Daniel Darnell
Impact in
- Epidemiology top 5%
- Influenza Virus Research Studies
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
Papers in
- Epidemiology 14
- Influenza Virus Research Studies 14
-
- Neurogenesis and neuroplasticity mechanisms 1
- Co-authors
- Richard J. Webby (13 shared papers)Adam M. Rubrum (6 shared papers)Marie René Gramer (3 shared papers)Jim Lowe (3 shared papers)Jeri Carol Crumpton (3 shared papers)Evelyn Stigger-Rosser (3 shared papers)Mariette Ducatez (2 shared papers)Randy R. Simonson (1 shared paper)
- Journals
- Emerging infectious diseases (5 papers)Influenza and Other Respiratory Viruses (2 papers)Journal of Virology (2 papers)Antiviral Research (1 paper)Emerging Microbes & Infections (1 paper)
- Partner nations
- United StatesUgandaNew Zealand
In The Last Decade
Daniel Darnell
17 papers receiving 623 citations
Daniel Darnell's Hit Papers
Peers
Comparison fields: 5 of 43
- Epidemiology 411
- Infectious Diseases 126
- Immunology 33
- Animal Science and Zoology 8
- Molecular Biology 53
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 | 167 | |
| 2 | SARS-CoV-2 antigen exposure history shapes phenotypes and specificity of memory CD8+ T cells Hit paper breakdown → | 2022 | 167 |
| 3 | 2012 | 61 | |
| 4 | 2017 | 43 | |
| 5 | 2012 | 28 | |
| 6 | 2015 | 27 | |
| 7 | 2017 | 23 | |
| 8 | 2015 | 18 | |
| 9 | 2019 | 18 | |
| 10 | 2012 | 16 | |
| 11 | 2015 | 14 | |
| 12 | 2024 | 14 | |
| 13 | 2011 | 13 | |
| 14 | 2015 | 11 | |
| 15 | 2012 | 10 | |
| 16 | 2023 | 5 | |
| 17 | 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, Developmental Neuroscience, Neurology, Pediatrics, Perinatology and Child Health and Psychiatry and Mental health, having authored 17 papers that have together received 636 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (14 papers), Epilepsy research and treatment (1 paper), Epigenetics and DNA Methylation (1 paper), Neuroinflammation and Neurodegeneration Mechanisms (1 paper), Fetal and Pediatric Neurological Disorders (1 paper), Neurogenesis and neuroplasticity mechanisms (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper) and Genomics and Rare Diseases (1 paper). The work is most often cited by research in Epidemiology (411 citations), Infectious Diseases (126 citations), Immunology (33 citations), Animal Science and Zoology (8 citations) and Molecular Biology (53 citations). Daniel Darnell has collaborated with scholars based in United States, Uganda and New Zealand. Frequent co-authors include Richard J. Webby, Adam M. Rubrum, Marie René Gramer, Jim Lowe, Jeri Carol Crumpton, Evelyn Stigger-Rosser, Mariette Ducatez, Randy R. Simonson, Ashley Webb and David Wang. Their work appears in journals such as Emerging infectious diseases, Influenza and Other Respiratory Viruses, Journal of Virology, Antiviral Research and Emerging Microbes & Infections.
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.