Chia‐Chuan Wang

1.4k citations
31 papers · 1.2k indexed · h-index 17

Impact in

Papers in

Chia‐Chuan Wang

30 papers receiving 1.1k citations

Peers

Chia‐Chuan Wang
Comparison fields: 5 of 77
  • Cellular and Molecular Neuroscience 568
  • Behavioral Neuroscience 98
  • Physiology 654
  • Biological Psychiatry 51
  • Sensory Systems 61
Replace Gordon Munro with:
Gordon Munro Denmark
Elisabeth Waltisperger France
Hong Cao China
Yu‐Lin Dong China
Kan Miyoshi Japan
Mitsuo Tanabe Japan
Jing‐Shi Tang China
Daniel L. Voisin France
Ruth Drdla-Schutting Austria
Ming‐Gang Liu China
Chia‐Chuan Wang relative to Gordon Munro Denmark Gordon Munro's profile →
Citations per field
00.5×1.5×1.8×
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Citations per year

Countries citing papers authored by Chia‐Chuan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Chia‐Chuan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chia‐Chuan Wang. 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 Chia‐Chuan Wang. The network helps show where Chia‐Chuan Wang may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20195
2 20145
3 201431
4 201352
5 201224
6 20124
7 20121
8 201158
9 201113
10 201144
11 201012
12 201013
13 20099
14 20091
15 2008122
16 200619
17 200371
18 200123
19 200136
20 199981

About Chia‐Chuan Wang

Chia‐Chuan Wang is a scholar working on Cellular and Molecular Neuroscience, Behavioral Neuroscience, Physiology, Biological Psychiatry and Cognitive Neuroscience, having authored 31 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (15 papers), Pain Mechanisms and Treatments (11 papers), Neuropeptides and Animal Physiology (7 papers), Memory and Neural Mechanisms (4 papers), Ion channel regulation and function (4 papers), Stress Responses and Cortisol (3 papers), Neuroendocrine regulation and behavior (3 papers) and Receptor Mechanisms and Signaling (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (568 citations), Behavioral Neuroscience (98 citations), Physiology (654 citations), Biological Psychiatry (51 citations) and Sensory Systems (61 citations). Chia‐Chuan Wang has collaborated with scholars based in Taiwan, United States and Ireland. Frequent co-authors include Robert W. Gereau, Farzana Karim, Su‐Jane Wang, Karin N. Westlund, Bai‐Chuang Shyu, Cheng-Wei Lü, Tzu‐Yu Lin, William D. Willis, Yeong‐Ray Wen and Wei‐Zen Sun. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, Brain Research, Pain, The Journal of Comparative Neurology and Progress in Neuro-Psychopharmacology and Biological Psychiatry.

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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