Garry Wong
- Aging top 0.5%
- Genetics, Aging, and Longevity in Model Organisms 28
- Developmental Neuroscience top 1%
-
- Neuroscience and Neuropharmacology Research 38
- Cancer Research top 2%
- MicroRNA in disease regulation 14
- Cancer-related molecular mechanisms research 10
- Biological Psychiatry top 5%
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- Gene expression and cancer classification 15
- Ion channel regulation and function 11
- Bioinformatics and Genomic Networks 11
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- Parkinson's Disease Mechanisms and Treatments 11
- Co-authors
- Eero ĊastrénMerja LaksoLiang ChenChangliang WangPetri TörönenHuiyan SunLiisa HeikkinenRichard Nass
- Journals
- Journal of Molecular Neuroscience (5 papers)BMC Bioinformatics (4 papers)Journal of Pharmacology and Experimental Therapeutics (4 papers)
- Partner nations
- FinlandUnited StatesMacao
In The Last Decade
Garry Wong
137 papers receiving 4.9k citations
Hit Papers
Peers
Comparison fields: 5 of 162
- Aging 519
- Developmental Neuroscience 366
- Cellular and Molecular Neuroscience 1.5k
- Cancer Research 875
- Biological Psychiatry 130
Countries citing papers authored by Garry Wong
This map shows the geographic impact of Garry 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 Garry Wong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Garry Wong more than expected).
Fields of papers citing papers by Garry Wong
This network shows the impact of papers produced by Garry 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 Garry Wong. The network helps show where Garry Wong may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Garry 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 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 2 | |
| 6 | 2023 | 13 | |
| 7 | 2022 | 11 | |
| 8 | 2021 | 16 | |
| 9 | The bioinformatics toolbox for circRNA discovery and analysisbreakdown → | 2020 | 266 |
| 10 | 2018 | 29 | |
| 11 | 2015 | 1 | |
| 12 | 2012 | 6 | |
| 13 | 2012 | 11 | |
| 14 | 2010 | 84 | |
| 15 | 2004 | 5 | |
| 16 | 2001 | 8 | |
| 17 | 2001 | 116 | |
| 18 | 1997 | 5 | |
| 19 | 1993 | 49 | |
| 20 | 1993 | 23 |
About Garry Wong
Garry Wong is a scholar working on Aging, Cellular and Molecular Neuroscience and Developmental Neuroscience, having authored 139 papers that have together received 5.1k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (38 papers), Genetics, Aging, and Longevity in Model Organisms (28 papers), Gene expression and cancer classification (15 papers), MicroRNA in disease regulation (14 papers), Ion channel regulation and function (11 papers), Parkinson's Disease Mechanisms and Treatments (11 papers), Bioinformatics and Genomic Networks (11 papers) and Cancer-related molecular mechanisms research (10 papers). The work is most often cited by research in Aging (519 citations), Developmental Neuroscience (366 citations) and Cellular and Molecular Neuroscience (1.5k citations). Garry Wong has collaborated with scholars based in Finland, United States and Macao. Frequent co-authors include Eero Ċastrén, Merja Lakso, Liang Chen, Changliang Wang, Petri Törönen, Huiyan Sun, Liisa Heikkinen, Richard Nass, Mikko Kolehmainen and Phil Skolnick. Their work appears in journals such as Journal of Molecular Neuroscience, BMC Bioinformatics, Journal of Pharmacology and Experimental Therapeutics, Journal of Biochemical and Molecular Toxicology and Molecular Pharmacology.
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.