Fangquan Chen

806 total citations · 1 hit paper
23 papers, 517 citations indexed

About

Fangquan Chen is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Fangquan Chen has authored 23 papers receiving a total of 517 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 10 papers in Pulmonary and Respiratory Medicine and 6 papers in Cancer Research. Recurrent topics in Fangquan Chen's work include Ferroptosis and cancer prognosis (10 papers), Cancer, Lipids, and Metabolism (6 papers) and RNA modifications and cancer (5 papers). Fangquan Chen is often cited by papers focused on Ferroptosis and cancer prognosis (10 papers), Cancer, Lipids, and Metabolism (6 papers) and RNA modifications and cancer (5 papers). Fangquan Chen collaborates with scholars based in China, United States and Japan. Fangquan Chen's co-authors include Daolin Tang, Rui Kang, Jiao Liu, Jiao Liu, Jiao Liu, Jiao Liu, Hu Tang, Junhao Lin, Jiao Liu and Shan Zhu and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Scientific Reports.

In The Last Decade

Fangquan Chen

21 papers receiving 514 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Ferroptosis: principles and significance in health and disease

2024 106 citations Fangquan Chen, Rui Kang et al. Journal of Hematology & Oncology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fangquan Chen China	12	281	191	164	75	67	23	517
Zarina Brune United States	4	273 1.0×	169 0.9×	135 0.8×	117 1.6×	39 0.6×	9	509
A. Andrea Gudiel United States	6	285 1.0×	129 0.7×	138 0.8×	159 2.1×	51 0.8×	6	532
Manar Atyah China	13	287 1.0×	117 0.6×	204 1.2×	135 1.8×	42 0.6×	27	543
Qiangan Jing China	8	319 1.1×	308 1.6×	241 1.5×	128 1.7×	42 0.6×	13	586
Xiuling Li China	14	228 0.8×	82 0.4×	145 0.9×	108 1.4×	55 0.8×	29	468
Yufan Zheng China	13	312 1.1×	101 0.5×	133 0.8×	77 1.0×	80 1.2×	24	518
Nian Dong China	14	308 1.1×	139 0.7×	92 0.6×	113 1.5×	37 0.6×	32	543
Guoxin Hou China	12	387 1.4×	119 0.6×	206 1.3×	136 1.8×	23 0.3×	33	578
E Du China	16	279 1.0×	105 0.5×	117 0.7×	55 0.7×	29 0.4×	33	531

Countries citing papers authored by Fangquan Chen

Since Specialization

Citations

This map shows the geographic impact of Fangquan 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 Fangquan Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fangquan Chen more than expected).

Fields of papers citing papers by Fangquan Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fangquan 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 Fangquan Chen. The network helps show where Fangquan Chen may publish in the future.

Co-authorship network of co-authors of Fangquan Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Fangquan Chen. A scholar is included among the top collaborators of Fangquan 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 Fangquan Chen. Fangquan Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

1.

Liu, Yuanda, Chang Liu, Fangquan Chen, et al.. (2025). AGER-dependent macropinocytosis drives resistance to KRAS-G12D–targeted therapy in advanced pancreatic cancer. Science Translational Medicine. 17(783). eadp4986–eadp4986. 13 indexed citations

2.

Chen, Fangquan, Rosa C. M. Y. Liang, Jieting Zhang, et al.. (2025). CYP51A1 in health and disease: from sterol metabolism to regulated cell death. Cell Death Discovery. 11(1). 322–322. 2 indexed citations

3.

Chen, Fangquan, et al.. (2025). CYP51A1 drives resistance to pH-dependent cell death in pancreatic cancer. Nature Communications. 16(1). 2278–2278. 8 indexed citations

4.

Tang, Hu, Fangquan Chen, Limin Xiang, et al.. (2025). Ciprofloxacin enhances RSL3-induced ferroptosis by promoting mitochondrial Zn2+ accumulation via the STING1–CAV2 pathway. Journal of Biological Chemistry. 301(10). 110653–110653.

5.

Lin, Junhao, Fangquan Chen, Hu Tang, et al.. (2025). CDC26 facilitates ferroptosis through SLC7A11 degradation and cell cycle arrest. Clinical and Experimental Medicine. 26(1). 11–11.

6.

Chen, Fangquan, et al.. (2024). DAMPs in immunosenescence and cancer. Seminars in Cancer Biology. 106-107. 123–142. 24 indexed citations

7.

Chen, Fangquan, et al.. (2024). ITCH inhibits alkaliptosis in human pancreatic cancer cells through YAP1-dependent SLC16A1 activation. The International Journal of Biochemistry & Cell Biology. 175. 106646–106646. 1 indexed citations

8.

Chen, Fangquan, Hu Tang, Junhao Lin, et al.. (2024). Macropinocytosis inhibits alkaliptosis in pancreatic cancer cells through fatty acid uptake. Carcinogenesis. 45(12). 953–964. 6 indexed citations

9.

Chen, Fangquan, Rui Kang, Daolin Tang, & Jiao Liu. (2024). Ferroptosis: principles and significance in health and disease. Journal of Hematology & Oncology. 17(1). 41–41. 106 indexed citations breakdown →

10.

Chen, Fangquan, Junhao Lin, Rui Kang, Daolin Tang, & Jiao Liu. (2024). Alkaliptosis induction counteracts paclitaxel‐resistant ovarian cancer cells via ATP6V0D1‐mediated ABCB1 inhibition. Molecular Carcinogenesis. 63(8). 1515–1527. 8 indexed citations

11.

Chen, Fangquan, Hu Tang, Junhao Lin, et al.. (2024). Targeting paraptosis in cancer: opportunities and challenges. Cancer Gene Therapy. 31(3). 349–363. 17 indexed citations

12.

Chen, Fangquan, et al.. (2024). Ciprofloxacin is a novel anti-ferroptotic antibiotic. Heliyon. 10(11). e32571–e32571. 2 indexed citations

13.

Liu, Jiao, Hu Tang, Fangquan Chen, et al.. (2024). NFE2L2 and SLC25A39 drive cuproptosis resistance through GSH metabolism. Scientific Reports. 14(1). 29579–29579. 15 indexed citations

14.

Chen, Fangquan, et al.. (2023). Cholesterol Metabolism in Cancer and Cell Death. Antioxidants and Redox Signaling. 39(1-3). 102–140. 25 indexed citations

15.

Chen, Fangquan, Rui Kang, Jiao Liu, & Daolin Tang. (2023). The ACSL4 Network Regulates Cell Death and Autophagy in Diseases. Biology. 12(6). 864–864. 33 indexed citations

16.

Chen, Fangquan, et al.. (2023). Autophagy-Dependent Ferroptosis in Cancer. Antioxidants and Redox Signaling. 39(1-3). 79–101. 62 indexed citations

17.

Chen, Fangquan, Rui Kang, Jiao Liu, & Daolin Tang. (2023). Mechanisms of alkaliptosis. Frontiers in Cell and Developmental Biology. 11. 38 indexed citations

18.

Chen, Fangquan, Rui Kang, Daolin Tang, & Jiao Liu. (2023). Monitoring Lysosome Function in Ferroptosis. Methods in molecular biology. 2712. 91–102. 3 indexed citations

19.

Chen, Fangquan, Rui Kang, Jiao Liu, & Daolin Tang. (2022). The V-ATPases in cancer and cell death. Cancer Gene Therapy. 29(11). 1529–1541. 72 indexed citations

20.

Chen, Fangquan, Shan Zhu, Rui Kang, Daolin Tang, & Jiao Liu. (2022). ATP6V0D1 promotes alkaliptosis by blocking STAT3-mediated lysosomal pH homeostasis. Cell Reports. 42(1). 111911–111911. 41 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.

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