Devra Huey
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- Viral gastroenteritis research and epidemiology
- COVID-19 Clinical Research Studies
- Animal Science and Zoology top 5%
- Animal Virus Infections Studies
Papers in
-
- Virology and Viral Diseases 5
- Respiratory viral infections research 5
-
- T-cell and Retrovirus Studies 3
- Co-authors
- Stefan Niewiesk (15 shared papers)Michael Oglesbee (1 shared paper)Anne Moscona (5 shared papers)Matteo Porotto (5 shared papers)Jacqueline M. Nolting (1 shared paper)Martha I. Nelson (1 shared paper)Andrew S. Bowman (2 shared papers)Mia Kim Torchetti (1 shared paper)
- Journals
- Journal of Virology (2 papers)PLoS ONE (2 papers)Blood (1 paper)Oncotarget (1 paper)mBio (1 paper)
- Partner nations
- United StatesPortugalFrance
In The Last Decade
Devra Huey
18 papers receiving 606 citations
Devra Huey's Hit Papers
Peers
Comparison fields: 5 of 66
- Infectious Diseases 314
- Animal Science and Zoology 102
- Modeling and Simulation 33
- Epidemiology 217
- Virology 24
Countries citing papers authored by Devra Huey
This map shows the geographic impact of Devra Huey'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 Devra Huey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Devra Huey more than expected).
Fields of papers citing papers by Devra Huey
This network shows the impact of papers produced by Devra Huey. 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 Devra Huey. The network helps show where Devra Huey may publish in the future.
Co-authors
The 25 scholars most cited alongside Devra Huey, 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 | SARS-CoV-2 infection in free-ranging white-tailed deer Hit paper breakdown → | 2021 | 240 |
| 2 | 2011 | 75 | |
| 3 | 2017 | 46 | |
| 4 | 2014 | 44 | |
| 5 | 2016 | 38 | |
| 6 | 2013 | 33 | |
| 7 | 2018 | 29 | |
| 8 | 2016 | 22 | |
| 9 | 2018 | 13 | |
| 10 | Role of Wild-type and Recombinant Human T-cell Leukemia Viruses in Lymphoproliferative Disease in Humanized NSG Mice. | 2018 | 13 |
| 11 | 2015 | 12 | |
| 12 | 2017 | 12 | |
| 13 | 2024 | 9 | |
| 14 | 2014 | 9 | |
| 15 | 2021 | 8 | |
| 16 | 2014 | 7 | |
| 17 | 2023 | 6 | |
| 18 | 2023 | 3 | |
| 19 | 2026 | 0 |
About Devra Huey
Devra Huey is a scholar working on Epidemiology, Immunology, Infectious Diseases, Molecular Biology and Ecology, Evolution, Behavior and Systematics, having authored 19 papers that have together received 619 indexed citations. Recurring topics across this work include Virology and Viral Diseases (5 papers), Respiratory viral infections research (5 papers), Viral gastroenteritis research and epidemiology (4 papers), Animal Disease Management and Epidemiology (3 papers), Vector-Borne Animal Diseases (3 papers), T-cell and Retrovirus Studies (3 papers), Animal Virus Infections Studies (3 papers) and Pluripotent Stem Cells Research (2 papers). The work is most often cited by research in Infectious Diseases (314 citations), Animal Science and Zoology (102 citations), Modeling and Simulation (33 citations), Epidemiology (217 citations) and Virology (24 citations). Devra Huey has collaborated with scholars based in United States, Portugal and France. Frequent co-authors include Stefan Niewiesk, Michael Oglesbee, Anne Moscona, Matteo Porotto, Jacqueline M. Nolting, Martha I. Nelson, Andrew S. Bowman, Mia Kim Torchetti, Kristina Lantz and Patricia M. Dennis. Their work appears in journals such as Journal of Virology, PLoS ONE, Blood, Oncotarget and mBio.
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.