Evidence map›Paper›PMID 40859059›Full record

ArticleDiscover oncology2025

A bibliometric analysis of trends and hotspots in autophagy in gastric cancer.

Jianfang Zhu, Liuyang Shu

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

2 authors.

Jianfang Zhu *Department of Medical Oncology, People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, 530021, China. jianfang_zhu@sina.com.
Liuyang Shu *Department of Medical Oncology, People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, 530021, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAutophagy plays a critical role in the biology of gastric cancer (GC), influencing tumor progression, drug resistance, and treatment outcomes. This study aims to analyze the bibliometric landscape of autophagy research in GC, identifying key contributors, influential publications, and emerging research themes.

methodA systematic literature search was conducted using the Web of Science Core Collection, encompassing studies published from 1977 to 2024. Bibliometric analysis was performed utilizing VOSviewer 1.6.20, CiteSpace 6.3.R1, and the R package "bibliometrix" to visualize patterns in co-authorship, institutional collaborations, citations, keyword co-occurrences, and emerging research trends.

resultsA total of 1179 articles on autophagy in GC were identified, reflecting a steady annual growth rate of 10.5%. China accounted for 77.7% of the publications, with Nanjing Medical University emerging as the leading institution. Collaboration networks revealed limited international partnerships, with a predominant focus on regional research efforts. Zhang L and Zhang X were recognized as the most prolific and impactful authors, while journals such as Cell Death & Disease and Oncology Reports were identified as prominent publication venues. Emerging research hotspots included autophagy-mediated drug resistance, epithelial-mesenchymal transition, and the roles of long non-coding RNAs and circular RNAs in regulating autophagy.

conclusionThis bibliometric analysis provides a comprehensive overview of global research on autophagy in gastric cancer, highlighting key contributors, institutions, and journals. Emerging research areas encompass the role of autophagy in drug sensitivity, the inhibition of epithelial-mesenchymal transition, and the formulation of anti-tumor therapeutic strategies.

Indexed as

AutophagyBibliometricsDrug resistanceEpithelial–mesenchymal transitionGastric cancer

Identifiers

PMID40859059
PMCPMC12381316

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.