Virginia Wong
- Cognitive Neuroscience top 5%
- Psychiatry and Mental health top 5%
- Genetics top 5%
- Molecular Biology
- Neurology top 10%
- Co-authors
- Brian Hon‐Yin ChungDaniel KL CheukPatrick IpSik Nin WongIngo KennerknechtM. HoWilfred Hing Sang WongWen‐Xiong Chen
- Topics
- Autism Spectrum Disorder Research (7 papers)Neurogenetic and Muscular Disorders Research (6 papers)RNA modifications and cancer (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaPEDIATRICSCochrane Database of Systematic Reviews
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Virginia Wong
38 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 109
- Cognitive Neuroscience 302
- Psychiatry and Mental health 252
- Genetics 200
- Molecular Biology 168
- Neurology 162
Countries citing papers authored by Virginia Wong
This map shows the geographic impact of Virginia 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 Virginia Wong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Virginia Wong more than expected).
Fields of papers citing papers by Virginia Wong
This network shows the impact of papers produced by Virginia 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 Virginia Wong. The network helps show where Virginia Wong may publish in the future.
Co-authorship network of co-authors of Virginia Wong
This figure shows the co-authorship network connecting the top 25 collaborators of Virginia Wong. A scholar is included among the top collaborators of Virginia 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 Virginia Wong. Virginia 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 | 16 | |
| 2 | 24 | |
| 3 | 15 | |
| 4 | 78 | |
| 5 | 3 | |
| 6 | 69 | |
| 7 | 41 | |
| 8 | 21 | |
| 9 | 23 | |
| 10 | 19 | |
| 11 | 18 | |
| 12 | 31 | |
| 13 | Valproate-induced Hyperammonemic Encephalopathy : Survey of Public Awareness, Attitudes, and Understanding toward Epilepsy in Hong Kong | 1 |
| 14 | 44 | |
| 15 | 12 | |
| 16 | 5 | |
| 17 | 5 | |
| 18 | 5 | |
| 19 | 64 | |
| 20 | 26 |
About Virginia Wong
Virginia Wong is a scholar working on Psychiatry and Mental health, Cognitive Neuroscience and Genetics, having authored 38 papers that have together received 1.1k indexed citations. Recurring topics across this work include Autism Spectrum Disorder Research (7 papers), Neurogenetic and Muscular Disorders Research (6 papers) and RNA modifications and cancer (6 papers). The work is most often cited by research in Genetics (200 citations), Psychiatry and Mental health (252 citations) and Cognitive Neuroscience (302 citations). Virginia Wong has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Brian Hon‐Yin Chung, Daniel KL Cheuk, Patrick Ip, Sik Nin Wong, Ingo Kennerknecht, M. Ho, Wilfred Hing Sang Wong, Wen‐Xiong Chen, Joseph Lee and Xinhua Bao. Their work appears in journals such as SHILAP Revista de lepidopterología, PEDIATRICS and Cochrane Database of Systematic Reviews.
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.