Sean Hui
Impact in
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- Viral Infections and Outbreaks Research
- Viral Infections and Vectors
- Viral gastroenteritis research and epidemiology
- SARS-CoV-2 and COVID-19 Research
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- Hepatitis B Virus Studies
- Influenza Virus Research Studies
Papers in
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- Viral Infections and Outbreaks Research 7
- Viral Infections and Vectors 5
- Viral gastroenteritis research and epidemiology 2
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- Hepatitis B Virus Studies 4
- Influenza Virus Research Studies 2
- Co-authors
- Erica Ollmann Saphire (6 shared papers)Crystal L. Moyer (3 shared papers)Liam King (2 shared papers)Marnie L. Fusco (2 shared papers)Jacob C. Milligan (1 shared paper)Kai Huang (2 shared papers)Alexander Bukreyev (2 shared papers)Philipp A. Ilinykh (2 shared papers)
- Journals
- Nature Communications (1 paper)Cell Reports (1 paper)Nature Structural & Molecular Biology (1 paper)Cell (1 paper)PLoS neglected tropical diseases (1 paper)
- Partner nations
- United StatesDemocratic Republic of the CongoNetherlands
In The Last Decade
Sean Hui
8 papers receiving 102 citations
Peers
Comparison fields: 5 of 19
- Infectious Diseases 83
- Epidemiology 47
- Modeling and Simulation 3
- Molecular Biology 21
- Immunology 6
Countries citing papers authored by Sean Hui
This map shows the geographic impact of Sean Hui'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 Sean Hui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sean Hui more than expected).
Fields of papers citing papers by Sean Hui
This network shows the impact of papers produced by Sean Hui. 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 Sean Hui. The network helps show where Sean Hui may publish in the future.
Co-authors
The 25 scholars most cited alongside Sean Hui, 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 | 2018 | 26 | |
| 2 | 2019 | 26 | |
| 3 | 2019 | 20 | |
| 4 | 2022 | 19 | |
| 5 | 2022 | 7 | |
| 6 | 2023 | 3 | |
| 7 | 2025 | 2 | |
| 8 | 2025 | 2 |
About Sean Hui
Sean Hui is a scholar working on Infectious Diseases, Epidemiology, Public Health, Environmental and Occupational Health, Organic Chemistry and Surgery, having authored 8 papers that have together received 105 indexed citations. Recurring topics across this work include Viral Infections and Outbreaks Research (7 papers), Viral Infections and Vectors (5 papers), Hepatitis B Virus Studies (4 papers), Viral gastroenteritis research and epidemiology (2 papers), Influenza Virus Research Studies (2 papers) and Mosquito-borne diseases and control (1 paper). The work is most often cited by research in Infectious Diseases (83 citations), Epidemiology (47 citations), Modeling and Simulation (3 citations), Molecular Biology (21 citations) and Immunology (6 citations). Sean Hui has collaborated with scholars based in United States, Democratic Republic of the Congo and Netherlands. Frequent co-authors include Erica Ollmann Saphire, Crystal L. Moyer, Liam King, Marnie L. Fusco, Jacob C. Milligan, Kai Huang, Alexander Bukreyev, Philipp A. Ilinykh, Diptiben Parekh and Matti F. Pronker. Their work appears in journals such as Nature Communications, Cell Reports, Nature Structural & Molecular Biology, Cell and PLoS neglected tropical 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.