Peter T.‐H. Wong

4.5k citations
107 papers · 3.8k indexed · h-index 33

Impact in

Papers in

Peter T.‐H. Wong

107 papers receiving 3.7k citations

Peers

Peter T.‐H. Wong
Comparison fields: 5 of 132
  • Biochemistry 1.2k
  • Endocrine and Autonomic Systems 520
  • Biological Psychiatry 127
  • Behavioral Neuroscience 176
  • Cellular and Molecular Neuroscience 877
Replace Yun‐Beom Choi with:
Yun‐Beom Choi United States
Jun‐Ichiro Oka Japan
Ingeborg Hanbauer United States
Vladimír J. Balcar Australia
Jan Albrecht Poland
Huei‐Sheng Vincent Chen United States
Mats Sandberg Sweden
Christopher D. Ferris United States
Richard J. Bridges United States
Li‐Fang Hu China
Peter T.‐H. Wong relative to Yun‐Beom Choi United States Yun‐Beom Choi's profile →
Citations per field
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Yun‐Beom Choi · 1×
Citations per year

Countries citing papers authored by Peter T.‐H. Wong

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Peter T.‐H. Wong Line = papers co-authored together Peter T.‐H. Wong links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202029
2 202021
3 201922
4 20163
5 201514
6 201332
7 2012227
8 201114
9 201058
10 200934
11 200819
12 200654
13 200546
14 20057
15
Serotonin 5-HT2A receptor alterations in the postmortem neocortex of behaviorally assessed Alzheimer patients
20032
16 200315
17 20001
18 199714
19 199520
20 19911

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.

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