Mingwei Wang
Impact in
- Neurology top 2%
- Transcranial Magnetic Stimulation Studies
- Neuroinflammation and Neurodegeneration Mechanisms
- Neurological Disease Mechanisms and Treatments
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
Papers in
- Neurology 15
- Transcranial Magnetic Stimulation Studies 9
- Neuroinflammation and Neurodegeneration Mechanisms 4
- Neurological Disease Mechanisms and Treatments 3
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- Functional Brain Connectivity Studies 3
- EEG and Brain-Computer Interfaces 2
- Co-authors
- Yanyong Wang (6 shared papers)Jun Ma (2 shared papers)Dandan Geng (2 shared papers)Lin Kang (2 shared papers)Bing Han (7 shared papers)Yuan Geng (5 shared papers)Lin Wang (2 shared papers)Yuhong Su (1 shared paper)
In The Last Decade
Mingwei Wang
23 papers receiving 697 citations
Peers
Comparison fields: 5 of 91
- Neurology 310
- Biological Psychiatry 42
- Developmental Neuroscience 50
- Cognitive Neuroscience 123
- Cellular and Molecular Neuroscience 112
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 | 96 | |
| 2 | 2019 | 87 | |
| 3 | 2014 | 78 | |
| 4 | 2017 | 57 | |
| 5 | 2023 | 45 | |
| 6 | 2020 | 44 | |
| 7 | 2019 | 37 | |
| 8 | 2017 | 27 | |
| 9 | 2018 | 27 | |
| 10 | 2017 | 22 | |
| 11 | 2015 | 22 | |
| 12 | 2017 | 21 | |
| 13 | 2012 | 20 | |
| 14 | 2022 | 19 | |
| 15 | 2020 | 19 | |
| 16 | 2013 | 16 | |
| 17 | 2014 | 16 | |
| 18 | 2017 | 14 | |
| 19 | 2010 | 13 | |
| 20 | 2024 | 8 |
About Mingwei Wang
Mingwei Wang is a scholar working on Neurology, Cognitive Neuroscience, Cellular and Molecular Neuroscience, Developmental Neuroscience and Immunology, having authored 24 papers that have together received 702 indexed citations. Recurring topics across this work include Transcranial Magnetic Stimulation Studies (9 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Neuroscience and Neural Engineering (3 papers), Functional Brain Connectivity Studies (3 papers), Neurological Disease Mechanisms and Treatments (3 papers), Neurogenesis and neuroplasticity mechanisms (2 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 (310 citations), Biological Psychiatry (42 citations), Developmental Neuroscience (50 citations), Cognitive Neuroscience (123 citations) and Cellular and Molecular Neuroscience (112 citations). Mingwei Wang has collaborated with scholars based in China, Hong Kong and Australia. Frequent co-authors include Yanyong Wang, Jun Ma, Dandan Geng, Lin Kang, Bing Han, Yuan Geng, Lin Wang, Yuhong Su, Huixian Cui and Huixian Cui. Their work appears in journals such as Frontiers in Aging Neuroscience, PLoS ONE, Cellular Physiology and Biochemistry, International Psychogeriatrics and Oxidative Medicine and Cellular Longevity.
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.