Evidence map›Paper›PMID 40699509›Full record

ArticleDiscover oncology2025

Application of ultrasound in liver cancer from 2014 to 2024: bibliometric analysis and global trends.

Yaping Zhu, Yanyan Lu, Xinju Chen

Abstract read
In one paragraph

Article in Discover oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Yaping ZhuDepartment of Gastroenterology and Hepatobiliary Medicine, The First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, China. zhuyaping2016@163.com.
Yanyan LuSchool of Clinical Medicine, Shangqiu Medical College, Shangqiu, China.
Xinju ChenDepartment of Gastroenterology and Hepatobiliary Medicine, The First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLiver cancer remains one of the most prevalent and lethal malignancies worldwide, highlighting the need for effective diagnostic and monitoring strategies. Ultrasound plays a vital role in the early diagnosis, monitoring, and treatment of liver cancer. However, no bibliometric analysis has been conducted in this field before. This study aims to provide a comprehensive overview of the knowledge structure and research hotspots related to the application of ultrasound in liver cancer via bibliometric methodologies.

methodsA search was performed in the Web of Science Core Collection database for English literature studies on the application of ultrasound in liver cancer from 2014 to 2024. Bibliometric analysis tools including VOSviewer, CiteSpace, and R Studio, were utilized to analyze global trends and research hotspots in this field.

resultsA total of 2501 eligible publications, including 2048 articles and 453 reviews, were analyzed. In the past decade, both the annual output of publications and the citation rates have rapidly increased. The majority of published articles on this topic were originated in China (n = 832, 33.27%), followed by the United States (n = 586, 23.43%), and Italy (n = 222, 8.88%). Researchers from the United States have demonstrated high productivity, prominence, and influence in this area of research. Additionally, Sun Yat-sen University published the most papers (n = 64), whereas the University of Michigan had the highest average citation value (value = 60.28) related to research on the application of ultrasound in liver cancer. Notably, Singal, Amit G from the USA was the author with both the highest number of published articles and the highest average citation value.

conclusionIn recent years, rapid advancements in ultrasound research for liver cancer have been reported. Increasing evidence has illustrated the crucial role of ultrasound in the early diagnosis and monitoring of liver cancer.

Indexed as

Bibliometric analysisLiver cancerTrendsUltrasound

Identifiers

PMID40699509
PMCPMC12287491

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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.