Feihu Chen
Impact in
- Biological Psychiatry top 5%
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
Papers in ⓘ
-
- Cancer-related molecular mechanisms research 12
- Co-authors
- Jin‐Fang Ge (27 shared papers)Renpeng Zhou (21 shared papers)Yayun Xu (23 shared papers)Wei Hu (15 shared papers)Xiaoshan Wu (10 shared papers)Feng‐Lai Yuan (10 shared papers)Yubin Feng (16 shared papers)Xiaoqing Peng (24 shared papers)
- Journals
- European Journal of Pharmacology (4 papers)Laboratory Investigation (4 papers)Molecular and Cellular Biochemistry (4 papers)Inflammation Research (4 papers)Journal of Translational Medicine (4 papers)
- Partner nations
- ChinaUnited StatesSaint Kitts and Nevis
In The Last Decade
Feihu Chen
143 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 150
- Biological Psychiatry 94
- Cancer Research 541
- Behavioral Neuroscience 102
- Molecular Biology 1.6k
- Endocrine and Autonomic Systems 149
Countries citing papers authored by Feihu Chen
This map shows the geographic impact of Feihu 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 Feihu Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feihu Chen more than expected).
Fields of papers citing papers by Feihu Chen
This network shows the impact of papers produced by Feihu 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 Feihu Chen. The network helps show where Feihu Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Feihu Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 152 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 104 | |
| 2 | 2018 | 91 | |
| 3 | 2008 | 90 | |
| 4 | 2016 | 80 | |
| 5 | 2018 | 79 | |
| 6 | 2022 | 77 | |
| 7 | 2012 | 75 | |
| 8 | 2014 | 70 | |
| 9 | 2010 | 63 | |
| 10 | 2015 | 62 | |
| 11 | 2011 | 59 | |
| 12 | 2010 | 56 | |
| 13 | 2013 | 53 | |
| 14 | 2012 | 53 | |
| 15 | 2019 | 53 | |
| 16 | 2020 | 48 | |
| 17 | 2016 | 48 | |
| 18 | 2017 | 47 | |
| 19 | 2015 | 47 | |
| 20 | 2013 | 46 |
About Feihu Chen
Feihu Chen is a scholar working on Cancer Research, Behavioral Neuroscience, Hematology, Molecular Biology and Endocrine and Autonomic Systems, having authored 152 papers that have together received 3.2k indexed citations. Recurring topics across this work include Retinoids in leukemia and cellular processes (25 papers), Ion Transport and Channel Regulation (25 papers), Sphingolipid Metabolism and Signaling (14 papers), Ion channel regulation and function (13 papers), Cancer-related molecular mechanisms research (12 papers), Acute Myeloid Leukemia Research (9 papers), Protein Degradation and Inhibitors (8 papers) and Ubiquitin and proteasome pathways (8 papers). The work is most often cited by research in Biological Psychiatry (94 citations), Cancer Research (541 citations), Behavioral Neuroscience (102 citations), Molecular Biology (1.6k citations) and Endocrine and Autonomic Systems (149 citations). Feihu Chen has collaborated with scholars based in China, United States and Saint Kitts and Nevis. Frequent co-authors include Jin‐Fang Ge, Renpeng Zhou, Yayun Xu, Wei Hu, Xiaoshan Wu, Feng‐Lai Yuan, Yubin Feng, Xiaoqing Peng, Fan‐Rong Wu and Weiguo Lü. Their work appears in journals such as European Journal of Pharmacology, Laboratory Investigation, Molecular and Cellular Biochemistry, Inflammation Research and Journal of Translational Medicine.
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.