Peter T.‐H. Wong
Impact in
- Biochemistry top 0.2%
- Sulfur Compounds in Biology
-
- Neuroscience of respiration and sleep
Papers in
-
- Neuroscience and Neuropharmacology Research 36
- Neurotransmitter Receptor Influence on Behavior 18
- Biochemistry 16
- Sulfur Compounds in Biology 11
- Co-authors
- Jin‐Song BianPhilip K. MooreLi‐Fang HuChristopher ChenMitchell K.P. LaiShabbir MoochhalaBoon Hian TanEng‐Tat Ang
- Journals
- Journal of Neurochemistry (7 papers)Neuroreport (6 papers)Brain Research (6 papers)Neuroscience (4 papers)Journal of Biological Chemistry (3 papers)
- Partner nations
- SingaporeUnited StatesUnited Kingdom
In The Last Decade
Peter T.‐H. Wong
107 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 132
- Biochemistry 1.2k
- Endocrine and Autonomic Systems 520
- Biological Psychiatry 127
- Behavioral Neuroscience 176
- Cellular and Molecular Neuroscience 877
Countries citing papers authored by Peter T.‐H. Wong
This map shows the geographic impact of Peter T.‐H. Wong'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 Peter T.‐H. Wong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter T.‐H. Wong more than expected).
Fields of papers citing papers by Peter T.‐H. Wong
This network shows the impact of papers produced by Peter T.‐H. Wong. 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 Peter T.‐H. Wong. The network helps show where Peter T.‐H. Wong may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Peter T.‐H. Wong, 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 | 2020 | 29 | |
| 2 | 2020 | 21 | |
| 3 | 2019 | 22 | |
| 4 | 2016 | 3 | |
| 5 | 2015 | 14 | |
| 6 | 2013 | 32 | |
| 7 | 2012 | 227 | |
| 8 | 2011 | 14 | |
| 9 | 2010 | 58 | |
| 10 | 2009 | 34 | |
| 11 | 2008 | 19 | |
| 12 | 2006 | 54 | |
| 13 | 2005 | 46 | |
| 14 | 2005 | 7 | |
| 15 | Serotonin 5-HT2A receptor alterations in the postmortem neocortex of behaviorally assessed Alzheimer patients | 2003 | 2 |
| 16 | 2003 | 15 | |
| 17 | 2000 | 1 | |
| 18 | 1997 | 14 | |
| 19 | 1995 | 20 | |
| 20 | 1991 | 1 |
About Peter T.‐H. Wong
Peter T.‐H. Wong is a scholar working on Cellular and Molecular Neuroscience, Biochemistry, Behavioral Neuroscience, Biological Psychiatry and Developmental Neuroscience, having authored 107 papers that have together received 3.8k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (36 papers), Neurotransmitter Receptor Influence on Behavior (18 papers), Receptor Mechanisms and Signaling (18 papers), Sulfur Compounds in Biology (11 papers), Biochemical effects in animals (9 papers), Memory and Neural Mechanisms (9 papers), Nicotinic Acetylcholine Receptors Study (9 papers) and Stress Responses and Cortisol (7 papers). The work is most often cited by research in Biochemistry (1.2k citations), Endocrine and Autonomic Systems (520 citations), Biological Psychiatry (127 citations), Behavioral Neuroscience (176 citations) and Cellular and Molecular Neuroscience (877 citations). Peter T.‐H. Wong has collaborated with scholars based in Singapore, United States and United Kingdom. Frequent co-authors include Jin‐Song Bian, Philip K. Moore, Li‐Fang Hu, Christopher Chen, Mitchell K.P. Lai, Shabbir Moochhala, Boon Hian Tan, Eng‐Tat Ang, Edith G. McGeer and Yi Zhun Zhu. Their work appears in journals such as Journal of Neurochemistry, Neuroreport, Brain Research, Neuroscience and Journal of Biological Chemistry.
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.