Shanping Chen

2.3k citations
60 papers · 1.7k · h-index 23

Impact in

Papers in

Shanping Chen

56 papers receiving 1.7k citations

Peers

Shanping Chen
Comparison fields: 5 of 143
  • Sensory Systems 466
  • Cellular and Molecular Neuroscience 519
  • Endocrine and Autonomic Systems 129
  • Cognitive Neuroscience 389
  • Neurology 141
Replace Maria Vittoria Podda with:
Maria Vittoria Podda Italy
Bibiana Scelfo Italy
Huan Ma China
Ran Chen China
Youngnam Kang Japan
David H. McDougal United States
Xiong Xiao China
M Wesierska Poland
Alex C. Conner United Kingdom
Ursula H. Winzer‐Serhan United States
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Citations per field
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Citations per year

Countries citing papers authored by Shanping Chen

Since Specialization
Citations

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

Fields of papers citing papers by Shanping Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003173
2 2019149
3 2005120
4 2014109
5 201187
6 200279
7 201472
8 201865
9 201963
10 200462
11 201862
12 200560
13 200357
14 200851
15 201247
16 202343
17 199842
18 201238
19 199831
20 200026

About Shanping Chen

Shanping Chen is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Sensory Systems, Radiology, Nuclear Medicine and Imaging and Materials Chemistry, having authored 60 papers that have together received 1.7k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (12 papers), Plasma Applications and Diagnostics (8 papers), Catalytic Processes in Materials Science (7 papers), Hearing, Cochlea, Tinnitus, Genetics (5 papers), Industrial Gas Emission Control (5 papers), Neurobiology and Insect Physiology Research (4 papers), Ion Channels and Receptors (4 papers) and Photoreceptor and optogenetics research (4 papers). The work is most often cited by research in Sensory Systems (466 citations), Cellular and Molecular Neuroscience (519 citations), Endocrine and Autonomic Systems (129 citations), Cognitive Neuroscience (389 citations) and Neurology (141 citations). Shanping Chen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include David L. Glanzman, Diancai Cai, Xi Lin, Shoab Ahmad, Kaycey Pearce, Jianjun Sun, Xi Lin, Ping Chen, Chuan Zou and Adam C. Roberts. Their work appears in journals such as Journal of Neuroscience, Frontiers in Psychology, Journal of Neurophysiology, Experimental Gerontology and Current Biology.

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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