Feng Chen
Impact in
- Hepatology top 5%
- Hepatitis C virus research
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- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
Papers in
-
- Renal cell carcinoma treatment 8
- Lung Cancer Diagnosis and Treatment 4
-
- Angiogenesis and VEGF in Cancer 6
- Renal and related cancers 4
- Co-authors
- Yicheng Ni (9 shared papers)Zhi Chen (10 shared papers)Haihong Zhu (10 shared papers)Jie Li (6 shared papers)Wenjie Liang (6 shared papers)Xing Xue (3 shared papers)Linpeng Yao (5 shared papers)Sanjay Jain (1 shared paper)
- Journals
- European Journal of Radiology (6 papers)European Radiology (5 papers)Frontiers in Oncology (5 papers)PLoS ONE (2 papers)Virology Journal (2 papers)
- Partner nations
- ChinaUnited StatesBelgium
In The Last Decade
Feng Chen
117 papers receiving 2.6k citations
Feng Chen's Hit Papers
Peers
Comparison fields: 5 of 150
- Hepatology 210
- Radiology, Nuclear Medicine and Imaging 430
- Biological Psychiatry 44
- Health Informatics 19
- Neurology 166
Countries citing papers authored by Feng Chen
This map shows the geographic impact of Feng 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 Feng Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Chen more than expected).
Fields of papers citing papers by Feng Chen
This network shows the impact of papers produced by Feng 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 Feng Chen. The network helps show where Feng Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Feng 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 129 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 132 | |
| 2 | Gut Microbiota: A Novel Therapeutic Target for Parkinson’s Disease Hit paper breakdown → | 2022 | 126 |
| 3 | 2018 | 123 | |
| 4 | 2011 | 108 | |
| 5 | 2020 | 102 | |
| 6 | 2018 | 96 | |
| 7 | 2016 | 92 | |
| 8 | 2009 | 78 | |
| 9 | 2015 | 74 | |
| 10 | 2012 | 74 | |
| 11 | 2020 | 72 | |
| 12 | 2011 | 69 | |
| 13 | 2010 | 68 | |
| 14 | 2020 | 67 | |
| 15 | 2018 | 63 | |
| 16 | 2020 | 54 | |
| 17 | 2021 | 52 | |
| 18 | 2014 | 48 | |
| 19 | 2016 | 45 | |
| 20 | 2006 | 40 |
About Feng Chen
Feng Chen is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Epidemiology and Hepatology, having authored 129 papers that have together received 2.6k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (9 papers), Renal cell carcinoma treatment (8 papers), Hepatocellular Carcinoma Treatment and Prognosis (7 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Angiogenesis and VEGF in Cancer (6 papers), MRI in cancer diagnosis (4 papers), Lung Cancer Diagnosis and Treatment (4 papers) and Renal and related cancers (4 papers). The work is most often cited by research in Hepatology (210 citations), Radiology, Nuclear Medicine and Imaging (430 citations), Biological Psychiatry (44 citations), Health Informatics (19 citations) and Neurology (166 citations). Feng Chen has collaborated with scholars based in China, United States and Belgium. Frequent co-authors include Yicheng Ni, Zhi Chen, Haihong Zhu, Jie Li, Wenjie Liang, Xing Xue, Linpeng Yao, Sanjay Jain, Min Zheng and Wei Wu. Their work appears in journals such as European Journal of Radiology, European Radiology, Frontiers in Oncology, PLoS ONE and Virology Journal.
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.