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
- Viral Infections and Outbreaks Research
Papers in
-
- SARS-CoV-2 and COVID-19 Research 5
- Viral Infections and Outbreaks Research 2
-
- Influenza Virus Research Studies 5
- Respiratory viral infections research 4
- Pneumonia and Respiratory Infections 2
- Co-authors
- Stefan Flasche (8 shared papers)Rosalind M. Eggo (3 shared papers)Samuel Clifford (5 shared papers)Rob Lavigne (1 shared paper)Dominique Holtappels (1 shared paper)Robert W. Jackson (1 shared paper)Mojgan Rabiey (1 shared paper)Shyamali Roy (1 shared paper)
- Journals
- Eurosurveillance (2 papers)PLoS Medicine (1 paper)Human Vaccines & Immunotherapeutics (1 paper)Microbial Biotechnology (1 paper)BMC Medicine (1 paper)
- Partner nations
- United KingdomBelgiumGermany
In The Last Decade
Billy J. Quilty
15 papers receiving 413 citations
Peers
Comparison fields: 5 of 84
- Modeling and Simulation 229
- Infectious Diseases 172
- Economics and Econometrics 95
- Health 29
- General Dentistry 5
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 | 207 | |
| 2 | 2020 | 68 | |
| 3 | 2020 | 34 | |
| 4 | 2022 | 24 | |
| 5 | 2022 | 20 | |
| 6 | 2021 | 18 | |
| 7 | 2022 | 14 | |
| 8 | 2022 | 12 | |
| 9 | 2021 | 12 | |
| 10 | 2022 | 7 | |
| 11 | 2024 | 5 | |
| 12 | 2022 | 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 Economics and Econometrics, having authored 17 papers that have together received 431 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Influenza Virus Research Studies (5 papers), Vaccine Coverage and Hesitancy (4 papers), Respiratory viral infections research (4 papers), Pneumonia and Respiratory Infections (2 papers), Viral Infections and Outbreaks Research (2 papers) and COVID-19 Pandemic Impacts (2 papers). The work is most often cited by research in Modeling and Simulation (229 citations), Infectious Diseases (172 citations), Economics and Econometrics (95 citations), Health (29 citations) and General Dentistry (5 citations). Billy J. Quilty has collaborated with scholars based in United Kingdom, Belgium and Germany. Frequent co-authors include Stefan Flasche, Rosalind M. Eggo, Samuel Clifford, Rob Lavigne, Dominique Holtappels, Robert W. Jackson, Mojgan Rabiey, Shyamali Roy, George W. Sundin and Jeroen Wagemans. Their work appears in journals such as Eurosurveillance, PLoS Medicine, Human Vaccines & Immunotherapeutics, Microbial Biotechnology and BMC 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.