Nikesh Tailor
Impact in
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- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
- Viral Infections and Outbreaks Research
- Viral gastroenteritis research and epidemiology
- Viral Infections and Vectors
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- Poxvirus research and outbreaks
Papers in
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- SARS-CoV-2 and COVID-19 Research 6
- Viral Infections and Outbreaks Research 5
- Viral gastroenteritis research and epidemiology 5
- Viral Infections and Vectors 4
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- Hepatitis B Virus Studies 4
- Influenza Virus Research Studies 2
- Co-authors
- Darwyn Kobasa (13 shared papers)Anders Leung (6 shared papers)Kevin Tierney (9 shared papers)Bryan D. Griffin (6 shared papers)Jonathan Audet (6 shared papers)Robert Vendramelli (10 shared papers)David Safronetz (7 shared papers)James Davie (1 shared paper)
- Journals
- Viruses (4 papers)Journal of Virology (3 papers)Microbiology Spectrum (2 papers)Virus Research (1 paper)Scientific Reports (1 paper)
- Partner nations
- CanadaUnited StatesChina
In The Last Decade
Nikesh Tailor
15 papers receiving 148 citations
Peers
Comparison fields: 5 of 43
- Infectious Diseases 87
- Virology 17
- Agronomy and Crop Science 14
- Animal Science and Zoology 10
- Epidemiology 32
Countries citing papers authored by Nikesh Tailor
This map shows the geographic impact of Nikesh Tailor'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 Nikesh Tailor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nikesh Tailor more than expected).
Fields of papers citing papers by Nikesh Tailor
This network shows the impact of papers produced by Nikesh Tailor. 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 Nikesh Tailor. The network helps show where Nikesh Tailor may publish in the future.
Co-authors
The 25 scholars most cited alongside Nikesh Tailor, 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 | 33 | |
| 2 | 2024 | 17 | |
| 3 | 2016 | 16 | |
| 4 | 2019 | 14 | |
| 5 | 2023 | 13 | |
| 6 | 2024 | 10 | |
| 7 | 2022 | 8 | |
| 8 | 2020 | 7 | |
| 9 | 2022 | 7 | |
| 10 | 2023 | 7 | |
| 11 | 2021 | 4 | |
| 12 | 2022 | 4 | |
| 13 | 2022 | 4 | |
| 14 | 2023 | 3 | |
| 15 | 2024 | 2 | |
| 16 | 2024 | 0 | |
| 17 | 2025 | 0 | |
| 18 | 2025 | 0 |
About Nikesh Tailor
Nikesh Tailor is a scholar working on Infectious Diseases, Epidemiology, Molecular Biology, Animal Science and Zoology and Agronomy and Crop Science, having authored 18 papers that have together received 149 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (6 papers), Viral Infections and Outbreaks Research (5 papers), Viral gastroenteritis research and epidemiology (5 papers), Hepatitis B Virus Studies (4 papers), Viral Infections and Vectors (4 papers), Animal Virus Infections Studies (3 papers), Animal Disease Management and Epidemiology (2 papers) and Influenza Virus Research Studies (2 papers). The work is most often cited by research in Infectious Diseases (87 citations), Virology (17 citations), Agronomy and Crop Science (14 citations), Animal Science and Zoology (10 citations) and Epidemiology (32 citations). Nikesh Tailor has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Darwyn Kobasa, Anders Leung, Kevin Tierney, Bryan D. Griffin, Jonathan Audet, Robert Vendramelli, David Safronetz, James Davie, Carolina González and Kaylie N. Tran. Their work appears in journals such as Viruses, Journal of Virology, Microbiology Spectrum, Virus Research and Scientific Reports.
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.