Boshuo Wang
- Neurology top 5%
- Transcranial Magnetic Stimulation Studies 14
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- Neuroscience and Neural Engineering 14
- Photoreceptor and optogenetics research 4
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces 4
- Biomedical Engineering top 10%
- Muscle activation and electromyography studies 8
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- Pain Management and Treatment 3
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- Electrochemical Analysis and Applications 3
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- Analytical Chemistry and Sensors 3
- Co-authors
- Angel V. PeterchevWarren M. GrillAman S. AberraStefan M. GoetzZhongxi LiJacob T. RobinsonJames D. WeilandRoberto Garcia
- Journals
- Journal of Neural Engineering (10 papers)Brain stimulation (7 papers)Clinical Neurophysiology (3 papers)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Boshuo Wang
25 papers receiving 613 citations
Hit Papers
Peers
Comparison fields: 5 of 58
- Neurology 278
- Cellular and Molecular Neuroscience 250
- Cognitive Neuroscience 221
- Biomedical Engineering 256
- Radiology, Nuclear Medicine and Imaging 68
Countries citing papers authored by Boshuo Wang
This map shows the geographic impact of Boshuo 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 Boshuo Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Boshuo Wang more than expected).
Fields of papers citing papers by Boshuo Wang
This network shows the impact of papers produced by Boshuo 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 Boshuo Wang. The network helps show where Boshuo Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Boshuo 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 1 | |
| 6 | 2024 | 12 | |
| 7 | 2024 | 0 | |
| 8 | 2023 | 8 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 6 | |
| 11 | 2023 | 0 | |
| 12 | A wireless millimetric magnetoelectric implant for the endovascular stimulation of peripheral nervesbreakdown → | 2022 | 163 |
| 13 | 2022 | 48 | |
| 14 | 2022 | 28 | |
| 15 | 2022 | 18 | |
| 16 | 2022 | 9 | |
| 17 | 2019 | 198 | |
| 18 | 2018 | 21 | |
| 19 | 2018 | 30 | |
| 20 | 2018 | 35 |
About Boshuo Wang
Boshuo Wang is a scholar working on Neurology, Cellular and Molecular Neuroscience and Anesthesiology and Pain Medicine, having authored 31 papers that have together received 617 indexed citations. Recurring topics across this work include Transcranial Magnetic Stimulation Studies (14 papers), Neuroscience and Neural Engineering (14 papers), Muscle activation and electromyography studies (8 papers), Photoreceptor and optogenetics research (4 papers), EEG and Brain-Computer Interfaces (4 papers), Pain Management and Treatment (3 papers), Electrochemical Analysis and Applications (3 papers) and Analytical Chemistry and Sensors (3 papers). The work is most often cited by research in Neurology (278 citations), Cellular and Molecular Neuroscience (250 citations) and Cognitive Neuroscience (221 citations). Boshuo Wang has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Angel V. Peterchev, Warren M. Grill, Aman S. Aberra, Stefan M. Goetz, Zhongxi Li, Jacob T. Robinson, James D. Weiland, Roberto Garcia, Amanda Singer and Peter Kan. Their work appears in journals such as Journal of Neural Engineering, Brain stimulation, Clinical Neurophysiology, IEEE Transactions on Biomedical Engineering and Nature Biomedical Engineering.
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.