performed on articles retrieved from the Science Citation Index-Expanded (SCI-EXPANDED) database within the Web of Science Core Collection up to April 28, 2024. The 'bibliometrix' R package was utilized to synthesize main findings, quantify the occurrences of top keywords, and visualize international collaboration networks. Keyword co-occurrence and co-authorship were analyzed utilizing VOSviewer. Additionally, CiteSpace facilitated the identification of cited references and keywords exhibiting highest citation bursts. Results: A total of 3,379 publications were analyzed. The United States, Japan, and China emerged as the leading contributors to this field. The European Journal of Applied Physiology was identified as the most prolific journal, and Takashi Abe was distinguished for achieving the leading H-index. "Strength" and "reliability" topped the keyword frequency list. "Insulin resistance", "impact", "shear wave elastography", "risk", and "sarcopenia" were keywords that continued to burst as of 2024, which indicated the potential emerging research topics and future frontiers. Conclusions: This bibliometric analysis, encompassing over forty years of literature on quantitative ultrasound assessment of skeletal muscle, delineated key contributions from countries, institutions, authors, and journals. The findings highlight the utility of quantitative ultrasound as a critical tool in assessing skeletal muscle mass and function, demonstrating its global impact and research trends.

Indexed as

bibliometric analysisCiteSpaceQuantitative ultrasoundskeletal muscleVOSviewer

Identifiers

PMID40160621
PMCPMC11948402

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.