Justin D. Brown
Impact in
- Agronomy and Crop Science top 0.2%
- Animal Disease Management and Epidemiology
- Infectious Diseases top 0.5%
- Viral Infections and Vectors
- Viral gastroenteritis research and epidemiology
Papers in
- Parasitology 36
- Bird parasitology and diseases 15
-
- Animal Disease Management and Epidemiology 50
- Co-authors
- David E. StallknechtDavid E. SwayneRebecca L. PoulsonMichael J. YabsleyRachel E. BurnsTaiana CostaRobert J. CooperJonathan M. Sleeman
- Journals
- Journal of Wildlife Diseases (31 papers)Avian Diseases (14 papers)PLoS ONE (7 papers)Veterinary Parasitology Regional Studies and Reports (6 papers)International Journal for Parasitology Parasites and Wildlife (5 papers)
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
Justin D. Brown
153 papers receiving 3.9k citations
Peers
Comparison fields: 5 of 123
- Agronomy and Crop Science 1.6k
- Infectious Diseases 2.1k
- Epidemiology 2.4k
- Modeling and Simulation 248
- Parasitology 334
Countries citing papers authored by Justin D. Brown
This map shows the geographic impact of Justin D. Brown'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 Justin D. Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Justin D. Brown more than expected).
Fields of papers citing papers by Justin D. Brown
This network shows the impact of papers produced by Justin D. Brown. 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 Justin D. Brown. The network helps show where Justin D. Brown may publish in the future.
Co-authors
The 25 scholars most cited alongside Justin D. Brown, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 5 | |
| 8 | 2022 | 7 | |
| 9 | 2021 | 7 | |
| 10 | 2018 | 18 | |
| 11 | 2017 | 21 | |
| 12 | 2016 | 17 | |
| 13 | 2015 | 18 | |
| 14 | 2015 | 22 | |
| 15 | 2014 | 12 | |
| 16 | 2013 | 32 | |
| 17 | 2012 | 110 | |
| 18 | 2010 | 50 | |
| 19 | 2008 | 6 | |
| 20 | 2006 | 9 |
About Justin D. Brown
Justin D. Brown is a scholar working on Parasitology, Agronomy and Crop Science, Infectious Diseases, Virology and Epidemiology, having authored 158 papers that have together received 4.0k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (59 papers), Viral Infections and Vectors (51 papers), Animal Disease Management and Epidemiology (50 papers), Respiratory viral infections research (21 papers), Animal Virus Infections Studies (17 papers), Bird parasitology and diseases (15 papers), Herpesvirus Infections and Treatments (15 papers) and Dermatological diseases and infestations (12 papers). The work is most often cited by research in Agronomy and Crop Science (1.6k citations), Infectious Diseases (2.1k citations), Epidemiology (2.4k citations), Modeling and Simulation (248 citations) and Parasitology (334 citations). Justin D. Brown has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include David E. Stallknecht, David E. Swayne, Rebecca L. Poulson, Michael J. Yabsley, Rachel E. Burns, Taiana Costa, Robert J. Cooper, Jonathan M. Sleeman, Joan R. Beck and David L. Suarez. Their work appears in journals such as Journal of Wildlife Diseases, Avian Diseases, PLoS ONE, Veterinary Parasitology Regional Studies and Reports and International Journal for Parasitology Parasites and Wildlife.
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.