Fei Chen

7.3k total citations · 3 hit papers
93 papers, 4.9k citations indexed

About

Fei Chen is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Fei Chen has authored 93 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Molecular Biology, 50 papers in Oncology and 19 papers in Cancer Research. Recurrent topics in Fei Chen's work include Cancer Cells and Metastasis (11 papers), Pancreatic and Hepatic Oncology Research (10 papers) and RNA modifications and cancer (10 papers). Fei Chen is often cited by papers focused on Cancer Cells and Metastasis (11 papers), Pancreatic and Hepatic Oncology Research (10 papers) and RNA modifications and cancer (10 papers). Fei Chen collaborates with scholars based in China, United States and Saudi Arabia. Fei Chen's co-authors include Zhen Dong, Hongjuan Cui, Jiayi Zhang, Pengfei Shi, Guanghui Zhang, Gaichao Zhao, Wen Peng, Jie Xu, Xiaowen Wang and Liqun Yang and has published in prestigious journals such as Cell, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Fei Chen

88 papers receiving 4.8k citations

Hit Papers

Targeting cancer stem cell pathways for can... 2014 2026 2018 2022 2020 2018 2014 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fei Chen China 27 2.7k 2.1k 1.4k 1.0k 519 93 4.9k
Shi‐Cang Yu China 34 2.6k 1.0× 2.1k 1.0× 1.6k 1.2× 1.1k 1.0× 540 1.0× 77 5.4k
Dingcheng Gao United States 26 2.8k 1.1× 2.5k 1.2× 1.8k 1.3× 936 0.9× 853 1.6× 36 5.1k
Anna Dubrovska Germany 37 2.8k 1.0× 2.4k 1.1× 1.4k 1.1× 568 0.6× 839 1.6× 94 5.0k
Moorthy P. Ponnusamy United States 43 3.4k 1.3× 2.3k 1.1× 1.0k 0.7× 998 1.0× 632 1.2× 113 5.4k
Wei‐Zhong Wu China 41 3.5k 1.3× 2.1k 1.0× 1.9k 1.4× 1.0k 1.0× 470 0.9× 107 5.7k
Aarthi Gopinathan United Kingdom 13 2.5k 0.9× 2.5k 1.2× 1.2k 0.9× 845 0.8× 390 0.8× 20 4.7k
Ivano Amelio Italy 33 2.9k 1.1× 1.4k 0.7× 1.8k 1.3× 505 0.5× 437 0.8× 84 4.7k
Lido Calorini Italy 37 2.1k 0.8× 1.3k 0.6× 1.2k 0.9× 656 0.6× 316 0.6× 106 3.9k
Xiaoxiang Guan China 38 2.5k 0.9× 2.0k 0.9× 1.6k 1.2× 508 0.5× 910 1.8× 173 4.7k
Roger R. Gomis Spain 30 3.4k 1.3× 2.5k 1.2× 1.6k 1.2× 544 0.5× 889 1.7× 67 6.0k

Countries citing papers authored by Fei Chen

Since Specialization
Citations

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

Fields of papers citing papers by Fei Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fei Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Fei Chen. A scholar is included among the top collaborators of Fei 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 Fei Chen. Fei 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.
Wang, Zhenyu, Yuan Shen, Xianxian Zhang, et al.. (2025). Prognostic value of multi-PLD ASL radiomics in acute ischemic stroke. Frontiers in Neurology. 15. 1544578–1544578. 2 indexed citations
2.
Wang, Zhenyu, Xianxian Zhang, Qingqing Li, et al.. (2025). Machine learning-based prognostic prediction for acute ischemic stroke using whole-brain and infarct multi-PLD ASL radiomics. BMC Medical Imaging. 25(1). 267–267.
3.
Chen, Fei, Jianyi Li, Xiaofan Du, et al.. (2025). Targeting Irgm1 to combat osteoporosis: suppressing ROS and restoring bone remodeling. Cell Death and Disease. 16(1). 651–651. 2 indexed citations
4.
Li, Qingqing, Jing Yang, Shu Wang, et al.. (2024). Prognostic value of multi-PLD ASL-based cerebral perfusion ASPECTS in acute ischemic stroke. Frontiers in Neurology. 15. 1476937–1476937. 1 indexed citations
5.
Jiang, Lai, Kan Wang, Fei Chen, et al.. (2024). Hierarchical joint analysis of marginal summary statisticsPart I: Multipopulation fine mapping and credible set construction. Genetic Epidemiology. 48(6). 241–257.
6.
Chen, Fei, Sungshim L. Park, Lynne R. Wilkens, et al.. (2022). Genetic Risk of Second Primary Cancer in Breast Cancer Survivors: The Multiethnic Cohort Study. Cancer Research. 82(18). 3201–3208. 9 indexed citations
7.
Chen, Fei, Peggy Wan, Lynne R. Wilkens, Loı̈c Le Marchand, & Christopher A. Haiman. (2022). The Association of Prediagnostic Statin Use with Aggressive Prostate Cancer from the Multiethnic Cohort Study. Cancer Epidemiology Biomarkers & Prevention. 31(5). 999–1005. 1 indexed citations
9.
Yang, Liqun, Pengfei Shi, Gaichao Zhao, et al.. (2020). Targeting cancer stem cell pathways for cancer therapy. Signal Transduction and Targeted Therapy. 5(1). 8–8. 1349 indexed citations breakdown →
10.
Chen, Chao, et al.. (2019). Micheliolide inhibits gastric cancer growth in vitro and in vivo via blockade of the IL-6/STAT3 pathway.. PubMed. 74(3). 175–178. 24 indexed citations
11.
Chen, Fei, Eva P. Szymanski, Kenneth N. Olivier, et al.. (2017). Whole-Exome Sequencing Identifies the 6q12-q16 Linkage Region and a Candidate Gene, TTK , for Pulmonary Nontuberculous Mycobacterial Disease. American Journal of Respiratory and Critical Care Medicine. 196(12). 1599–1604. 23 indexed citations
13.
Guan, Youfei, et al.. (2012). JNK-Dependent Stat3 Phosphorylation Contributes to Akt Activation in Response to Arsenic Exposure. Toxicological Sciences. 129(2). 363–371. 53 indexed citations
14.
Wang, Lei, Fei Chen, Zhuo Zhang, et al.. (2012). Cancer Stem Cells in the Mechanism of Metal Carcinogenesis. Journal of Environmental Pathology Toxicology and Oncology. 31(3). 245–263. 7 indexed citations
15.
Beezhold, Kevin, Jia Liu, Hong Kan, et al.. (2011). miR-190-Mediated Downregulation of PHLPP Contributes to Arsenic-Induced Akt Activation and Carcinogenesis. Toxicological Sciences. 123(2). 411–420. 88 indexed citations
16.
Wang, Kesheng, Gang Chen, Hailian Shen, et al.. (2011). Insulin Receptor Tyrosine Kinase Substrate Enhances Low Levels of MDM2-Mediated p53 Ubiquitination. PLoS ONE. 6(8). e23571–e23571. 18 indexed citations
17.
Zhang, Xin, Kesheng Wang, Tingting Li, et al.. (2010). Abstract 1008: IRTKS suppresses p53 activity through promoting MDM2 mediated p53 monoubiquitination. Cancer Research. 70(8_Supplement). 1008–1008. 1 indexed citations
18.
Zhang, Xin, Kesheng Wang, Zhiqin Wang, et al.. (2005). Nuclear localization signal of ING4 plays a key role in its binding to p53. Biochemical and Biophysical Research Communications. 331(4). 1032–1038. 62 indexed citations
19.
Wickrema, Amittha, Fei Chen, Sarfraz Ahmad, et al.. (1999). Defective expression of the SHP-1 phosphatase in polycythemia vera. Experimental Hematology. 27(7). 1124–1132. 39 indexed citations
20.
Wickrema, Amittha, Shahab Uddin, Arun K. Sharma, et al.. (1999). Engagement of Gab1 and Gab2 in Erythropoietin Signaling. Journal of Biological Chemistry. 274(35). 24469–24474. 89 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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