Mingwei Wang
Impact in
- Neurology top 2%
- Transcranial Magnetic Stimulation Studies
- Neuroinflammation and Neurodegeneration Mechanisms
- Neurological Disease Mechanisms and Treatments
- Biological Psychiatry top 10%
Papers in
- Neurology 18
- Transcranial Magnetic Stimulation Studies 9
- Neuroinflammation and Neurodegeneration Mechanisms 7
- Neurological Disease Mechanisms and Treatments 4
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- Functional Brain Connectivity Studies 4
- EEG and Brain-Computer Interfaces 2
- Co-authors
- Yanyong Wang (6 shared papers)Dandan Geng (2 shared papers)Lin Kang (2 shared papers)Jun Ma (2 shared papers)Bing Han (7 shared papers)Yuan Geng (5 shared papers)Lin Wang (2 shared papers)Huixian Cui (1 shared paper)
In The Last Decade
Mingwei Wang
23 papers receiving 675 citations
Peers
Comparison fields: 5 of 98
- Neurology 338
- Biological Psychiatry 44
- Developmental Neuroscience 60
- Cognitive Neuroscience 163
- Cellular and Molecular Neuroscience 135
Countries citing papers authored by Mingwei Wang
This map shows the geographic impact of Mingwei 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 Mingwei Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingwei Wang more than expected).
Fields of papers citing papers by Mingwei Wang
This network shows the impact of papers produced by Mingwei 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 Mingwei Wang. The network helps show where Mingwei Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingwei 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 97 | |
| 2 | 2019 | 84 | |
| 3 | 2014 | 78 | |
| 4 | 2017 | 54 | |
| 5 | 2020 | 41 | |
| 6 | 2023 | 41 | |
| 7 | 2019 | 37 | |
| 8 | 2017 | 27 | |
| 9 | 2018 | 26 | |
| 10 | 2015 | 22 | |
| 11 | 2017 | 21 | |
| 12 | 2017 | 21 | |
| 13 | 2012 | 20 | |
| 14 | 2020 | 18 | |
| 15 | 2014 | 16 | |
| 16 | 2013 | 16 | |
| 17 | 2022 | 16 | |
| 18 | 2017 | 14 | |
| 19 | 2010 | 13 | |
| 20 | 2024 | 7 |
About Mingwei Wang
Mingwei Wang is a scholar working on Neurology, Cognitive Neuroscience, Cellular and Molecular Neuroscience, Psychiatry and Mental health and Biological Psychiatry, having authored 24 papers that have together received 680 indexed citations. Recurring topics across this work include Transcranial Magnetic Stimulation Studies (9 papers), Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Neuroscience and Neural Engineering (4 papers), Neurological Disease Mechanisms and Treatments (4 papers), Functional Brain Connectivity Studies (4 papers), Tryptophan and brain disorders (3 papers), Nerve injury and regeneration (2 papers) and EEG and Brain-Computer Interfaces (2 papers). The work is most often cited by research in Neurology (338 citations), Biological Psychiatry (44 citations), Developmental Neuroscience (60 citations), Cognitive Neuroscience (163 citations) and Cellular and Molecular Neuroscience (135 citations). Mingwei Wang has collaborated with scholars based in China, Australia and Macao. Frequent co-authors include Yanyong Wang, Dandan Geng, Lin Kang, Jun Ma, Bing Han, Yuan Geng, Lin Wang, Huixian Cui, Huixian Cui and Yuhong Su. Their work appears in journals such as Frontiers in Aging Neuroscience, Cellular Physiology and Biochemistry, PLoS ONE, International Journal of Machine Learning and Cybernetics and Cell Death and Disease.
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.