Patrick Wong
Impact in
- Virology top 5%
- HIV Research and Treatment
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
Papers in
-
- Immune Cell Function and Interaction 5
- Immunotherapy and Immune Responses 4
- T-cell and B-cell Immunology 3
- Immune Response and Inflammation 3
- Co-authors
- Akiko Iwasaki (8 shared papers)Laura J. Yockey (2 shared papers)Eric Song (2 shared papers)Tasfia Rakib (2 shared papers)Robert Homer (1 shared paper)Eriko Kudo (1 shared paper)George E. Lewis (2 shared papers)Daryl J. Kelly (2 shared papers)
- Journals
- Science Immunology (2 papers)Nature Microbiology (2 papers)American Journal of Tropical Medicine and Hygiene (2 papers)eLife (1 paper)Science Signaling (1 paper)
- Partner nations
- United StatesHong KongMalaysia
In The Last Decade
Patrick Wong
16 papers receiving 922 citations
Peers
Comparison fields: 5 of 108
- Virology 149
- Modeling and Simulation 106
- Infectious Diseases 290
- Immunology 279
- Parasitology 84
Countries citing papers authored by Patrick Wong
This map shows the geographic impact of Patrick 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 Patrick Wong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Wong more than expected).
Fields of papers citing papers by Patrick Wong
This network shows the impact of papers produced by Patrick 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 Patrick Wong. The network helps show where Patrick Wong may publish in the future.
Co-authors
The 25 scholars most cited alongside Patrick 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 | 2019 | 235 | |
| 2 | 2021 | 132 | |
| 3 | 2015 | 94 | |
| 4 | 2017 | 94 | |
| 5 | 2015 | 93 | |
| 6 | 1988 | 65 | |
| 7 | 2021 | 63 | |
| 8 | 2018 | 60 | |
| 9 | 2016 | 40 | |
| 10 | 1990 | 27 | |
| 11 | 2019 | 22 | |
| 12 | 2017 | 4 | |
| 13 | 2023 | 4 | |
| 14 | 2021 | 3 | |
| 15 | 2010 | 2 | |
| 16 | 2010 | 1 |
About Patrick Wong
Patrick Wong is a scholar working on Immunology, Epidemiology, Public Health, Environmental and Occupational Health, Information Systems and Media Technology, having authored 16 papers that have together received 939 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (5 papers), Immunotherapy and Immune Responses (4 papers), T-cell and B-cell Immunology (3 papers), Mosquito-borne diseases and control (3 papers), Immune Response and Inflammation (3 papers), RFID technology advancements (2 papers), Leptospirosis research and findings (2 papers) and Vector-borne infectious diseases (2 papers). The work is most often cited by research in Virology (149 citations), Modeling and Simulation (106 citations), Infectious Diseases (290 citations), Immunology (279 citations) and Parasitology (84 citations). Patrick Wong has collaborated with scholars based in United States, Hong Kong and Malaysia. Frequent co-authors include Akiko Iwasaki, Laura J. Yockey, Eric Song, Tasfia Rakib, Robert Homer, Eriko Kudo, George E. Lewis, Daryl J. Kelly, Rebecca M. Lynch and John R. Mascola. Their work appears in journals such as Science Immunology, Nature Microbiology, American Journal of Tropical Medicine and Hygiene, eLife and Science Signaling.
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.