Jin‐Chung Chen

4.1k citations
114 papers · 3.1k · h-index 31

Impact in

Papers in

Jin‐Chung Chen

112 papers receiving 3.1k citations

Peers

Jin‐Chung Chen
Comparison fields: 5 of 136
  • Cellular and Molecular Neuroscience 1.3k
  • Behavioral Neuroscience 220
  • Biological Psychiatry 113
  • Developmental Neuroscience 151
  • Endocrine and Autonomic Systems 160
Replace Paul McGonigle with:
Paul McGonigle United States
Rafael Coveñas Spain
Pan Dong Ryu South Korea
Gavin S. Dawe Singapore
Charbel Massaad France
Cláudia Cavadas Portugal
Cinzia Severini Italy
Carmen De Felipe Spain
Jay Yang United States
Jin‐Chung Chen relative to Paul McGonigle United States Paul McGonigle's profile →
Citations per field
00.5×1.5×
Paul McGonigle · 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 114 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993129
2 2011119
3 2008118
4 2013103
5 199293
6 199283
7 201273
8 199271
9 200568
10 201268
11 200465
12 201261
13 200556
14 199756
15
Molecular mechanisms of psychostimulant addiction.
200955
16 199454
17 200450
18 200848
19 200645
20 199145

About Jin‐Chung Chen

Jin‐Chung Chen is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Physiology, Social Psychology and Behavioral Neuroscience, having authored 114 papers that have together received 3.1k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (38 papers), Receptor Mechanisms and Signaling (28 papers), Neuroscience and Neuropharmacology Research (28 papers), Neuropeptides and Animal Physiology (20 papers), Neuroendocrine regulation and behavior (12 papers), Pain Mechanisms and Treatments (11 papers), Stress Responses and Cortisol (9 papers) and Ultrasound and Hyperthermia Applications (8 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.3k citations), Behavioral Neuroscience (220 citations), Biological Psychiatry (113 citations), Developmental Neuroscience (151 citations) and Endocrine and Autonomic Systems (160 citations). Jin‐Chung Chen has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Ya‐Tin Lin, Pei‐Chun Chen, Ladislav Volicer, Mitchell Chesler, Yao‐Chang Chiang, Janina R. Galler, Chu Lan Lao, Jordan B. Fishman, Victor D. Ramírez and Hao-Li Liu. Their work appears in journals such as Life Sciences, Peptides, Journal of Neurochemistry, European Journal of Pharmacology and International Journal of Molecular Sciences.

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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