ArticleDiscover oncology2025
Bibliometric-driven research on chemoresistance in breast cancer: knowledge mapping, hotspot evolution, and emerging insights (1994-2024).
Article in Discover oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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.
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.
Who cites it
2 citing papers in PubMed.
- Modulation of breast cancer progression in high-altitude hypoxia by Tongqiaohuoxue Decoction via HIF-1α/VEGF signaling.Discover oncology · 2026Article
- Bibliometric analysis of the top 100 most-cited articles on tissue expander use in breast reconstruction: insights from CiteSpace, VOSviewer, and Bibliometrix.Gland surgery · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundChemoresistance remains a pivotal challenge in the clinical management of breast cancer. A systematic dissection of global research trends, evolutionary hotspots, and emerging frontiers in this field is imperative for advancing therapeutic strategies.
methodsRelevant literature on breast cancer chemoresistance from 1994 to 2024 was retrieved from the Science Citation Index-Expanded (SCI-E) database of the Web of Science Core Collection (WoSCC). Bibliometric analysis was conducted using Co-Occurrence (COOC 14.5), CiteSpace (6.1.R6), and R software (v4.2.3; packages: bibliometrix, ggplot2, and tidyverse).
resultsA total of 1,929 publications involving 75 countries/regions, 2,355 institutions, and 12,046 authors were analyzed. The journal Cancers published the highest number of articles (87). China contributed the largest share (803 articles), with Nanjing Medical University (53 articles) and researchers Ma Xin and Wang Yan (11 articles each) identified as the most productive institution and authors, respectively. Keyword analysis indicated that "triple-negative breast cancer (TNBC)," "doxorubicin resistance," and "breast cancer stem cells" were long-standing core topics. In the context of the big-data era, bioinformatics-driven multi-omics analyses have become mainstream approaches for investigating chemoresistance mechanisms. Targeting ferroptosis-related pathways has emerged as a novel therapeutic strategy in this field. Burst detection revealed "prognostic biomarkers" and "liquid biopsy" as current research hotspots, while reference analysis further suggested "circular RNA" and "breast cancer stemness" as critical future research directions.
conclusionsThrough multidimensional bibliometric analyses, this study elucidates the developmental trajectory and potential breakthroughs in breast cancer chemoresistance research, offering a theoretical framework and translational insights for deeper exploration of resistance mechanisms and the design of precision therapeutic strategies.
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What Socratic holds
Registered trials
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 Socratic graph.