Tak Pan Wong

7.8k citations
73 papers · 6.2k indexed · 3 hit papers · h-index 35

Tak Pan Wong

69 papers receiving 6.1k citations

Hit Papers

NMDA Receptor Subunits Have Differential Roles in Mediati...6562004202620112018250500750

Peers

Tak Pan Wong
Comparison fields: 5 of 126
  • Cellular and Molecular Neuroscience 3.9k
  • Biological Psychiatry 420
  • Developmental Neuroscience 692
  • Behavioral Neuroscience 593
  • Neurology 916
Replace Kobi Rosenblum with:
Kobi Rosenblum Israel
Vadim Y. Bolshakov United States
Kazuhiro Takuma Japan
Detlef Balschun Belgium
Steven Mennerick United States
Gregg E. Homanics United States
Satoshi Kida Japan
Fabrizio Gardoni Italy
Lidong Liu Canada
Dietmar Benke Switzerland
Tak Pan Wong relative to Kobi Rosenblum Israel Kobi Rosenblum's profile →
Citations per field
00.5×1.6×
Kobi Rosenblum · 1×
Citations per year

Countries citing papers authored by Tak Pan Wong

Since Specialization
Citations

This map shows the geographic impact of Tak Pan 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 Tak Pan Wong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tak Pan Wong more than expected).

Fields of papers citing papers by Tak Pan Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tak Pan 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 Tak Pan Wong. The network helps show where Tak Pan Wong may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Tak Pan 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 Tak Pan Wong Line = papers co-authored together Tak Pan Wong links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20234
3 20213
4 201943
5 20186
6 201822
7 201415
8 201387
9 201222
10 201227
11 201259
12 2011115
13 2007141
14
NMDA Receptor Subunits Have Differential Roles in Mediating Excitotoxic Neuronal Death BothIn VitroandIn Vivobreakdown →
2007656
15
LTP Inhibits LTD in the Hippocampus via Regulation of GSK3βbreakdown →
2007593
16 2006143
17 2004290
18
Role of NMDA Receptor Subtypes in Governing the Direction of Hippocampal Synaptic Plasticitybreakdown →
2004917
19 2001104
20 199846

About Tak Pan Wong

Tak Pan Wong is a scholar working on Behavioral Neuroscience, Biological Psychiatry and Cellular and Molecular Neuroscience, having authored 73 papers that have together received 6.2k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (45 papers), Memory and Neural Mechanisms (20 papers), Stress Responses and Cortisol (16 papers), Neuroinflammation and Neurodegeneration Mechanisms (13 papers), Neuroendocrine regulation and behavior (12 papers), Tryptophan and brain disorders (9 papers), Neural dynamics and brain function (8 papers) and Alzheimer's disease research and treatments (8 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (3.9k citations), Biological Psychiatry (420 citations) and Developmental Neuroscience (692 citations). Tak Pan Wong has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Yu Tian Wang, Lidong Liu, Jie Lu, Morgan Sheng, Dong Wu, Yushan Wang, A. Claudio Cuello, Yiu Chung Tse, Kurt Lingenhoehl and Mario F. Pozza. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences 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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