Wayne Woo
Impact in
- Gastroenterology top 10%
- Celiac Disease Research and Management
- Dermatology top 10%
- Dermatology and Skin Diseases
Papers in
-
- SARS-CoV-2 and COVID-19 Research 8
- COVID-19 Clinical Research Studies 1
- SARS-CoV-2 detection and testing 1
-
- Influenza Virus Research Studies 2
- Co-authors
- Kevin E. McKenna (1 shared paper)S A McMillan (1 shared paper)W. Glenn McCluggage (1 shared paper)R. G. P. Watson (1 shared paper)J. Mark Sloan (1 shared paper)Timothy H. Rainer (1 shared paper)Kevin Kei Ching Hung (1 shared paper)Giles N. Cattermole (1 shared paper)
- Journals
- Open Forum Infectious Diseases (3 papers)British Journal of Dermatology (2 papers)Vaccine (2 papers)Expert Review of Vaccines (1 paper)Clinical Infectious Diseases (1 paper)
- Partner nations
- United StatesUnited KingdomBelgium
In The Last Decade
Wayne Woo
11 papers receiving 179 citations
Peers
Comparison fields: 5 of 55
- Gastroenterology 31
- Dermatology 35
- Immunology 68
- Infectious Diseases 42
- Epidemiology 46
Countries citing papers authored by Wayne Woo
This map shows the geographic impact of Wayne Woo'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 Wayne Woo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wayne Woo more than expected).
Fields of papers citing papers by Wayne Woo
This network shows the impact of papers produced by Wayne Woo. 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 Wayne Woo. The network helps show where Wayne Woo may publish in the future.
Co-authors
The 25 scholars most cited alongside Wayne Woo, 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 | 2004 | 53 | |
| 2 | 2003 | 44 | |
| 3 | 2018 | 23 | |
| 4 | 2023 | 22 | |
| 5 | 2020 | 14 | |
| 6 | 2023 | 12 | |
| 7 | 2021 | 7 | |
| 8 | 2024 | 5 | |
| 9 | 2023 | 4 | |
| 10 | 2022 | 3 | |
| 11 | 2022 | 2 | |
| 12 | 2025 | 0 | |
| 13 | 2023 | 0 |
About Wayne Woo
Wayne Woo is a scholar working on Infectious Diseases, Epidemiology, Molecular Biology, Health and Immunology, having authored 13 papers that have together received 189 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (8 papers), Vaccine Coverage and Hesitancy (2 papers), Influenza Virus Research Studies (2 papers), vaccines and immunoinformatics approaches (2 papers), Celiac Disease Research and Management (1 paper), COVID-19 Clinical Research Studies (1 paper), SARS-CoV-2 detection and testing (1 paper) and Immunotherapy and Immune Responses (1 paper). The work is most often cited by research in Gastroenterology (31 citations), Dermatology (35 citations), Immunology (68 citations), Infectious Diseases (42 citations) and Epidemiology (46 citations). Wayne Woo has collaborated with scholars based in United States, United Kingdom and Belgium. Frequent co-authors include Kevin E. McKenna, S A McMillan, W. Glenn McCluggage, R. G. P. Watson, J. Mark Sloan, Timothy H. Rainer, Kevin Kei Ching Hung, Giles N. Cattermole, Colin A. Graham and Ling Yan Leung. Their work appears in journals such as Open Forum Infectious Diseases, British Journal of Dermatology, Vaccine, Expert Review of Vaccines and Clinical Infectious Diseases.
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.