Daniel Darnell
Impact in
- Agronomy and Crop Science top 2%
- Animal Disease Management and Epidemiology
- Epidemiology top 10%
- Influenza Virus Research Studies
- Respiratory viral infections research
Papers in
- Epidemiology 13
- Influenza Virus Research Studies 13
- Respiratory viral infections research 5
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- Animal Disease Management and Epidemiology 10
- Co-authors
- Richard J. Webby (13 shared papers)Adam Rubrum (6 shared papers)Marie Gramer (3 shared papers)James Lowe (3 shared papers)Evelyn Stigger-Rosser (3 shared papers)Ben M. Hause (1 shared paper)Randy R. Simonson (1 shared paper)David Wang (1 shared paper)
- Journals
- Emerging infectious diseases (5 papers)Journal of Virology (2 papers)Influenza and Other Respiratory Viruses (2 papers)mBio (1 paper)Antiviral Research (1 paper)
- Partner nations
- United StatesUgandaHungary
In The Last Decade
Daniel Darnell
15 papers receiving 431 citations
Peers
Comparison fields: 5 of 46
- Agronomy and Crop Science 252
- Epidemiology 380
- Infectious Diseases 166
- Animal Science and Zoology 48
- Modeling and Simulation 12
Countries citing papers authored by Daniel Darnell
This map shows the geographic impact of Daniel Darnell'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 Daniel Darnell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Darnell more than expected).
Fields of papers citing papers by Daniel Darnell
This network shows the impact of papers produced by Daniel Darnell. 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 Daniel Darnell. The network helps show where Daniel Darnell may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Darnell, 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 | 2011 | 159 | |
| 2 | 2012 | 56 | |
| 3 | 2017 | 43 | |
| 4 | 2012 | 29 | |
| 5 | 2015 | 26 | |
| 6 | 2017 | 22 | |
| 7 | 2019 | 17 | |
| 8 | 2015 | 17 | |
| 9 | 2012 | 16 | |
| 10 | 2011 | 14 | |
| 11 | 2015 | 12 | |
| 12 | 2015 | 11 | |
| 13 | 2012 | 10 | |
| 14 | 2023 | 3 | |
| 15 | Molecular characterization of influenza a viruses from swine for potential virulence markers | 2010 | 1 |
About Daniel Darnell
Daniel Darnell is a scholar working on Epidemiology, Agronomy and Crop Science, Infectious Diseases, Animal Science and Zoology and Surgery, having authored 15 papers that have together received 436 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (13 papers), Animal Disease Management and Epidemiology (10 papers), Respiratory viral infections research (5 papers), Viral gastroenteritis research and epidemiology (4 papers), Viral Infections and Vectors (3 papers), Animal Virus Infections Studies (2 papers), Fetal and Pediatric Neurological Disorders (1 paper) and Congenital gastrointestinal and neural anomalies (1 paper). The work is most often cited by research in Agronomy and Crop Science (252 citations), Epidemiology (380 citations), Infectious Diseases (166 citations), Animal Science and Zoology (48 citations) and Modeling and Simulation (12 citations). Daniel Darnell has collaborated with scholars based in United States, Uganda and Hungary. Frequent co-authors include Richard J. Webby, Adam Rubrum, Marie Gramer, James Lowe, Evelyn Stigger-Rosser, Ben M. Hause, Randy R. Simonson, David Wang, Mariette Ducatez and Ashley Webb. Their work appears in journals such as Emerging infectious diseases, Journal of Virology, Influenza and Other Respiratory Viruses, mBio and Antiviral Research.
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.