Chongyang Han

3.0k citations
31 papers · 2.3k · h-index 21

Impact in

Papers in

Chongyang Han

31 papers receiving 2.3k citations

Peers

Chongyang Han
Comparison fields: 5 of 92
  • Physiology 1.5k
  • Cellular and Molecular Neuroscience 942
  • Sensory Systems 227
  • Neurology 452
  • Molecular Biology 1.4k
Replace Sanja D. Novaković with:
Sanja D. Novaković United States
Veronika Souslova United Kingdom
Raymond A. Chavez United States
Steven England United Kingdom
Pradipta Ray United States
Gregory J. Michael United Kingdom
Christoforos Tsantoulas United Kingdom
Michele Rees United Kingdom
Michael S. Minett United Kingdom
Stephen G. Waxman United States
Chongyang Han relative to Sanja D. Novaković United States Sanja D. Novaković's profile →
Citations per field
00.5×8.2×
Sanja D. Novaković · 1×
Citations per year

Countries citing papers authored by Chongyang Han

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Chongyang Han Line = papers co-authored together Chongyang Han links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011394
2 2012328
3 2014217
4 2012212
5 2006137
6 200994
7 201590
8 201188
9 201286
10 201686
11 201270
12 200969
13 201568
14 201458
15 201648
16 201840
17 200737
18 201835
19 201233
20 201821

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.

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