Michael Wong
- Cellular and Molecular Neuroscience top 0.5%
- Neuroscience and Neuropharmacology Research 35
- Physiology top 0.5%
- Tuberous Sclerosis Complex Research 58
- Psychiatry and Mental health top 0.5%
- Epilepsy research and treatment 21
- Developmental Neuroscience top 1%
- Behavioral Neuroscience top 2%
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- PI3K/AKT/mTOR signaling in cancer 15
- Ion channel regulation and function 15
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- Polyomavirus and related diseases 14
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- Genetics and Neurodevelopmental Disorders 11
- Genetic and Kidney Cyst Diseases 11
- Co-authors
- Nicholas RensingLinghui ZengKelvin A. YamadaDavid H. GutmannLin XuSharon S. McDanielLiu Lin ThioRobert L. Moss
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Michael Wong
148 papers receiving 7.5k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Cellular and Molecular Neuroscience 2.3k
- Physiology 2.6k
- Psychiatry and Mental health 1.4k
- Developmental Neuroscience 368
- Behavioral Neuroscience 207
Countries citing papers authored by Michael Wong
This map shows the geographic impact of Michael 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 Michael Wong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Wong more than expected).
Fields of papers citing papers by Michael Wong
This network shows the impact of papers produced by Michael 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 Michael Wong. The network helps show where Michael Wong may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael 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 | 2025 | 2 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 23 | |
| 6 | 2024 | 3 | |
| 7 | 2023 | 5 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 11 | |
| 10 | 2023 | 5 | |
| 11 | 2022 | 10 | |
| 12 | 2022 | 1 | |
| 13 | 2021 | 33 | |
| 14 | 2020 | 75 | |
| 15 | 2020 | 13 | |
| 16 | 2019 | 37 | |
| 17 | 2019 | 24 | |
| 18 | 2019 | 5 | |
| 19 | 2018 | 31 | |
| 20 | 2011 | 32 |
About Michael Wong
Michael Wong is a scholar working on Physiology, Cellular and Molecular Neuroscience, Psychiatry and Mental health, Applied Microbiology and Biotechnology and Genetics, having authored 151 papers that have together received 7.6k indexed citations. Recurring topics across this work include Tuberous Sclerosis Complex Research (58 papers), Neuroscience and Neuropharmacology Research (35 papers), Epilepsy research and treatment (21 papers), PI3K/AKT/mTOR signaling in cancer (15 papers), Ion channel regulation and function (15 papers), Polyomavirus and related diseases (14 papers), Genetics and Neurodevelopmental Disorders (11 papers) and Genetic and Kidney Cyst Diseases (11 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.3k citations), Physiology (2.6k citations), Psychiatry and Mental health (1.4k citations), Developmental Neuroscience (368 citations) and Behavioral Neuroscience (207 citations). Michael Wong has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Nicholas Rensing, Linghui Zeng, Kelvin A. Yamada, David H. Gutmann, Lin Xu, Sharon S. McDaniel, Liu Lin Thio, Robert L. Moss, Bo Zhang and Dongjun Guo. Their work appears in journals such as Epilepsia, Epiliepsy currents, Neurobiology of Disease, Journal of Neuroscience and PLoS ONE.
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.