Brett Sutton
Impact in
- Parasitology top 5%
- Vector-borne infectious diseases
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in ⓘ
-
- Viral gastroenteritis research and epidemiology 2
-
- Influenza Virus Research Studies 5
- Co-authors
- Katherine Bond (3 shared papers)Simon M. Firestone (3 shared papers)Lucinda Franklin (3 shared papers)Andrew A. Lover (1 shared paper)Annelies Wilder‐Smith (1 shared paper)Nicola Stephens (3 shared papers)Mary Valcanis (2 shared papers)Allen Cheng (5 shared papers)
- Journals
- The Medical Journal of Australia (4 papers)Clinical Infectious Diseases (2 papers)BMC Public Health (2 papers)The Lancet Regional Health - Western Pacific (2 papers)PLoS Currents (1 paper)
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
Brett Sutton
28 papers receiving 446 citations
Peers
Comparison fields: 5 of 87
- Parasitology 94
- Modeling and Simulation 58
- Endocrinology 45
- Infectious Diseases 127
- Health 47
Countries citing papers authored by Brett Sutton
This map shows the geographic impact of Brett Sutton'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 Brett Sutton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brett Sutton more than expected).
Fields of papers citing papers by Brett Sutton
This network shows the impact of papers produced by Brett Sutton. 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 Brett Sutton. The network helps show where Brett Sutton may publish in the future.
Co-authors
The 25 scholars most cited alongside Brett Sutton, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 68 | |
| 2 | 2021 | 56 | |
| 3 | 2017 | 39 | |
| 4 | 2011 | 38 | |
| 5 | 2019 | 36 | |
| 6 | 2015 | 29 | |
| 7 | 2014 | 26 | |
| 8 | 2020 | 22 | |
| 9 | 2021 | 19 | |
| 10 | 2017 | 18 | |
| 11 | 2001 | 18 | |
| 12 | 2018 | 14 | |
| 13 | 2023 | 12 | |
| 14 | 2023 | 10 | |
| 15 | 2024 | 10 | |
| 16 | 2020 | 9 | |
| 17 | 2022 | 6 | |
| 18 | 2023 | 5 | |
| 19 | 2020 | 5 | |
| 20 | 2014 | 4 |
About Brett Sutton
Brett Sutton is a scholar working on Infectious Diseases, Epidemiology, Modeling and Simulation, Public Health, Environmental and Occupational Health and Health, having authored 31 papers that have together received 461 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (8 papers), Influenza Virus Research Studies (5 papers), Vaccine Coverage and Hesitancy (3 papers), Vector-Borne Animal Diseases (3 papers), Vector-borne infectious diseases (3 papers), COVID-19 and Mental Health (3 papers), Zoonotic diseases and public health (2 papers) and Viral gastroenteritis research and epidemiology (2 papers). The work is most often cited by research in Parasitology (94 citations), Modeling and Simulation (58 citations), Endocrinology (45 citations), Infectious Diseases (127 citations) and Health (47 citations). Brett Sutton has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Katherine Bond, Simon M. Firestone, Lucinda Franklin, Andrew A. Lover, Annelies Wilder‐Smith, Nicola Stephens, Mary Valcanis, Allen Cheng, Richard A. Powell and Mila Petrova. Their work appears in journals such as The Medical Journal of Australia, Clinical Infectious Diseases, BMC Public Health, The Lancet Regional Health - Western Pacific and PLoS Currents.
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.