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
- SARS-CoV-2 detection and testing
- Animal Science and Zoology top 5%
- Animal Virus Infections Studies
Papers in
-
- Respiratory viral infections research 7
- Virology and Viral Diseases 5
-
- T-cell and Retrovirus Studies 3
- Co-authors
- Stefan Niewiesk (15 shared papers)Michael Oglesbee (1 shared paper)Matteo Porotto (5 shared papers)Anne Moscona (5 shared papers)Dillon S. McBride (1 shared paper)Rachel M. Tell (1 shared paper)Seth A. Faith (1 shared paper)Christopher Madden (1 shared paper)
- Journals
- Journal of Virology (2 papers)PLoS ONE (2 papers)Virus Research (1 paper)Scientific Reports (1 paper)Experimental Neurology (1 paper)
- Partner nations
- United StatesPortugalFrance
In The Last Decade
Devra Huey
18 papers receiving 575 citations
Devra Huey's Hit Papers
Peers
Comparison fields: 5 of 66
- Infectious Diseases 319
- Animal Science and Zoology 110
- Modeling and Simulation 33
- Virology 30
- Epidemiology 215
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 | 231 |
| 2 | 2011 | 69 | |
| 3 | 2017 | 43 | |
| 4 | 2014 | 43 | |
| 5 | 2016 | 38 | |
| 6 | 2013 | 30 | |
| 7 | 2018 | 24 | |
| 8 | 2016 | 18 | |
| 9 | Role of Wild-type and Recombinant Human T-cell Leukemia Viruses in Lymphoproliferative Disease in Humanized NSG Mice. | 2018 | 12 |
| 10 | 2015 | 12 | |
| 11 | 2017 | 12 | |
| 12 | 2018 | 12 | |
| 13 | 2014 | 9 | |
| 14 | 2024 | 8 | |
| 15 | 2021 | 8 | |
| 16 | 2014 | 6 | |
| 17 | 2023 | 5 | |
| 18 | 2023 | 3 |
About Devra Huey
Devra Huey is a scholar working on Epidemiology, Immunology, Infectious Diseases, Animal Science and Zoology and Molecular Biology, having authored 18 papers that have together received 583 indexed citations. Recurring topics across this work include Respiratory viral infections research (7 papers), Virology and Viral Diseases (5 papers), Animal Virus Infections Studies (4 papers), Viral gastroenteritis research and epidemiology (4 papers), Animal Disease Management and Epidemiology (3 papers), T-cell and Retrovirus Studies (3 papers), Vector-Borne Animal Diseases (3 papers) and Pluripotent Stem Cells Research (2 papers). The work is most often cited by research in Infectious Diseases (319 citations), Animal Science and Zoology (110 citations), Modeling and Simulation (33 citations), Virology (30 citations) and Epidemiology (215 citations). Devra Huey has collaborated with scholars based in United States, Portugal and France. Frequent co-authors include Stefan Niewiesk, Michael Oglesbee, Matteo Porotto, Anne Moscona, Dillon S. McBride, Rachel M. Tell, Seth A. Faith, Christopher Madden, Jennifer Grieser and Andrew S. Bowman. Their work appears in journals such as Journal of Virology, PLoS ONE, Virus Research, Scientific Reports and Experimental Neurology.
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.