Liu Shi Gan
- Neurology top 5%
- Transcranial Magnetic Stimulation Studies 12
- Neurological disorders and treatments 5
- Neurology top 10%
- Transcranial Magnetic Stimulation Studies 12
- Neurological disorders and treatments 5
- Biomedical Engineering top 10%
- Anatomy and Medical Technology 10
- Soft Robotics and Applications 9
- Muscle activation and electromyography studies 4
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces 5
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- Neuroscience and Neural Engineering 8
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- Surgical Simulation and Training 6
- Co-authors
- Garnette R. SutherlandKourosh ZareiniaSanju LamaYaser MaddahiOury MonchiStefan LangFang YangTaku Sugiyama
- Cited by
- NeurologyBiomedical Engineering
- Journals
- Journal of Neurophysiology (1 paper)Scientific Reports (1 paper)Journal of neurosurgery (1 paper)
- Partner nations
- CanadaUnited StatesItaly
In The Last Decade
Liu Shi Gan
35 papers receiving 687 citations
Peers
Comparison fields: 5 of 83
- Neurology 151
- Neurology 129
- Biomedical Engineering 350
- Cognitive Neuroscience 149
- Health Informatics 9
Countries citing papers authored by Liu Shi Gan
This map shows the geographic impact of Liu Shi Gan'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 Liu Shi Gan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liu Shi Gan more than expected).
Fields of papers citing papers by Liu Shi Gan
This network shows the impact of papers produced by Liu Shi Gan. 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 Liu Shi Gan. The network helps show where Liu Shi Gan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Liu Shi Gan, 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 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2020 | 13 | |
| 5 | 2020 | 22 | |
| 6 | 2019 | 51 | |
| 7 | 2018 | 12 | |
| 8 | 2017 | 41 | |
| 9 | 2017 | 19 | |
| 10 | 2017 | 30 | |
| 11 | 2016 | 47 | |
| 12 | 2015 | 39 | |
| 13 | 2015 | 12 | |
| 14 | 2015 | 54 | |
| 15 | 2012 | 53 | |
| 16 | 2012 | 31 | |
| 17 | 2011 | 7 | |
| 18 | 2011 | 2 | |
| 19 | 2009 | 12 | |
| 20 | 2007 | 16 |
About Liu Shi Gan
Liu Shi Gan is a scholar working on Neurology, Cellular and Molecular Neuroscience and Neurology, having authored 37 papers that have together received 698 indexed citations. Recurring topics across this work include Transcranial Magnetic Stimulation Studies (12 papers), Anatomy and Medical Technology (10 papers), Soft Robotics and Applications (9 papers), Neuroscience and Neural Engineering (8 papers), Surgical Simulation and Training (6 papers), Neurological disorders and treatments (5 papers), EEG and Brain-Computer Interfaces (5 papers) and Muscle activation and electromyography studies (4 papers). The work is most often cited by research in Neurology (151 citations), Neurology (129 citations) and Biomedical Engineering (350 citations). Liu Shi Gan has collaborated with scholars based in Canada, United States and Italy. Frequent co-authors include Garnette R. Sutherland, Kourosh Zareinia, Sanju Lama, Yaser Maddahi, Oury Monchi, Stefan Lang, Fang Yang, Taku Sugiyama, Stefan Wolfsberger and A. Procházka. Their work appears in journals such as Journal of Neurophysiology, Scientific Reports and Journal of neurosurgery.
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.