Jin‐Chung Chen

4.0k citations
112 papers · 3.0k · h-index 30

Impact in

Papers in

Jin‐Chung Chen

110 papers receiving 2.9k citations

Peers

Jin‐Chung Chen
Comparison fields: 5 of 132
  • Cellular and Molecular Neuroscience 1.2k
  • Behavioral Neuroscience 200
  • Biological Psychiatry 97
  • Developmental Neuroscience 143
  • Endocrine and Autonomic Systems 140
Replace Jitendra R. Dave with:
Jitendra R. Dave United States
Paul McGonigle United States
Pan Dong Ryu South Korea
Gavin S. Dawe Singapore
Rafael Coveñas Spain
Kevin A. Sevarino United States
Jay Yang United States
Alfredo Feria‐Velasco Mexico
Cláudia Cavadas Portugal
Jin‐Chung Chen relative to Jitendra R. Dave United States Jitendra R. Dave's profile →
Citations per field
00.5×1.5×1.8×
Jitendra R. Dave · 1×
Citations per year

Countries citing papers authored by Jin‐Chung Chen

Since Specialization
Citations

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

Fields of papers citing papers by Jin‐Chung Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 112 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993129
2 2011121
3 2008118
4 2013104
5 199294
6 199283
7 201275
8 200569
9 201269
10 200467
11 201261
12 199756
13 200556
14
Molecular mechanisms of psychostimulant addiction.
200955
15 199454
16 200450
17 200849
18 200646
19 199145
20 201344

About Jin‐Chung Chen

Jin‐Chung Chen is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Social Psychology, Physiology and Behavioral Neuroscience, having authored 112 papers that have together received 3.0k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (36 papers), Neuroscience and Neuropharmacology Research (26 papers), Receptor Mechanisms and Signaling (26 papers), Neuropeptides and Animal Physiology (18 papers), Neuroendocrine regulation and behavior (12 papers), Stress Responses and Cortisol (9 papers), Pain Mechanisms and Treatments (9 papers) and Regulation of Appetite and Obesity (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.2k citations), Behavioral Neuroscience (200 citations), Biological Psychiatry (97 citations), Developmental Neuroscience (143 citations) and Endocrine and Autonomic Systems (140 citations). Jin‐Chung Chen has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Ya‐Tin Lin, Pei‐Chun Chen, Ladislav Volicer, Mitchell Chesler, Yao‐Chang Chiang, Chu Lan Lao, Janina R. Galler, Jordan B. Fishman, Tzu‐Chen Yen and Hao-Li Liu. Their work appears in journals such as Life Sciences, Journal of Neurochemistry, Peptides, International Journal of Molecular Sciences and European Journal of Pharmacology.

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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