Zuxing Wang
Impact in
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
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- Stress Responses and Cortisol
Papers in
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- Functional Brain Connectivity Studies 7
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- COVID-19 and Mental Health 2
- Co-authors
- Zhili Zou (13 shared papers)Wenjiao Min (12 shared papers)Jun Xiao (12 shared papers)Yu Ye (3 shared papers)Wei Chen (1 shared paper)Yuan Zhang (1 shared paper)Jingjing Wang (1 shared paper)Cui Yuan (6 shared papers)
- Journals
- Journal of Affective Disorders (6 papers)BMC Psychiatry (3 papers)Translational Psychiatry (2 papers)Neuroscience & Biobehavioral Reviews (2 papers)Schizophrenia Research (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Zuxing Wang
25 papers receiving 248 citations
Peers
Comparison fields: 5 of 55
- Biological Psychiatry 50
- Behavioral Neuroscience 17
- Neurology 22
- Psychiatry and Mental health 32
- Cognitive Neuroscience 37
Countries citing papers authored by Zuxing Wang
This map shows the geographic impact of Zuxing 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 Zuxing Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zuxing Wang more than expected).
Fields of papers citing papers by Zuxing Wang
This network shows the impact of papers produced by Zuxing 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 Zuxing Wang. The network helps show where Zuxing Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Zuxing 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 63 | |
| 2 | 2023 | 33 | |
| 3 | Gray Matter Abnormalities in Patients with Chronic Primary Pain: A Coordinate-Based Meta-Analysis. | 2022 | 18 |
| 4 | 2022 | 15 | |
| 5 | 2023 | 15 | |
| 6 | 2021 | 13 | |
| 7 | 2024 | 11 | |
| 8 | 2021 | 10 | |
| 9 | 2022 | 9 | |
| 10 | 2020 | 9 | |
| 11 | 2023 | 9 | |
| 12 | 2022 | 8 | |
| 13 | 2022 | 8 | |
| 14 | 2025 | 5 | |
| 15 | 2024 | 4 | |
| 16 | 2024 | 4 | |
| 17 | 2023 | 4 | |
| 18 | 2012 | 2 | |
| 19 | 2022 | 2 | |
| 20 | 2025 | 1 |
About Zuxing Wang
Zuxing Wang is a scholar working on Cognitive Neuroscience, Clinical Psychology, Pharmacology, Cardiology and Cardiovascular Medicine and Physiology, having authored 31 papers that have together received 248 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (7 papers), Treatment of Major Depression (3 papers), Heart Rate Variability and Autonomic Control (3 papers), Genetics and Neurodevelopmental Disorders (2 papers), Obstructive Sleep Apnea Research (2 papers), COVID-19 and Mental Health (2 papers), Transcranial Magnetic Stimulation Studies (2 papers) and Mental Health Research Topics (2 papers). The work is most often cited by research in Biological Psychiatry (50 citations), Behavioral Neuroscience (17 citations), Neurology (22 citations), Psychiatry and Mental health (32 citations) and Cognitive Neuroscience (37 citations). Zuxing Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Zhili Zou, Wenjiao Min, Jun Xiao, Yu Ye, Wei Chen, Yuan Zhang, Jingjing Wang, Cui Yuan, Yikai Dou and Zhengyu Li. Their work appears in journals such as Journal of Affective Disorders, BMC Psychiatry, Translational Psychiatry, Neuroscience & Biobehavioral Reviews and Schizophrenia Research.
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.