Brad J. Biggerstaff
- Infectious Diseases top 0.1%
- Viral Infections and Vectors 82
- SARS-CoV-2 and COVID-19 Research 11
- SARS-CoV-2 detection and testing 11
- Viral Infections and Outbreaks Research 10
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- Mosquito-borne diseases and control 82
- Malaria Research and Control 27
- Modeling and Simulation top 0.2%
- COVID-19 epidemiological studies 17
- Parasitology top 0.5%
- Vector-borne infectious diseases 27
- Insect Science top 1%
- Co-authors
- Lyle R. PetersenJohn P. FoxRobert S. LanciottiEdward B. HayesRichard L. TweedieOlga KosoyMarc FischerAmanda J. Panella
- Cited by
- Infectious DiseasesPublic Health, Environmental and Occupational HealthModeling and Simulation
- Journals
- New England Journal of Medicine (1 paper)The Lancet (1 paper)Journal of the American Statistical Association (1 paper)
- Partner nations
- United StatesPuerto RicoAustralia
In The Last Decade
Brad J. Biggerstaff
132 papers receiving 7.8k citations
Hit Papers
Peers
Comparison fields: 5 of 194
- Infectious Diseases 5.2k
- Public Health, Environmental and Occupational Health 5.8k
- Modeling and Simulation 744
- Parasitology 951
- Insect Science 563
Countries citing papers authored by Brad J. Biggerstaff
This map shows the geographic impact of Brad J. Biggerstaff'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 Brad J. Biggerstaff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brad J. Biggerstaff more than expected).
Fields of papers citing papers by Brad J. Biggerstaff
This network shows the impact of papers produced by Brad J. Biggerstaff. 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 Brad J. Biggerstaff. The network helps show where Brad J. Biggerstaff may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Brad J. Biggerstaff, 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 | 2024 | 4 | |
| 2 | 2024 | 8 | |
| 3 | 2023 | 8 | |
| 4 | 2022 | 0 | |
| 5 | 2021 | 10 | |
| 6 | 2021 | 6 | |
| 7 | 2021 | 1 | |
| 8 | 2020 | 9 | |
| 9 | 2016 | 15 | |
| 10 | 2016 | 27 | |
| 11 | 2012 | 124 | |
| 12 | 2012 | 17 | |
| 13 | 2011 | 17 | |
| 14 | 2006 | 70 | |
| 15 | 2005 | 69 | |
| 16 | 2005 | 17 | |
| 17 | 2004 | 194 | |
| 18 | 2002 | 136 | |
| 19 | 2001 | 15 | |
| 20 | 1996 | 37 |
About Brad J. Biggerstaff
Brad J. Biggerstaff is a scholar working on Infectious Diseases, Parasitology and Modeling and Simulation, having authored 136 papers that have together received 8.2k indexed citations. Recurring topics across this work include Viral Infections and Vectors (82 papers), Mosquito-borne diseases and control (82 papers), Vector-borne infectious diseases (27 papers), Malaria Research and Control (27 papers), COVID-19 epidemiological studies (17 papers), SARS-CoV-2 and COVID-19 Research (11 papers), SARS-CoV-2 detection and testing (11 papers) and Viral Infections and Outbreaks Research (10 papers). The work is most often cited by research in Infectious Diseases (5.2k citations), Public Health, Environmental and Occupational Health (5.8k citations) and Modeling and Simulation (744 citations). Brad J. Biggerstaff has collaborated with scholars based in United States, Puerto Rico and Australia. Frequent co-authors include Lyle R. Petersen, John P. Fox, Robert S. Lanciotti, Edward B. Hayes, Richard L. Tweedie, Olga Kosoy, Marc Fischer, Amanda J. Panella, Janeen Laven and Mark R. Duffy. Their work appears in journals such as New England Journal of Medicine, The Lancet and Journal of the American Statistical Association.
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.