Mapping the landscape of metabolic reprogramming research in lung cancer: a bibliometric and visualized analysis

This bibliometric analysis maps the research landscape of metabolic reprogramming in lung cancer, identifying influential contributors and emerging research themes. Future studies should explore advanced technologies like single-cell analysis and investigate how metabolic changes are regulated at the molecular level. A deeper understanding of these processes could lead to innovative treatment strategies and better patient outcomes.

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Publication Details

Journal
Discover Oncology
Published
2025-04-21
DOI
https://doi.org/10.1007/s12672-025-02327-3
Citations
1
Primary Topic
Cancer, Hypoxia, and Metabolism
Type
article
Field-Weighted Citation Impact
0.94
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article

Mapping the landscape of metabolic reprogramming research in lung cancer: a bibliometric and visualized analysis

Qingtong Shi, Feng Jiang, Jialu Li
1 citations
Discover Oncology
Cancer, Hypoxia, and Metabolism
0.94
article

Mapping the landscape of metabolic reprogramming research in lung cancer: a bibliometric and visualized analysis

Qingtong Shi, Feng Jiang, Jialu Li
article en
1 citations

Abstract

This bibliometric analysis maps the research landscape of metabolic reprogramming in lung cancer, identifying influential contributors and emerging research themes. Future studies should explore advanced technologies like single-cell analysis and investigate how metabolic changes are regulated at the molecular level. A deeper understanding of these processes could lead to innovative treatment strategies and better patient outcomes.

Discover OncologyVol. 16(1)
Suzhou Municipal Hospital (CN), Obstetrics and Gynecology Hospital of Fudan University (CN), Yangzhou University (CN)
Openalex Percentile: Top 26%
Cancer, Hypoxia, and Metabolism
0.94
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Mapping the landscape of metabolic reprogramming research in lung cancer: a bibliometric and visualized analysis — Qingtong Shi, Feng Jiang, et al. · Discover Oncology (2025) | TGRS Research Map | TGRS