Fen Wang
Impact in
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- Cancer, Hypoxia, and Metabolism
Papers in
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- Fibroblast Growth Factor Research 5
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- Prostate Cancer Treatment and Research 2
- Co-authors
- Tong Chen (2 shared papers)Yan Yuan (2 shared papers)Xin Dai (1 shared paper)Zhengxu Sun (1 shared paper)Shu Wang (1 shared paper)Kunpeng Wu (1 shared paper)Qiwang Lin (1 shared paper)Hua Jiang (1 shared paper)
- Journals
- Journal of Biological Chemistry (4 papers)International Journal of Machine Learning and Cybernetics (1 paper)Journal of the American Society for Mass Spectrometry (1 paper)Acta Pharmaceutica Sinica B (1 paper)Scientific Reports (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Fen Wang
34 papers receiving 797 citations
Peers
Comparison fields: 5 of 113
- Biological Psychiatry 24
- Cancer Research 109
- Immunology 133
- Molecular Biology 392
- Pharmacology 36
Countries citing papers authored by Fen Wang
This map shows the geographic impact of Fen Wang'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 Fen Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fen Wang more than expected).
Fields of papers citing papers by Fen Wang
This network shows the impact of papers produced by Fen Wang. 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 Fen Wang. The network helps show where Fen Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Fen Wang, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 239 | |
| 2 | 2018 | 88 | |
| 3 | 2022 | 40 | |
| 4 | 2018 | 37 | |
| 5 | 2018 | 29 | |
| 6 | 2018 | 26 | |
| 7 | 2019 | 25 | |
| 8 | 2015 | 22 | |
| 9 | 2020 | 22 | |
| 10 | 2017 | 22 | |
| 11 | 2015 | 21 | |
| 12 | 2018 | 21 | |
| 13 | 2019 | 20 | |
| 14 | 2012 | 20 | |
| 15 | 2017 | 19 | |
| 16 | 2020 | 17 | |
| 17 | 2022 | 15 | |
| 18 | 2015 | 15 | |
| 19 | 2018 | 12 | |
| 20 | 2023 | 11 |
About Fen Wang
Fen Wang is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Physiology, Immunology and Neurology, having authored 39 papers that have together received 805 indexed citations. Recurring topics across this work include Immune Response and Inflammation (5 papers), Fibroblast Growth Factor Research (5 papers), Cancer, Hypoxia, and Metabolism (3 papers), Alzheimer's disease research and treatments (2 papers), Tissue Engineering and Regenerative Medicine (2 papers), Prostate Cancer Treatment and Research (2 papers), Vascular Malformations Diagnosis and Treatment (2 papers) and Immune cells in cancer (2 papers). The work is most often cited by research in Biological Psychiatry (24 citations), Cancer Research (109 citations), Immunology (133 citations), Molecular Biology (392 citations) and Pharmacology (36 citations). Fen Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Tong Chen, Yan Yuan, Xin Dai, Zhengxu Sun, Shu Wang, Kunpeng Wu, Qiwang Lin, Hua Jiang, Fei He and Huihui Yu. Their work appears in journals such as Journal of Biological Chemistry, International Journal of Machine Learning and Cybernetics, Journal of the American Society for Mass Spectrometry, Acta Pharmaceutica Sinica B and Scientific Reports.
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.