David Dyer
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Parasitology top 5%
- Toxoplasma gondii Research Studies
Papers in
-
- SARS-CoV-2 and COVID-19 Research 2
- COVID-19 Clinical Research Studies 2
- Genetics 4
- Bacterial Genetics and Biotechnology 2
- Co-authors
- Karen L. Overall (1 shared paper)Ayşegül Nalça (6 shared papers)Arthur M. Siegel (1 shared paper)J. P. Dubey (1 shared paper)R. M. Weigel (1 shared paper)Diana Fernández (1 shared paper)Reed F. Johnson (1 shared paper)Douglas S. Reed (1 shared paper)
- Journals
- American Journal of Tropical Medicine and Hygiene (2 papers)Emerging infectious diseases (2 papers)Vaccine (1 paper)Toxicon (1 paper)Viruses (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
David Dyer
13 papers receiving 491 citations
Peers
Comparison fields: 5 of 87
- Modeling and Simulation 88
- Parasitology 85
- General Dentistry 15
- Virology 35
- Pulmonary and Respiratory Medicine 196
Countries citing papers authored by David Dyer
This map shows the geographic impact of David Dyer'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 David Dyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Dyer more than expected).
Fields of papers citing papers by David Dyer
This network shows the impact of papers produced by David Dyer. 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 David Dyer. The network helps show where David Dyer may publish in the future.
Co-authors
The 25 scholars most cited alongside David Dyer, 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 | 2020 | 231 | |
| 2 | 1999 | 69 | |
| 3 | 2005 | 50 | |
| 4 | 2011 | 49 | |
| 5 | 2018 | 28 | |
| 6 | Aerosolized Bacillus anthracis infection in New Zealand white rabbits: natural history and intravenous levofloxacin treatment. | 2010 | 28 |
| 7 | 2015 | 21 | |
| 8 | 2020 | 13 | |
| 9 | 2020 | 9 | |
| 10 | 2023 | 6 | |
| 11 | 2021 | 5 | |
| 12 | 2019 | 3 | |
| 13 | 2025 | 1 |
About David Dyer
David Dyer is a scholar working on Infectious Diseases, Genetics, Molecular Biology, Epidemiology and Modeling and Simulation, having authored 13 papers that have together received 513 indexed citations. Recurring topics across this work include Bacillus and Francisella bacterial research (3 papers), COVID-19 epidemiological studies (3 papers), Infection Control and Ventilation (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Bacterial Genetics and Biotechnology (2 papers), COVID-19 Clinical Research Studies (2 papers), Parasitic Infections and Diagnostics (1 paper) and Rabies epidemiology and control (1 paper). The work is most often cited by research in Modeling and Simulation (88 citations), Parasitology (85 citations), General Dentistry (15 citations), Virology (35 citations) and Pulmonary and Respiratory Medicine (196 citations). David Dyer has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Karen L. Overall, Ayşegül Nalça, Arthur M. Siegel, J. P. Dubey, R. M. Weigel, Diana Fernández, Reed F. Johnson, Douglas S. Reed, Kenneth S. Plante and Scott C. Weaver. Their work appears in journals such as American Journal of Tropical Medicine and Hygiene, Emerging infectious diseases, Vaccine, Toxicon and Viruses.
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.