Billy J. Quilty
Impact in
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
Papers in
-
- SARS-CoV-2 and COVID-19 Research 4
- SARS-CoV-2 detection and testing 2
-
- Influenza Virus Research Studies 4
- Data-Driven Disease Surveillance 2
- Pneumonia and Respiratory Infections 2
- Co-authors
- Stefan Flasche (8 shared papers)Rosalind M. Eggo (3 shared papers)Sam Clifford (1 shared paper)Samuel Clifford (5 shared papers)Robert W. Jackson (1 shared paper)Jeroen Wagemans (1 shared paper)Shyamali Roy (1 shared paper)Mojgan Rabiey (1 shared paper)
- Journals
- Eurosurveillance (2 papers)BMC Medicine (1 paper)International Journal of Infectious Diseases (1 paper)Human Vaccines & Immunotherapeutics (1 paper)Journal of Travel Medicine (1 paper)
- Partner nations
- United KingdomBelgiumGermany
In The Last Decade
Billy J. Quilty
15 papers receiving 434 citations
Peers
Comparison fields: 5 of 79
- Modeling and Simulation 194
- Infectious Diseases 137
- General Dentistry 4
- Economics and Econometrics 72
- Health 19
Countries citing papers authored by Billy J. Quilty
This map shows the geographic impact of Billy J. Quilty'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 Billy J. Quilty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Billy J. Quilty more than expected).
Fields of papers citing papers by Billy J. Quilty
This network shows the impact of papers produced by Billy J. Quilty. 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 Billy J. Quilty. The network helps show where Billy J. Quilty may publish in the future.
Co-authors
The 25 scholars most cited alongside Billy J. Quilty, 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 | 2020 | 210 | |
| 2 | 2020 | 73 | |
| 3 | 2020 | 35 | |
| 4 | 2022 | 28 | |
| 5 | 2022 | 22 | |
| 6 | 2021 | 21 | |
| 7 | 2022 | 15 | |
| 8 | 2021 | 12 | |
| 9 | 2022 | 12 | |
| 10 | 2022 | 8 | |
| 11 | 2022 | 6 | |
| 12 | 2024 | 5 | |
| 13 | 2024 | 3 | |
| 14 | 2024 | 1 | |
| 15 | 2021 | 1 | |
| 16 | 2025 | 0 | |
| 17 | 2024 | 0 |
About Billy J. Quilty
Billy J. Quilty is a scholar working on Infectious Diseases, Epidemiology, Modeling and Simulation, Health and Ecology, having authored 17 papers that have together received 452 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (5 papers), Influenza Virus Research Studies (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Vaccine Coverage and Hesitancy (2 papers), SARS-CoV-2 detection and testing (2 papers), Data-Driven Disease Surveillance (2 papers), Pneumonia and Respiratory Infections (2 papers) and Toxin Mechanisms and Immunotoxins (1 paper). The work is most often cited by research in Modeling and Simulation (194 citations), Infectious Diseases (137 citations), General Dentistry (4 citations), Economics and Econometrics (72 citations) and Health (19 citations). Billy J. Quilty has collaborated with scholars based in United Kingdom, Belgium and Germany. Frequent co-authors include Stefan Flasche, Rosalind M. Eggo, Sam Clifford, Samuel Clifford, Robert W. Jackson, Jeroen Wagemans, Shyamali Roy, Mojgan Rabiey, Dominique Holtappels and Rob Lavigne. Their work appears in journals such as Eurosurveillance, BMC Medicine, International Journal of Infectious Diseases, Human Vaccines & Immunotherapeutics and Journal of Travel Medicine.
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.