Evidence map›Paper›PMID 42583391›Full record

ArticleJournal of thoracic disease2026

A bibliometric analysis of research trends and hotspots regarding macrophage polarization in lung cancer.

Hongyu Zhu, Gang Liu, Hui Wang, Mengyao Shi, Feng Liu

Abstract read
In one paragraph

Article in Journal of thoracic disease, 2026. 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

5 authors.

Hongyu Zhu *School of Traditional Chinese Medicine, Anhui University of Chinese Medicine, Hefei, China.ORCID https://orcid.org/0009-0001-4947-1538
Gang Liu *School of Traditional Chinese Medicine, Anhui University of Chinese Medicine, Hefei, China.
Hui WangSchool of Traditional Chinese Medicine, Anhui University of Chinese Medicine, Hefei, China.
Mengyao ShiSchool of Traditional Chinese Medicine, Anhui University of Chinese Medicine, Hefei, China.
Feng LiuSchool of Traditional Chinese Medicine, Anhui University of Chinese Medicine, Hefei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Macrophage polarization, which affects the lung cancer tumor microenvironment and treatment response through M1/M2 phenotypic transformation, has become a key research area. However, there is a lack of systematic bibliometric analysis. Therefore, this study employed bibliometric methods to comprehensively review the research trends and hotspots in this field. Methods: A comprehensive search was conducted using the Web of Science Core Collection (WoSCC) and Scopus databases for English-language literature published between January 1, 2010, and August 1, 2025. A multidimensional visual analysis of nations, institutions, authors, journals, references, and keywords was performed on the 508 included articles utilizing bibliometric tools VOSviewer, CiteSpace, and Bibliometrix. Results: The number of publications in this field shows an upward trend. From 2010 to 2016, it was in the initial growth stage; from 2017 to 2021, it entered a period of steady growth. After 2022, research activities increased significantly and reached a peak in 2025 (n=131). Conclusions: The research in this field has advanced from phenotypic description to mechanism integration and translational research, with nano-intervention and immune regulation being the cutting-edge directions. In the future, attention should be focused on the clinical translation pathways of personalized regulation strategies.

Indexed as

bibliometricsCiteSpaceLung cancermacrophage polarizationVOSviewer

Identifiers

PMID42583391
PMCPMC13460166

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.