Victoria Ng
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies 13
- Endocrinology top 5%
- Infectious Diseases top 5%
- Viral Infections and Vectors 10
- Microbiology top 5%
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- Mosquito-borne diseases and control 13
- Zoonotic diseases and public health 8
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- Data-Driven Disease Surveillance 6
- Influenza Virus Research Studies 4
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- Agriculture Sustainability and Environmental Impact 5
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- Animal Disease Management and Epidemiology 5
- Co-authors
- David N. FismanJan M. SargeantErin E. ReesAshleigh R. TuiteCaroline JohnsonNicholas H. OgdenLisa WaddellC. Victor Spain
- Journals
- SHILAP Revista de lepidopterología (1 paper)PLoS ONE (8 papers)American Journal of Epidemiology (1 paper)
- Partner nations
- CanadaUnited StatesAustralia
In The Last Decade
Victoria Ng
49 papers receiving 972 citations
Peers
Comparison fields: 5 of 122
- Modeling and Simulation 196
- Endocrinology 110
- Infectious Diseases 387
- Microbiology 88
- Public Health, Environmental and Occupational Health 328
Countries citing papers authored by Victoria Ng
This map shows the geographic impact of Victoria Ng'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 Victoria Ng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Victoria Ng more than expected).
Fields of papers citing papers by Victoria Ng
This network shows the impact of papers produced by Victoria Ng. 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 Victoria Ng. The network helps show where Victoria Ng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Victoria Ng, 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 | 2024 | 1 | |
| 3 | 2023 | 0 | |
| 4 | 2021 | 7 | |
| 5 | 2021 | 1 | |
| 6 | 2021 | 10 | |
| 7 | 2021 | 14 | |
| 8 | Temporal Histories of Epidemic Events (THEE): A Case Study in Temporal Annotation for Public Health | 2020 | 2 |
| 9 | 2020 | 23 | |
| 10 | 2020 | 40 | |
| 11 | 2020 | 19 | |
| 12 | 2019 | 21 | |
| 13 | 2018 | 26 | |
| 14 | 2017 | 20 | |
| 15 | 2014 | 21 | |
| 16 | 2010 | 59 | |
| 17 | 2010 | 45 | |
| 18 | 2009 | 54 | |
| 19 | 2009 | 30 | |
| 20 | 2009 | 24 |
About Victoria Ng
Victoria Ng is a scholar working on Modeling and Simulation, Endocrinology and Infectious Diseases, having authored 55 papers that have together received 1.0k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (13 papers), Mosquito-borne diseases and control (13 papers), Viral Infections and Vectors (10 papers), Zoonotic diseases and public health (8 papers), Data-Driven Disease Surveillance (6 papers), Agriculture Sustainability and Environmental Impact (5 papers), Animal Disease Management and Epidemiology (5 papers) and Influenza Virus Research Studies (4 papers). The work is most often cited by research in Modeling and Simulation (196 citations), Endocrinology (110 citations) and Infectious Diseases (387 citations). Victoria Ng has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include David N. Fisman, Jan M. Sargeant, Erin E. Rees, Ashleigh R. Tuite, Caroline Johnson, Nicholas H. Ogden, Lisa Waddell, C. Victor Spain, Laura M. Kinlin and Amy L. Greer. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and American Journal of Epidemiology.
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.