Michael Letko
- Infectious Diseases top 0.5%
- SARS-CoV-2 and COVID-19 Research 19
- Viral gastroenteritis research and epidemiology 9
- Viral Infections and Outbreaks Research 5
- Viral Infections and Vectors 5
- Virology top 2%
- HIV Research and Treatment 7
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies 5
- Animal Science and Zoology top 1%
- Animal Virus Infections Studies 12
- Neurology top 5%
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- Virus-based gene therapy research 4
- Co-authors
- Vincent J. MunsterAndrea MarziStephanie N. SeifertKevin J. OlivalRaina K. PlowrightViviana SimonMarcel OomsNeeltje van Doremalen
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Michael Letko
32 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Infectious Diseases 2.6k
- Virology 315
- Modeling and Simulation 229
- Animal Science and Zoology 412
- Neurology 379
Countries citing papers authored by Michael Letko
This map shows the geographic impact of Michael Letko'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 Michael Letko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Letko more than expected).
Fields of papers citing papers by Michael Letko
This network shows the impact of papers produced by Michael Letko. 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 Michael Letko. The network helps show where Michael Letko may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael Letko, 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 | 2 | |
| 2 | 2025 | 5 | |
| 3 | 2024 | 0 | |
| 4 | 2022 | 9 | |
| 5 | 2022 | 16 | |
| 6 | 2022 | 27 | |
| 7 | 2021 | 49 | |
| 8 | 2021 | 32 | |
| 9 | Functional assessment of cell entry and receptor usage for SARS-CoV-2 and other lineage B betacoronavirusesbreakdown → | 2020 | 2065 |
| 10 | 2020 | 321 | |
| 11 | 2019 | 4 | |
| 12 | 2019 | 28 | |
| 13 | 2018 | 16 | |
| 14 | 2018 | 90 | |
| 15 | 2016 | 12 | |
| 16 | 2016 | 24 | |
| 17 | 2013 | 41 | |
| 18 | 2013 | 88 | |
| 19 | 2013 | 28 | |
| 20 | 2012 | 7 |
About Michael Letko
Michael Letko is a scholar working on Virology, Infectious Diseases and Animal Science and Zoology, having authored 33 papers that have together received 3.3k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (19 papers), Animal Virus Infections Studies (12 papers), Viral gastroenteritis research and epidemiology (9 papers), HIV Research and Treatment (7 papers), COVID-19 epidemiological studies (5 papers), Viral Infections and Outbreaks Research (5 papers), Viral Infections and Vectors (5 papers) and Virus-based gene therapy research (4 papers). The work is most often cited by research in Infectious Diseases (2.6k citations), Virology (315 citations) and Modeling and Simulation (229 citations). Michael Letko has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Vincent J. Munster, Andrea Marzi, Stephanie N. Seifert, Kevin J. Olival, Raina K. Plowright, Viviana Simon, Marcel Ooms, Neeltje van Doremalen, Dana Scott and Bronwyn M. Gunn. Their work appears in journals such as Journal of Virology, Cell Reports, PLoS Pathogens, Emerging Microbes & Infections and The Journal of 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.