Mo Chen
Impact in
- Otorhinolaryngology top 2%
- Head and Neck Cancer Studies
- Neurology top 5%
- Transcranial Magnetic Stimulation Studies
Papers in
- Neurology 21
- Transcranial Magnetic Stimulation Studies 19
- Vestibular and auditory disorders 5
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- EEG and Brain-Computer Interfaces 4
- Functional Brain Connectivity Studies 4
- Co-authors
- James N. Smith (3 shared papers)Jun Zhao (3 shared papers)Peter H. McMurry (2 shared papers)Chongai Kuang (2 shared papers)Teresa J. Kimberley (17 shared papers)Steven G. Carmella (2 shared papers)Stephen S. Hecht (2 shared papers)Ying Sun (4 shared papers)
- Journals
- Brain stimulation (5 papers)PLoS ONE (4 papers)Neuromodulation Technology at the Neural Interface (3 papers)Atmospheric chemistry and physics (3 papers)Frontiers in Human Neuroscience (3 papers)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Mo Chen
82 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 147
- Otorhinolaryngology 173
- Neurology 228
- Catalysis 113
- Atmospheric Science 291
- Health, Toxicology and Mutagenesis 172
Countries citing papers authored by Mo Chen
This map shows the geographic impact of Mo Chen'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 Mo Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mo Chen more than expected).
Fields of papers citing papers by Mo Chen
This network shows the impact of papers produced by Mo Chen. 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 Mo Chen. The network helps show where Mo Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Mo Chen, 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 94 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1979 | 127 | |
| 2 | 1999 | 113 | |
| 3 | 2012 | 112 | |
| 4 | 2011 | 104 | |
| 5 | 2012 | 93 | |
| 6 | 1978 | 89 | |
| 7 | 2018 | 82 | |
| 8 | 2013 | 71 | |
| 9 | 2018 | 64 | |
| 10 | 2013 | 59 | |
| 11 | 2006 | 53 | |
| 12 | 2012 | 38 | |
| 13 | 2000 | 37 | |
| 14 | 2015 | 35 | |
| 15 | 2007 | 33 | |
| 16 | 2013 | 30 | |
| 17 | 2012 | 30 | |
| 18 | 2022 | 26 | |
| 19 | 2017 | 26 | |
| 20 | 2018 | 24 |
About Mo Chen
Mo Chen is a scholar working on Neurology, Cognitive Neuroscience, Biomedical Engineering, Surgery and Molecular Biology, having authored 94 papers that have together received 1.7k indexed citations. Recurring topics across this work include Transcranial Magnetic Stimulation Studies (19 papers), Muscle activation and electromyography studies (8 papers), Vestibular and auditory disorders (5 papers), Stroke Rehabilitation and Recovery (5 papers), EEG and Brain-Computer Interfaces (4 papers), Functional Brain Connectivity Studies (4 papers), Head and Neck Cancer Studies (4 papers) and Voice and Speech Disorders (3 papers). The work is most often cited by research in Otorhinolaryngology (173 citations), Neurology (228 citations), Catalysis (113 citations), Atmospheric Science (291 citations) and Health, Toxicology and Mutagenesis (172 citations). Mo Chen has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include James N. Smith, Jun Zhao, Peter H. McMurry, Chongai Kuang, Teresa J. Kimberley, Steven G. Carmella, Stephen S. Hecht, Ying Sun, Jun Ma and Li-Zhi Liu. Their work appears in journals such as Brain stimulation, PLoS ONE, Neuromodulation Technology at the Neural Interface, Atmospheric chemistry and physics and Frontiers in Human Neuroscience.
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.