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)J. P. Dubey (1 shared paper)R. M. Weigel (1 shared paper)Arthur M. Siegel (1 shared paper)Patricia V. Aguilar (1 shared paper)Divya Mirchandani (1 shared paper)Chad J. Roy (1 shared paper)
- Journals
- Emerging infectious diseases (2 papers)American Journal of Tropical Medicine and Hygiene (2 papers)PLoS ONE (1 paper)Antimicrobial Agents and Chemotherapy (1 paper)Toxicon (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
David Dyer
13 papers receiving 521 citations
Peers
Comparison fields: 5 of 83
- Modeling and Simulation 84
- Parasitology 88
- General Dentistry 15
- Small Animals 50
- Pulmonary and Respiratory Medicine 194
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 | 241 | |
| 2 | 1999 | 72 | |
| 3 | 2005 | 59 | |
| 4 | 2011 | 50 | |
| 5 | 2018 | 30 | |
| 6 | Aerosolized Bacillus anthracis infection in New Zealand white rabbits: natural history and intravenous levofloxacin treatment. | 2010 | 29 |
| 7 | 2015 | 22 | |
| 8 | 2020 | 13 | |
| 9 | 2023 | 9 | |
| 10 | 2020 | 9 | |
| 11 | 2021 | 8 | |
| 12 | 2019 | 3 | |
| 13 | 2025 | 2 |
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 547 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (3 papers), Bacillus and Francisella bacterial research (3 papers), Infection Control and Ventilation (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), COVID-19 Clinical Research Studies (2 papers), Bacterial Genetics and Biotechnology (2 papers), Microbial Inactivation Methods (1 paper) and Toxoplasma gondii Research Studies (1 paper). The work is most often cited by research in Modeling and Simulation (84 citations), Parasitology (88 citations), General Dentistry (15 citations), Small Animals (50 citations) and Pulmonary and Respiratory Medicine (194 citations). David Dyer has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Karen L. Overall, Ayşegül Nalça, J. P. Dubey, R. M. Weigel, Arthur M. Siegel, Patricia V. Aguilar, Divya Mirchandani, Chad J. Roy, Diana Fernández and Jessica A. Plante. Their work appears in journals such as Emerging infectious diseases, American Journal of Tropical Medicine and Hygiene, PLoS ONE, Antimicrobial Agents and Chemotherapy and Toxicon.
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.