Dana Mitzel
- Infectious Diseases top 2%
- Viral Infections and Vectors 20
- Viral gastroenteritis research and epidemiology 5
- Viral Infections and Outbreaks Research 5
- SARS-CoV-2 and COVID-19 Research 3
- Parasitology top 5%
- Vector-borne infectious diseases 9
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- Mosquito-borne diseases and control 20
- Animal Science and Zoology top 5%
- Animal Virus Infections Studies 3
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- Insect and Pesticide Research 4
- Co-authors
- Marshall E. BloomSonja M. BestJames B. WolfinbargerShelly J. RobertsonJeffrey G. ShannonGregory S. ParkElena F. BoerHeather W. Stout-Delgado
- Journals
- Journal of General Virology (3 papers)Journal of Medical Entomology (3 papers)Parasites & Vectors (3 papers)
- Partner nations
- United StatesUnited KingdomTürkiye
In The Last Decade
Dana Mitzel
33 papers receiving 922 citations
Peers
Comparison fields: 5 of 82
- Infectious Diseases 589
- Parasitology 189
- Public Health, Environmental and Occupational Health 405
- Animal Science and Zoology 109
- Immunology 195
Countries citing papers authored by Dana Mitzel
This map shows the geographic impact of Dana Mitzel'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 Dana Mitzel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dana Mitzel more than expected).
Fields of papers citing papers by Dana Mitzel
This network shows the impact of papers produced by Dana Mitzel. 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 Dana Mitzel. The network helps show where Dana Mitzel may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dana Mitzel, 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 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 2 | |
| 6 | 2024 | 4 | |
| 7 | 2024 | 4 | |
| 8 | 2024 | 4 | |
| 9 | 2024 | 5 | |
| 10 | 2023 | 2 | |
| 11 | 2023 | 8 | |
| 12 | 2021 | 14 | |
| 13 | 2021 | 39 | |
| 14 | 2017 | 15 | |
| 15 | 2016 | 112 | |
| 16 | 2012 | 51 | |
| 17 | 2011 | 11 | |
| 18 | 2010 | 18 | |
| 19 | 2008 | 55 | |
| 20 | 2007 | 39 |
About Dana Mitzel
Dana Mitzel is a scholar working on Infectious Diseases, Parasitology, Public Health, Environmental and Occupational Health, Insect Science and Modeling and Simulation, having authored 37 papers that have together received 937 indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (20 papers), Viral Infections and Vectors (20 papers), Vector-borne infectious diseases (9 papers), Viral gastroenteritis research and epidemiology (5 papers), Viral Infections and Outbreaks Research (5 papers), Insect and Pesticide Research (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Animal Virus Infections Studies (3 papers). The work is most often cited by research in Infectious Diseases (589 citations), Parasitology (189 citations), Public Health, Environmental and Occupational Health (405 citations), Animal Science and Zoology (109 citations) and Immunology (195 citations). Dana Mitzel has collaborated with scholars based in United States, United Kingdom and Türkiye. Frequent co-authors include Marshall E. Bloom, Sonja M. Best, James B. Wolfinbarger, Shelly J. Robertson, Jeffrey G. Shannon, Gregory S. Park, Elena F. Boer, Heather W. Stout-Delgado, Michele E. Hardy and Carla Weisend. Their work appears in journals such as Journal of General Virology, Journal of Medical Entomology, Parasites & Vectors, Emerging Microbes & Infections and Pathogens.
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.