Shao-Rui Chen

6.0k citations
95 papers · 5.0k · h-index 45

Impact in

Papers in

Shao-Rui Chen

93 papers receiving 4.9k citations

Peers

Shao-Rui Chen
Comparison fields: 5 of 105
  • Cellular and Molecular Neuroscience 2.4k
  • Physiology 2.7k
  • Sensory Systems 399
  • Endocrine and Autonomic Systems 353
  • Behavioral Neuroscience 118
Replace Slobodan M. Todorovic with:
Slobodan M. Todorovic United States
Kyungsoon Chung United States
Mohammed A. Nassar United Kingdom
Yuan‐Xiang Tao United States
R.G. Hill United Kingdom
Virginia S. Seybold United States
Manfred Göthert Germany
Fabien Marchand France
S. Bourgoin France
Barbara Przewłocka Poland
Shao-Rui Chen relative to Slobodan M. Todorovic United States Slobodan M. Todorovic's profile →
Citations per field
00.5×2.6×
Slobodan M. Todorovic · 1×
Citations per year

Countries citing papers authored by Shao-Rui Chen

Since Specialization
Citations

This map shows the geographic impact of Shao-Rui 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 Shao-Rui Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shao-Rui Chen more than expected).

Fields of papers citing papers by Shao-Rui Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shao-Rui 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 Shao-Rui Chen. The network helps show where Shao-Rui Chen may publish in the future.

Co-authors

The 25 scholars most cited alongside Shao-Rui Chen, 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 Shao-Rui Chen Line = papers co-authored together Shao-Rui Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012226
2 2018217
3 2011164
4 2007157
5 2003151
6 2002132
7 2003126
8 2012122
9 2010118
10 2005109
11 2004104
12 2002100
13 200995
14 201291
15 200381
16 200481
17 200179
18 200479
19 201477
20 201875

About Shao-Rui Chen

Shao-Rui Chen is a scholar working on Physiology, Cellular and Molecular Neuroscience, Molecular Biology, Pharmacology and Neurology, having authored 95 papers that have together received 5.0k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (72 papers), Neuroscience and Neuropharmacology Research (43 papers), Ion channel regulation and function (35 papers), Neuropeptides and Animal Physiology (20 papers), Receptor Mechanisms and Signaling (11 papers), Botulinum Toxin and Related Neurological Disorders (7 papers), Ion Channels and Receptors (7 papers) and Cannabis and Cannabinoid Research (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.4k citations), Physiology (2.7k citations), Sensory Systems (399 citations), Endocrine and Autonomic Systems (353 citations) and Behavioral Neuroscience (118 citations). Shao-Rui Chen has collaborated with scholars based in United States, China and Czechia. Frequent co-authors include Hui‐Lin Pan, De‐Pei Li, Hongyi Zhou, Zi-Zhen Wu, Hong Chen, Hong Chen, Hongmei Zhang, Ghous M. Khan, James C. Eisenach and Lingyong Li. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, Journal of Biological Chemistry, Journal of Neurophysiology, Journal of Neuroscience and Anesthesiology.

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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