Fen Wang
Impact in
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
- Behavioral Neuroscience top 10%
- Stress Responses and Cortisol
Papers in
-
- Fibroblast Growth Factor Research 2
- Epigenetics and DNA Methylation 2
- Inflammasome and immune disorders 2
-
- Prostate Cancer Treatment and Research 2
- Co-authors
- Jonathan F. Head (2 shared papers)Robert L. Elliott (2 shared papers)Liantang Wang (2 shared papers)Zunfu Ke (2 shared papers)Yonghui Dang (1 shared paper)Jin Wu (1 shared paper)Xiancang Ma (1 shared paper)Chun‐Feng Liu (10 shared papers)
- Journals
- Annals of the New York Academy of Sciences (2 papers)Scientific Reports (2 papers)Journal of Ultrasound in Medicine (1 paper)Scandinavian Journal of Gastroenterology (1 paper)BioMed Research International (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Fen Wang
47 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 114
- Biological Psychiatry 43
- Behavioral Neuroscience 49
- Cancer Research 145
- Oncology 149
- Gastroenterology 28
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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 98 | |
| 2 | 2013 | 89 | |
| 3 | 1993 | 80 | |
| 4 | 2015 | 78 | |
| 5 | 1993 | 63 | |
| 6 | 2015 | 55 | |
| 7 | 2018 | 50 | |
| 8 | 2017 | 41 | |
| 9 | 2019 | 40 | |
| 10 | 2019 | 38 | |
| 11 | 2023 | 33 | |
| 12 | 2019 | 33 | |
| 13 | 2015 | 32 | |
| 14 | 2016 | 24 | |
| 15 | 2014 | 24 | |
| 16 | 2019 | 23 | |
| 17 | 2017 | 23 | |
| 18 | 2017 | 22 | |
| 19 | 2021 | 18 | |
| 20 | 2016 | 17 |
About Fen Wang
Fen Wang is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Epidemiology and Cancer Research, having authored 54 papers that have together received 1.0k indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (3 papers), Tuberculosis Research and Epidemiology (3 papers), Fibroblast Growth Factor Research (2 papers), Sleep and Wakefulness Research (2 papers), Prostate Cancer Treatment and Research (2 papers), Epigenetics and DNA Methylation (2 papers), Inflammasome and immune disorders (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Biological Psychiatry (43 citations), Behavioral Neuroscience (49 citations), Cancer Research (145 citations), Oncology (149 citations) and Gastroenterology (28 citations). Fen Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Jonathan F. Head, Robert L. Elliott, Liantang Wang, Zunfu Ke, Yonghui Dang, Jin Wu, Xiancang Ma, Chun‐Feng Liu, Chengge Gao and Wenhui Jiang. Their work appears in journals such as Annals of the New York Academy of Sciences, Scientific Reports, Journal of Ultrasound in Medicine, Scandinavian Journal of Gastroenterology and BioMed Research International.
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.