Chunfa Chen

1.1k total citations
33 papers, 800 citations indexed

About

Chunfa Chen is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Chunfa Chen has authored 33 papers receiving a total of 800 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 16 papers in Cancer Research and 14 papers in Oncology. Recurrent topics in Chunfa Chen's work include Cancer Cells and Metastasis (9 papers), MicroRNA in disease regulation (5 papers) and Breast Cancer Treatment Studies (5 papers). Chunfa Chen is often cited by papers focused on Cancer Cells and Metastasis (9 papers), MicroRNA in disease regulation (5 papers) and Breast Cancer Treatment Studies (5 papers). Chunfa Chen collaborates with scholars based in China, Netherlands and United States. Chunfa Chen's co-authors include Haoyu Lin, De Zeng, Xiaolong Wei, Yuanke Liang, Guo‐Jun Zhang, Jing‐Wen Bai, Wen-Jia Chen, Min Chen, Shuming Sun and Xiaofeng Lu and has published in prestigious journals such as PLoS ONE, Scientific Reports and Acta Biomaterialia.

In The Last Decade

Chunfa Chen

31 papers receiving 791 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chunfa Chen China 16 571 400 194 108 66 33 800
Jiehua He China 13 488 0.9× 430 1.1× 211 1.1× 117 1.1× 70 1.1× 30 776
Chenkai Ma Australia 12 518 0.9× 319 0.8× 144 0.7× 106 1.0× 40 0.6× 27 754
Hyung Seok Kim South Korea 17 701 1.2× 395 1.0× 145 0.7× 152 1.4× 62 0.9× 29 900
Zaletaev Dv Russia 12 435 0.8× 201 0.5× 154 0.8× 79 0.7× 53 0.8× 93 674
Hanshao Liu Japan 9 617 1.1× 380 0.9× 190 1.0× 52 0.5× 34 0.5× 13 777
Jingyan Xue China 13 505 0.9× 437 1.1× 131 0.7× 60 0.6× 70 1.1× 34 739
Daojiang Li China 16 636 1.1× 429 1.1× 91 0.5× 58 0.5× 54 0.8× 34 751
Changwen Jing China 15 301 0.5× 275 0.7× 154 0.8× 143 1.3× 44 0.7× 32 582

Countries citing papers authored by Chunfa Chen

Since Specialization
Citations

This map shows the geographic impact of Chunfa Chen's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Chunfa Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chunfa Chen more than expected).

Fields of papers citing papers by Chunfa Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chunfa Chen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Chunfa Chen. The network helps show where Chunfa Chen may publish in the future.

Co-authorship network of co-authors of Chunfa Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Chunfa Chen. A scholar is included among the top collaborators of Chunfa Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chunfa Chen. Chunfa Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Chen, Chunfa, Quan Li, Qian Liu, et al.. (2025). Dual delivery of agmatine and microRNA-126b using agmatine-mediated DNA nanotube assemblies for acute lung injury therapy. Acta Biomaterialia. 199. 456–469. 3 indexed citations
2.
Bai, J. Z., Yiwu Wang, Chunfa Chen, et al.. (2024). Polyethyleneimine-mediated assembly of DNA nanotubes for KRAS siRNA delivery in lung adenocarcinoma therapy. Journal of Materials Chemistry B. 12(26). 6442–6451. 3 indexed citations
3.
Chen, Chunfa, et al.. (2023). Identification and comprehensive analysis of epithelial–mesenchymal transition related target genes of miR-222-3p in breast cancer. Frontiers in Oncology. 13. 1189635–1189635. 2 indexed citations
4.
Liu, Qian, Jing Xu, Chunfa Chen, et al.. (2023). Intratracheal administration of programmable DNA nanostructures combats acute lung injury by targeting microRNA-155. International Journal of Pharmaceutics. 651. 123750–123750. 4 indexed citations
5.
6.
Chen, Chunfa, et al.. (2022). Overexpressed VDAC1 in breast cancer as a novel prognostic biomarker and correlates with immune infiltrates. World Journal of Surgical Oncology. 20(1). 211–211. 23 indexed citations
7.
Zhang, Yong‐Qu, Yuanke Liang, Yang Wu, et al.. (2021). Notch3 inhibits cell proliferation and tumorigenesis and predicts better prognosis in breast cancer through transactivating PTEN. Cell Death and Disease. 12(6). 502–502. 34 indexed citations
8.
9.
Zeng, De, Haoyu Lin, Yuling Zhang, et al.. (2020). A negative binomial regression model for risk estimation of 0–2 axillary lymph node metastases in breast cancer patients. Scientific Reports. 10(1). 21856–21856. 3 indexed citations
10.
Xiao, Yingsheng, et al.. (2020). O-6-methylguanine DNA methyltransferase is a favorable biomarker with proliferation suppressive potential in Breast Cancer. Journal of Cancer. 11(21). 6326–6336. 4 indexed citations
11.
Zeng, De, Chunfa Chen, Shuming Sun, et al.. (2019). <p><em>Long noncoding RNA H19</em> is a critical oncogenic driver and contributes to epithelial-mesenchymal transition in papillary thyroid carcinoma</p>. Cancer Management and Research. Volume 11. 2059–2072. 26 indexed citations
12.
Xu, Jianzhen, Changchun Shao, Xiaojia Wang, et al.. (2019). circTADA2As suppress breast cancer progression and metastasis via targeting miR-203a-3p/SOCS3 axis. Cell Death and Disease. 10(3). 175–175. 205 indexed citations
13.
Chen, Chunfa, Yuling Zhang, Shuming Sun, et al.. (2019). Predictive Value of Preoperative Multidetector-Row Computed Tomography for Axillary Lymph Nodes Metastasis in Patients With Breast Cancer. Frontiers in Oncology. 8. 666–666. 23 indexed citations
14.
Chen, Chunfa, Yuling Zhang, Ziyi Huang, et al.. (2019). Decrease in the Ki67 index during neoadjuvant chemotherapy predicts favorable relapse-free survival in patients with locally advanced breast cancer. Cancer Biology and Medicine. 16(3). 575–586. 17 indexed citations
15.
Lin, Haoyu, Yuanke Liang, Xiaowei Dou, et al.. (2018). Notch3 inhibits epithelial–mesenchymal transition in breast cancer via a novel mechanism, upregulation of GATA-3 expression. Oncogenesis. 7(8). 59–59. 35 indexed citations
16.
Liang, Yuanke, Haoyu Lin, Xiaowei Dou, et al.. (2018). MiR-221/222 promote epithelial-mesenchymal transition by targeting Notch3 in breast cancer cell lines. npj Breast Cancer. 4(1). 20–20. 58 indexed citations
17.
Dou, Xiaowei, Yuanke Liang, Haoyu Lin, et al.. (2017). Notch3 Maintains Luminal Phenotype and Suppresses Tumorigenesis and Metastasis of Breast Cancer via Trans-Activating Estrogen Receptor-α. Theranostics. 7(16). 4041–4056. 50 indexed citations
18.
Lin, Haoyu, et al.. (2017). CCR10 activation stimulates the invasion and migration of breast cancer cells through the ERK1/2/MMP-7 signaling pathway. International Immunopharmacology. 51. 124–130. 31 indexed citations
19.
Wei, Xiaolong, et al.. (2014). A case of primary neuroendocrine breast carcinoma that responded to neo-adjuvant chemotherapy. Frontiers of Medicine. 9(1). 112–116. 16 indexed citations
20.
Liu, Jing, Xiaolong Wei, Wen-Jia Chen, et al.. (2012). Cytoplasmic Skp2 Expression Is Associated with p-Akt1 and Predicts Poor Prognosis in Human Breast Carcinomas. PLoS ONE. 7(12). e52675–e52675. 47 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Jiehua He Breakdown of academic impact, for papers by Chenkai Ma Breakdown of academic impact, for papers by Hyung Seok Kim Breakdown of academic impact, for papers by Zaletaev Dv Breakdown of academic impact, for papers by Hanshao Liu Breakdown of academic impact, for papers by Jingyan Xue Breakdown of academic impact, for papers by Daojiang Li Breakdown of academic impact, for papers by Changwen Jing
Rankless by CCL
2026