Ryan Mate
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 detection and testing
- SARS-CoV-2 and COVID-19 Research
- Viral gastroenteritis research and epidemiology
- COVID-19 Clinical Research Studies
- Modeling and Simulation top 10%
Papers in
-
- SARS-CoV-2 and COVID-19 Research 3
- SARS-CoV-2 detection and testing 3
- Viral gastroenteritis research and epidemiology 2
- COVID-19 Clinical Research Studies 1
-
- Viral Infections and Immunology Research 4
- Co-authors
- Martin Fritzsche (7 shared papers)Dimitra Klapsa (4 shared papers)Thomas Wilton (4 shared papers)Javier Escalada-San Martín (4 shared papers)Manasi Majumdar (3 shared papers)Erika Bujáki (3 shared papers)Maria Cristina Fleischmann Alves Zambon (3 shared papers)Gregory C. A. Amos (3 shared papers)
- Journals
- Scientific Reports (2 papers)mSystems (2 papers)Viruses (2 papers)Microbiome (2 papers)MMWR Morbidity and Mortality Weekly Report (1 paper)
- Partner nations
- United KingdomDenmarkUnited States
In The Last Decade
Ryan Mate
13 papers receiving 541 citations
Peers
Comparison fields: 5 of 84
- Infectious Diseases 339
- Modeling and Simulation 28
- Cardiology and Cardiovascular Medicine 103
- Molecular Biology 150
- Biomedical Engineering 96
Countries citing papers authored by Ryan Mate
This map shows the geographic impact of Ryan Mate'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 Ryan Mate with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan Mate more than expected).
Fields of papers citing papers by Ryan Mate
This network shows the impact of papers produced by Ryan Mate. 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 Ryan Mate. The network helps show where Ryan Mate may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryan Mate, 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 | 119 | |
| 2 | 2022 | 101 | |
| 3 | 2020 | 99 | |
| 4 | 2021 | 89 | |
| 5 | 2021 | 48 | |
| 6 | 2022 | 30 | |
| 7 | 2022 | 28 | |
| 8 | 2022 | 25 | |
| 9 | 2021 | 8 | |
| 10 | 2025 | 7 | |
| 11 | 2023 | 5 | |
| 12 | 2022 | 3 | |
| 13 | 2026 | 1 | |
| 14 | 2024 | 0 | |
| 15 | 2025 | 0 |
About Ryan Mate
Ryan Mate is a scholar working on Infectious Diseases, Cardiology and Cardiovascular Medicine, Cell Biology, Molecular Biology and Ophthalmology, having authored 15 papers that have together received 563 indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers), SARS-CoV-2 detection and testing (3 papers), Gut microbiota and health (3 papers), Viral gastroenteritis research and epidemiology (2 papers), Animal Virus Infections Studies (1 paper), COVID-19 Clinical Research Studies (1 paper) and Neurogenetic and Muscular Disorders Research (1 paper). The work is most often cited by research in Infectious Diseases (339 citations), Modeling and Simulation (28 citations), Cardiology and Cardiovascular Medicine (103 citations), Molecular Biology (150 citations) and Biomedical Engineering (96 citations). Ryan Mate has collaborated with scholars based in United Kingdom, Denmark and United States. Frequent co-authors include Martin Fritzsche, Dimitra Klapsa, Thomas Wilton, Javier Escalada-San Martín, Manasi Majumdar, Erika Bujáki, Maria Cristina Fleischmann Alves Zambon, Gregory C. A. Amos, Alastair Logan and Saba Anwar. Their work appears in journals such as Scientific Reports, mSystems, Viruses, Microbiome and MMWR Morbidity and Mortality Weekly Report.
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.