Chunhui Mo
Impact in
- Cell Biology top 10%
- Cellular Mechanics and Interactions
- Hippo pathway signaling and YAP/TAZ
- Microtubule and mitosis dynamics
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- Neurobiology and Insect Physiology Research
Papers in
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- Neurobiology and Insect Physiology Research 2
- Neuroscience and Neural Engineering 1
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- Neural dynamics and brain function 4
- Visual perception and processing mechanisms 3
- Co-authors
- Scott E. Fraser (1 shared paper)Ying Gong (1 shared paper)Fabrizio Gabbiani (2 shared papers)Gilles Laurent (2 shared papers)Christof Koch (3 shared papers)Holger G. Krapp (1 shared paper)Nicholas G. Hatsopoulos (1 shared paper)Ming Gu (1 shared paper)
- Journals
- Neural Computation (2 papers)Journal of Physiology-Paris (1 paper)Nature (1 paper)Journal of Neuroscience (1 paper)Journal of the Brazilian Society of Mechanical Sciences and Engineering (1 paper)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Chunhui Mo
6 papers receiving 529 citations
Peers
Comparison fields: 5 of 63
- Cell Biology 193
- Cellular and Molecular Neuroscience 154
- Cognitive Neuroscience 145
- Aging 11
- Molecular Biology 291
Countries citing papers authored by Chunhui Mo
This map shows the geographic impact of Chunhui Mo'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 Chunhui Mo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chunhui Mo more than expected).
Fields of papers citing papers by Chunhui Mo
This network shows the impact of papers produced by Chunhui Mo. 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 Chunhui Mo. The network helps show where Chunhui Mo may publish in the future.
Co-authors
The 8 scholars most cited alongside Chunhui Mo, 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 | 2004 | 337 | |
| 2 | 2001 | 95 | |
| 3 | 2004 | 67 | |
| 4 | 2003 | 29 | |
| 5 | 2004 | 3 | |
| 6 | 2022 | 2 |
About Chunhui Mo
Chunhui Mo is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Rehabilitation, Cell Biology and Biomedical Engineering, having authored 6 papers that have together received 533 indexed citations. Recurring topics across this work include Neural dynamics and brain function (4 papers), Visual perception and processing mechanisms (3 papers), Neurobiology and Insect Physiology Research (2 papers), Wnt/β-catenin signaling in development and cancer (1 paper), Hippo pathway signaling and YAP/TAZ (1 paper), Prosthetics and Rehabilitation Robotics (1 paper), Neuroscience and Neural Engineering (1 paper) and Muscle activation and electromyography studies (1 paper). The work is most often cited by research in Cell Biology (193 citations), Cellular and Molecular Neuroscience (154 citations), Cognitive Neuroscience (145 citations), Aging (11 citations) and Molecular Biology (291 citations). Chunhui Mo has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Scott E. Fraser, Ying Gong, Fabrizio Gabbiani, Gilles Laurent, Christof Koch, Holger G. Krapp, Nicholas G. Hatsopoulos and Ming Gu. Their work appears in journals such as Neural Computation, Journal of Physiology-Paris, Nature, Journal of Neuroscience and Journal of the Brazilian Society of Mechanical Sciences and 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.