Feng Wang
Impact in
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- Acupuncture Treatment Research Studies
- Neurology top 2%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
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- Cancer-related gene regulation 7
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- Neuroscience and Neuropharmacology Research 12
- Neurotransmitter Receptor Influence on Behavior 7
- Co-authors
- Lize Xiong (18 shared papers)Dayi Hu (1 shared paper)Lili Han (1 shared paper)Liping Wang (11 shared papers)Xiao‐Liang Shen (1 shared paper)Zhenjiao Chen (1 shared paper)Yangjun Li (1 shared paper)Yongqiang Sun (1 shared paper)
- Journals
- Brain Research (7 papers)Neuroscience Bulletin (5 papers)Molecular Neurobiology (4 papers)Oncology Reports (4 papers)The Journal of Comparative Neurology (3 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Feng Wang
203 papers receiving 4.3k citations
Peers
Comparison fields: 5 of 171
- Complementary and alternative medicine 379
- Neurology 375
- Developmental Neuroscience 126
- Biological Psychiatry 57
- Pharmacology 369
Countries citing papers authored by Feng Wang
This map shows the geographic impact of Feng 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 Feng Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Wang more than expected).
Fields of papers citing papers by Feng Wang
This network shows the impact of papers produced by Feng 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 Feng Wang. The network helps show where Feng Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Feng 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 215 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 214 | |
| 2 | 2016 | 183 | |
| 3 | 2018 | 130 | |
| 4 | 2020 | 121 | |
| 5 | 2018 | 106 | |
| 6 | 2012 | 102 | |
| 7 | 1998 | 101 | |
| 8 | 2010 | 88 | |
| 9 | 2015 | 84 | |
| 10 | 2021 | 74 | |
| 11 | 2013 | 68 | |
| 12 | 2016 | 66 | |
| 13 | 2020 | 63 | |
| 14 | 2017 | 61 | |
| 15 | 2012 | 61 | |
| 16 | 2012 | 58 | |
| 17 | 2022 | 57 | |
| 18 | 2017 | 57 | |
| 19 | 2013 | 55 | |
| 20 | 2020 | 53 |
About Feng Wang
Feng Wang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Complementary and alternative medicine, Pathology and Forensic Medicine and Cognitive Neuroscience, having authored 215 papers that have together received 4.4k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (12 papers), Acupuncture Treatment Research Studies (10 papers), Neurotransmitter Receptor Influence on Behavior (7 papers), Cancer-related gene regulation (7 papers), Cannabis and Cannabinoid Research (6 papers), Cardiac Ischemia and Reperfusion (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers) and Acute Kidney Injury Research (5 papers). The work is most often cited by research in Complementary and alternative medicine (379 citations), Neurology (375 citations), Developmental Neuroscience (126 citations), Biological Psychiatry (57 citations) and Pharmacology (369 citations). Feng Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Lize Xiong, Dayi Hu, Lili Han, Liping Wang, Xiao‐Liang Shen, Zhenjiao Chen, Yangjun Li, Yongqiang Sun, Yang Cao and Michael S. Lidow. Their work appears in journals such as Brain Research, Neuroscience Bulletin, Molecular Neurobiology, Oncology Reports and The Journal of Comparative Neurology.
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.