Tak Pan Wong
- Cellular and Molecular Neuroscience top 0.2%
- Molecular Biology top 2%
- Cognitive Neuroscience top 1%
- Physiology top 2%
- Neurology top 0.5%
- Topics
- Neuroscience and Neuropharmacology Research (45 papers)Memory and Neural Mechanisms (20 papers)Stress Responses and Cortisol (16 papers)
- Partner nations
- CanadaUnited StatesFrance
In The Last Decade
Tak Pan Wong
69 papers receiving 6.1k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Cellular and Molecular Neuroscience 3.9k
- Molecular Biology 2.6k
- Cognitive Neuroscience 1.4k
- Physiology 971
- Neurology 916
Countries citing papers authored by Tak Pan Wong
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
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 of co-authors of Tak Pan Wong
This figure shows the co-authorship network connecting the top 25 collaborators of Tak Pan Wong. A scholar is included among the top collaborators of Tak Pan Wong based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tak Pan Wong. Tak Pan Wong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 3 | |
| 4 | 43 | |
| 5 | 6 | |
| 6 | 22 | |
| 7 | 15 | |
| 8 | 87 | |
| 9 | 22 | |
| 10 | 27 | |
| 11 | 59 | |
| 12 | 115 | |
| 13 | 141 | |
| 14 | NMDA Receptor Subunits Have Differential Roles in Mediating Excitotoxic Neuronal Death BothIn VitroandIn Vivobreakdown → | 656 |
| 15 | LTP Inhibits LTD in the Hippocampus via Regulation of GSK3βbreakdown → | 593 |
| 16 | 143 | |
| 17 | 290 | |
| 18 | Role of NMDA Receptor Subtypes in Governing the Direction of Hippocampal Synaptic Plasticitybreakdown → | 917 |
| 19 | 104 | |
| 20 | 46 |
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) and Stress Responses and Cortisol (16 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.