Chongyang Han
Impact in
- Physiology top 1%
- Pain Mechanisms and Treatments
-
- Neuroscience and Neuropharmacology Research
- Hereditary Neurological Disorders
Papers in
-
- Ion channel regulation and function 18
- Physiology 15
- Pain Mechanisms and Treatments 15
- Co-authors
- Stephen G. Waxman (21 shared papers)Sulayman D. Dib‐Hajj (20 shared papers)Giuseppe Lauria (8 shared papers)Catharina G. Faber (8 shared papers)Janneke G. J. Hoeijmakers (7 shared papers)Monique M. Gerrits (7 shared papers)Mark Estación (6 shared papers)Jianying Huang (3 shared papers)
- Journals
- Brain (4 papers)Molecular Pain (3 papers)Brain Imaging and Behavior (2 papers)Journal of Neurophysiology (2 papers)Pain (2 papers)
- Partner nations
- United StatesChinaNetherlands
In The Last Decade
Chongyang Han
31 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 92
- Physiology 1.5k
- Cellular and Molecular Neuroscience 942
- Sensory Systems 227
- Neurology 452
- Molecular Biology 1.4k
Countries citing papers authored by Chongyang Han
This map shows the geographic impact of Chongyang Han'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 Chongyang Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chongyang Han more than expected).
Fields of papers citing papers by Chongyang Han
This network shows the impact of papers produced by Chongyang Han. 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 Chongyang Han. The network helps show where Chongyang Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Chongyang Han, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 394 | |
| 2 | 2012 | 328 | |
| 3 | 2014 | 217 | |
| 4 | 2012 | 212 | |
| 5 | 2006 | 137 | |
| 6 | 2009 | 94 | |
| 7 | 2015 | 90 | |
| 8 | 2011 | 88 | |
| 9 | 2012 | 86 | |
| 10 | 2016 | 86 | |
| 11 | 2012 | 70 | |
| 12 | 2009 | 69 | |
| 13 | 2015 | 68 | |
| 14 | 2014 | 58 | |
| 15 | 2016 | 48 | |
| 16 | 2018 | 40 | |
| 17 | 2007 | 37 | |
| 18 | 2018 | 35 | |
| 19 | 2012 | 33 | |
| 20 | 2018 | 21 |
About Chongyang Han
Chongyang Han is a scholar working on Molecular Biology, Physiology, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine and Sensory Systems, having authored 31 papers that have together received 2.3k indexed citations. Recurring topics across this work include Ion channel regulation and function (18 papers), Pain Mechanisms and Treatments (15 papers), Cardiac electrophysiology and arrhythmias (7 papers), Neuroscience and Neuropharmacology Research (5 papers), Hereditary Neurological Disorders (3 papers), Ion Channels and Receptors (3 papers), Advanced Neuroimaging Techniques and Applications (2 papers) and Botulinum Toxin and Related Neurological Disorders (2 papers). The work is most often cited by research in Physiology (1.5k citations), Cellular and Molecular Neuroscience (942 citations), Sensory Systems (227 citations), Neurology (452 citations) and Molecular Biology (1.4k citations). Chongyang Han has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Stephen G. Waxman, Sulayman D. Dib‐Hajj, Giuseppe Lauria, Catharina G. Faber, Janneke G. J. Hoeijmakers, Monique M. Gerrits, Mark Estación, Jianying Huang, Hye‐Sook Ahn and Xiaoyang Cheng. Their work appears in journals such as Brain, Molecular Pain, Brain Imaging and Behavior, Journal of Neurophysiology and Pain.
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.