Che Wang
Impact in
- Biological Psychiatry top 2%
- Tryptophan and brain disorders
- Behavioral Neuroscience top 2%
- Stress Responses and Cortisol
Papers in
-
- Gout, Hyperuricemia, Uric Acid 4
-
- Tryptophan and brain disorders 4
- Co-authors
- Song Li (11 shared papers)Kinzo Matsumoto (2 shared papers)Minwei Wang (2 shared papers)Yi‐Yuan Tang (3 shared papers)Wei Li (2 shared papers)Yukihisa Murakami (1 shared paper)Peng Hou (3 shared papers)Wei Wang (2 shared papers)
- Journals
- Life Sciences (2 papers)Frontiers in Endocrinology (2 papers)Pharmacology Biochemistry and Behavior (2 papers)The Journal of Nutritional Biochemistry (2 papers)Biochemical and Biophysical Research Communications (1 paper)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Che Wang
27 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 106
- Biological Psychiatry 193
- Behavioral Neuroscience 265
- Pharmacology 237
- Developmental Neuroscience 79
- Complementary and alternative medicine 151
Countries citing papers authored by Che Wang
This map shows the geographic impact of Che 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 Che Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Che Wang more than expected).
Fields of papers citing papers by Che Wang
This network shows the impact of papers produced by Che 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 Che Wang. The network helps show where Che Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Che 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 281 | |
| 2 | 2007 | 236 | |
| 3 | 2008 | 139 | |
| 4 | 2007 | 106 | |
| 5 | 2019 | 80 | |
| 6 | 2019 | 40 | |
| 7 | 2020 | 37 | |
| 8 | 2008 | 26 | |
| 9 | 2009 | 24 | |
| 10 | 2010 | 18 | |
| 11 | 2013 | 17 | |
| 12 | 2020 | 15 | |
| 13 | 2015 | 13 | |
| 14 | 2011 | 12 | |
| 15 | 2020 | 10 | |
| 16 | 2023 | 8 | |
| 17 | 2019 | 8 | |
| 18 | 2022 | 7 | |
| 19 | 2022 | 5 | |
| 20 | 2024 | 4 |
About Che Wang
Che Wang is a scholar working on Nephrology, Biological Psychiatry, Epidemiology, Pharmacology and Physiology, having authored 28 papers that have together received 1.1k indexed citations. Recurring topics across this work include Gout, Hyperuricemia, Uric Acid (4 papers), Liver Disease Diagnosis and Treatment (4 papers), Piperaceae Chemical and Biological Studies (4 papers), Tryptophan and brain disorders (4 papers), Alzheimer's disease research and treatments (3 papers), Medicinal Plants and Neuroprotection (3 papers), Metal complexes synthesis and properties (3 papers) and Stress Responses and Cortisol (3 papers). The work is most often cited by research in Biological Psychiatry (193 citations), Behavioral Neuroscience (265 citations), Pharmacology (237 citations), Developmental Neuroscience (79 citations) and Complementary and alternative medicine (151 citations). Che Wang has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Song Li, Kinzo Matsumoto, Minwei Wang, Yi‐Yuan Tang, Wei Li, Yukihisa Murakami, Peng Hou, Wei Wang, Huiping Dong and Kazuo Koike. Their work appears in journals such as Life Sciences, Frontiers in Endocrinology, Pharmacology Biochemistry and Behavior, The Journal of Nutritional Biochemistry and Biochemical and Biophysical Research Communications.
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.