Daniel Mair
Impact in
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- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Viral Infections and Vectors
- Viral gastroenteritis research and epidemiology
- SARS-CoV-2 detection and testing
Papers in
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- Viral Infections and Vectors 2
- Viral gastroenteritis research and epidemiology 2
- SARS-CoV-2 and COVID-19 Research 1
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- Vector-Borne Animal Diseases 4
- Co-authors
- Ana da Silva Filipe (6 shared papers)Agnieszka M. Szemiel (2 shared papers)Alain Kohl (3 shared papers)Massimo Palmarini (2 shared papers)Brian J. Willett (1 shared paper)Sam J. Wilson (1 shared paper)Meredith Stewart (1 shared paper)Richard Orton (1 shared paper)
- Journals
- PLoS Pathogens (3 papers)PLoS neglected tropical diseases (1 paper)Viruses (1 paper)Microbial Genomics (1 paper)Microbiology Resource Announcements (1 paper)
- Partner nations
- United KingdomUnited StatesUganda
In The Last Decade
Daniel Mair
6 papers receiving 144 citations
Peers
Comparison fields: 5 of 45
- Infectious Diseases 114
- Computational Mathematics 1
- Hepatology 10
- Biological Psychiatry 2
- Animal Science and Zoology 8
Countries citing papers authored by Daniel Mair
This map shows the geographic impact of Daniel Mair'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 Mair with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Mair more than expected).
Fields of papers citing papers by Daniel Mair
This network shows the impact of papers produced by Daniel Mair. 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 Mair. The network helps show where Daniel Mair may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Mair, 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 | 2021 | 100 | |
| 2 | 2018 | 16 | |
| 3 | 2018 | 14 | |
| 4 | 2020 | 8 | |
| 5 | 2021 | 7 | |
| 6 | 2019 | 1 | |
| 7 | 2025 | 0 | |
| 8 | 2024 | 0 |
About Daniel Mair
Daniel Mair is a scholar working on Infectious Diseases, Ecology, Evolution, Behavior and Systematics, Agronomy and Crop Science, Immunology and Cardiology and Cardiovascular Medicine, having authored 8 papers that have together received 146 indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (4 papers), Vector-Borne Animal Diseases (4 papers), Viral Infections and Vectors (2 papers), Viral gastroenteritis research and epidemiology (2 papers), interferon and immune responses (1 paper), Animal Virus Infections Studies (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper) and Bacteriophages and microbial interactions (1 paper). The work is most often cited by research in Infectious Diseases (114 citations), Computational Mathematics (1 citation), Hepatology (10 citations), Biological Psychiatry (2 citations) and Animal Science and Zoology (8 citations). Daniel Mair has collaborated with scholars based in United Kingdom, United States and Uganda. Frequent co-authors include Ana da Silva Filipe, Agnieszka M. Szemiel, Alain Kohl, Massimo Palmarini, Brian J. Willett, Sam J. Wilson, Meredith Stewart, Richard Orton, Matthew L. Turnbull and Rute Maria Pinto. Their work appears in journals such as PLoS Pathogens, PLoS neglected tropical diseases, Viruses, Microbial Genomics and Microbiology Resource Announcements.
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.