Chen‐Yu Chiang
Impact in
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- Neuroscience and Neuropharmacology Research
- Neuropeptides and Animal Physiology
- Neurotransmitter Receptor Influence on Behavior
- Physiology top 2%
- Pain Mechanisms and Treatments
Papers in
- Physiology 28
- Pain Mechanisms and Treatments 28
- Adenosine and Purinergic Signaling 4
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- Neuroscience and Neuropharmacology Research 14
- Neurotransmitter Receptor Influence on Behavior 8
- Neuropeptides and Animal Physiology 8
- Co-authors
- Gary Aston‐Jones (4 shared papers)Barry J. Sessle (20 shared papers)Tatiana Alexinsky (1 shared paper)Jonathan O. Dostrovsky (18 shared papers)Jim Hu (7 shared papers)Koichi Iwata (3 shared papers)Yu‐Feng Xie (5 shared papers)J.P. Rivot (3 shared papers)
In The Last Decade
Chen‐Yu Chiang
61 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 116
- Cellular and Molecular Neuroscience 1.1k
- Physiology 1.1k
- Behavioral Neuroscience 143
- Cognitive Neuroscience 579
- Neurology 226
Countries citing papers authored by Chen‐Yu Chiang
This map shows the geographic impact of Chen‐Yu Chiang'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 Chen‐Yu Chiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen‐Yu Chiang more than expected).
Fields of papers citing papers by Chen‐Yu Chiang
This network shows the impact of papers produced by Chen‐Yu Chiang. 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 Chen‐Yu Chiang. The network helps show where Chen‐Yu Chiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Chen‐Yu Chiang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1991 | 487 | |
| 2 | 1998 | 247 | |
| 3 | 2009 | 172 | |
| 4 | 2011 | 105 | |
| 5 | 2007 | 104 | |
| 6 | 2006 | 98 | |
| 7 | 2019 | 74 | |
| 8 | 1994 | 74 | |
| 9 | 2012 | 71 | |
| 10 | 1982 | 70 | |
| 11 | 1993 | 69 | |
| 12 | 1991 | 67 | |
| 13 | 1993 | 66 | |
| 14 | 2011 | 59 | |
| 15 | 1993 | 59 | |
| 16 | 1989 | 56 | |
| 17 | 2022 | 49 | |
| 18 | 2005 | 48 | |
| 19 | 2019 | 47 | |
| 20 | 2011 | 43 |
About Chen‐Yu Chiang
Chen‐Yu Chiang is a scholar working on Physiology, Cellular and Molecular Neuroscience, Molecular Biology, Pharmacology and Cognitive Neuroscience, having authored 62 papers that have together received 2.6k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (28 papers), Neuroscience and Neuropharmacology Research (14 papers), Neurotransmitter Receptor Influence on Behavior (8 papers), Neuropeptides and Animal Physiology (8 papers), Microbial Natural Products and Biosynthesis (7 papers), Plant biochemistry and biosynthesis (5 papers), Botulinum Toxin and Related Neurological Disorders (4 papers) and Adenosine and Purinergic Signaling (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.1k citations), Physiology (1.1k citations), Behavioral Neuroscience (143 citations), Cognitive Neuroscience (579 citations) and Neurology (226 citations). Chen‐Yu Chiang has collaborated with scholars based in Canada, Taiwan and China. Frequent co-authors include Gary Aston‐Jones, Barry J. Sessle, Tatiana Alexinsky, Jonathan O. Dostrovsky, Jim Hu, Koichi Iwata, Yu‐Feng Xie, J.P. Rivot, Min Zhuo and Hsiao‐Ching Lin. Their work appears in journals such as Brain Research, Environmental Toxicology, Neuroscience, Journal of Pain and Journal of the American Chemical Society.
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.