Dana Scott
- Infectious Diseases top 0.1%
- Viral Infections and Vectors 52
- Viral Infections and Outbreaks Research 36
- SARS-CoV-2 and COVID-19 Research 30
- COVID-19 Clinical Research Studies 14
- Modeling and Simulation top 0.5%
- Animal Science and Zoology top 0.5%
- Animal Virus Infections Studies 12
- Epidemiology top 1%
- Virology and Viral Diseases 19
- Hepatitis B Virus Studies 10
- Virology top 2%
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- Mosquito-borne diseases and control 13
- Co-authors
- Heinz FeldmannFriederike FeldmannEmmie de WitVincent J. MunsterAtsushi OkumuraTrenton BushmakerTina ThomasNeeltje van Doremalen
- Journals
- The Journal of Infectious Diseases (9 papers)PLoS neglected tropical diseases (7 papers)Scientific Reports (5 papers)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Dana Scott
104 papers receiving 6.6k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Infectious Diseases 5.4k
- Modeling and Simulation 426
- Animal Science and Zoology 748
- Epidemiology 1.9k
- Virology 247
Countries citing papers authored by Dana Scott
This map shows the geographic impact of Dana Scott'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 Scott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dana Scott more than expected).
Fields of papers citing papers by Dana Scott
This network shows the impact of papers produced by Dana Scott. 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 Scott. The network helps show where Dana Scott may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dana Scott, 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 | 2024 | 0 | |
| 2 | 2022 | 6 | |
| 3 | 2022 | 20 | |
| 4 | 2021 | 6 | |
| 5 | 2021 | 10 | |
| 6 | 2020 | 23 | |
| 7 | 2020 | 13 | |
| 8 | Employment Effects of Unemployment Insurance Generosity During the Pandemic | 2020 | 9 |
| 9 | 2020 | 59 | |
| 10 | 2020 | 11 | |
| 11 | 2017 | 84 | |
| 12 | 2017 | 42 | |
| 13 | 2017 | 47 | |
| 14 | 2016 | 188 | |
| 15 | 2016 | 29 | |
| 16 | 2015 | 27 | |
| 17 | 2015 | 16 | |
| 18 | 2013 | 99 | |
| 19 | 2013 | 46 | |
| 20 | 2011 | 57 |
About Dana Scott
Dana Scott is a scholar working on Infectious Diseases, Modeling and Simulation and Animal Science and Zoology, having authored 107 papers that have together received 6.7k indexed citations. Recurring topics across this work include Viral Infections and Vectors (52 papers), Viral Infections and Outbreaks Research (36 papers), SARS-CoV-2 and COVID-19 Research (30 papers), Virology and Viral Diseases (19 papers), COVID-19 Clinical Research Studies (14 papers), Mosquito-borne diseases and control (13 papers), Animal Virus Infections Studies (12 papers) and Hepatitis B Virus Studies (10 papers). The work is most often cited by research in Infectious Diseases (5.4k citations), Modeling and Simulation (426 citations) and Animal Science and Zoology (748 citations). Dana Scott has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Heinz Feldmann, Friederike Feldmann, Emmie de Wit, Vincent J. Munster, Atsushi Okumura, Trenton Bushmaker, Tina Thomas, Neeltje van Doremalen, Thomas W. Geisbert and Elaine Haddock. Their work appears in journals such as The Journal of Infectious Diseases, PLoS neglected tropical diseases, Scientific Reports, Proceedings of the National Academy of Sciences and Emerging infectious diseases.
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.