T. H. C. Cheung
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- Neurotransmitter Receptor Influence on Behavior 15
- Neuroscience and Neuropharmacology Research 7
- Cognitive Neuroscience top 5%
- Neuroscience and Music Perception 11
- Neural dynamics and brain function 4
- General Decision Sciences top 10%
- Behavioral Neuroscience top 10%
- Music top 5%
- Diverse Music Education Insights 6
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- Behavioral and Psychological Studies 7
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- Neurological disorders and treatments 4
- Parkinson's Disease Mechanisms and Treatments 4
- Co-authors
- Rudolf N. CardinalS. BodyJanet L. NeisewanderE. SzabadiC. M. BradshawG. BezzinaFederico SanabriaK.C.F. Fone
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Pharmacology and Experimental Therapeutics (1 paper)Psychopharmacology (10 papers)
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
T. H. C. Cheung
33 papers receiving 768 citations
Peers
Comparison fields: 5 of 65
- Cellular and Molecular Neuroscience 460
- Cognitive Neuroscience 400
- General Decision Sciences 27
- Behavioral Neuroscience 50
- Music 43
Countries citing papers authored by T. H. C. Cheung
This map shows the geographic impact of T. H. C. Cheung'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 T. H. C. Cheung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. H. C. Cheung more than expected).
Fields of papers citing papers by T. H. C. Cheung
This network shows the impact of papers produced by T. H. C. Cheung. 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 T. H. C. Cheung. The network helps show where T. H. C. Cheung may publish in the future.
Co-authorship network
The 25 scholars most cited alongside T. H. C. Cheung, 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 | 2021 | 1 | |
| 2 | 2014 | 11 | |
| 3 | 2013 | 11 | |
| 4 | 2013 | 35 | |
| 5 | 2013 | 1 | |
| 6 | 2013 | 20 | |
| 7 | 2012 | 14 | |
| 8 | 2011 | 14 | |
| 9 | 2009 | 16 | |
| 10 | 2008 | 30 | |
| 11 | 2008 | 17 | |
| 12 | 2008 | 16 | |
| 13 | 2008 | 30 | |
| 14 | 2007 | 9 | |
| 15 | 2007 | 12 | |
| 16 | 2007 | 17 | |
| 17 | 2007 | 68 | |
| 18 | 2006 | 20 | |
| 19 | 2005 | 72 | |
| 20 | 2005 | 19 |
About T. H. C. Cheung
T. H. C. Cheung is a scholar working on Music, Cellular and Molecular Neuroscience and Behavioral Neuroscience, having authored 33 papers that have together received 780 indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (15 papers), Neuroscience and Music Perception (11 papers), Neuroscience and Neuropharmacology Research (7 papers), Behavioral and Psychological Studies (7 papers), Diverse Music Education Insights (6 papers), Neural dynamics and brain function (4 papers), Neurological disorders and treatments (4 papers) and Parkinson's Disease Mechanisms and Treatments (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (460 citations), Cognitive Neuroscience (400 citations) and General Decision Sciences (27 citations). T. H. C. Cheung has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Rudolf N. Cardinal, S. Body, Janet L. Neisewander, E. Szabadi, C. M. Bradshaw, G. Bezzina, Federico Sanabria, K.C.F. Fone, J.F.W. Deakin and Ian Anderson. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Pharmacology and Experimental Therapeutics and Psychopharmacology.
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.