Chia‐Chuan Wang
Impact in
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- Neuroscience and Neuropharmacology Research
- Neuropeptides and Animal Physiology
- Behavioral Neuroscience top 5%
- Stress Responses and Cortisol
Papers in
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- Neuroscience and Neuropharmacology Research 15
- Neuropeptides and Animal Physiology 7
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- Stress Responses and Cortisol 3
- Co-authors
- Robert W. GereauFarzana KarimSu‐Jane WangKarin N. WestlundBai‐Chuang ShyuCheng-Wei LüTzu‐Yu LinWilliam D. Willis
- Journals
- Journal of Pharmacology and Experimental Therapeutics (2 papers)Brain Research (2 papers)Pain (2 papers)The Journal of Comparative Neurology (2 papers)Progress in Neuro-Psychopharmacology and Biological Psychiatry (2 papers)
- Partner nations
- TaiwanUnited StatesIreland
In The Last Decade
Chia‐Chuan Wang
30 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 77
- Cellular and Molecular Neuroscience 568
- Behavioral Neuroscience 98
- Physiology 654
- Biological Psychiatry 51
- Sensory Systems 61
Countries citing papers authored by Chia‐Chuan Wang
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 5 | |
| 2 | 2014 | 5 | |
| 3 | 2014 | 31 | |
| 4 | 2013 | 52 | |
| 5 | 2012 | 24 | |
| 6 | 2012 | 4 | |
| 7 | 2012 | 1 | |
| 8 | 2011 | 58 | |
| 9 | 2011 | 13 | |
| 10 | 2011 | 44 | |
| 11 | 2010 | 12 | |
| 12 | 2010 | 13 | |
| 13 | 2009 | 9 | |
| 14 | 2009 | 1 | |
| 15 | 2008 | 122 | |
| 16 | 2006 | 19 | |
| 17 | 2003 | 71 | |
| 18 | 2001 | 23 | |
| 19 | 2001 | 36 | |
| 20 | 1999 | 81 |
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.