Matthew Tully
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- Viral gastroenteritis research and epidemiology
- Animal Science and Zoology top 10%
- Animal Virus Infections Studies
Papers in
-
- SARS-CoV-2 and COVID-19 Research 5
- COVID-19 Clinical Research Studies 2
- Viral Infections and Vectors 2
- Viral gastroenteritis research and epidemiology 1
-
- Animal Disease Management and Epidemiology 3
- Co-authors
- Hazim F. EL-Sharif (1 shared paper)Sylvia Crossley (1 shared paper)Subrayal M. Reddy (1 shared paper)Simon Paul Graham (1 shared paper)William N. Mwangi (1 shared paper)Dalan Bailey (1 shared paper)Sarah Rachel Dennison (1 shared paper)Simon Gubbins (3 shared papers)
- Journals
- Pathogens (1 paper)Vaccine X (1 paper)Transboundary and Emerging Diseases (1 paper)Scientific Reports (1 paper)Journal of Virology (1 paper)
- Partner nations
- United KingdomFranceItaly
In The Last Decade
Matthew Tully
9 papers receiving 496 citations
Peers
Comparison fields: 5 of 67
- Infectious Diseases 314
- Animal Science and Zoology 82
- Agronomy and Crop Science 46
- Modeling and Simulation 19
- Immunology 62
Countries citing papers authored by Matthew Tully
This map shows the geographic impact of Matthew Tully'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 Matthew Tully with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Tully more than expected).
Fields of papers citing papers by Matthew Tully
This network shows the impact of papers produced by Matthew Tully. 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 Matthew Tully. The network helps show where Matthew Tully may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew Tully, 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 | 222 | |
| 2 | 2020 | 153 | |
| 3 | 2022 | 65 | |
| 4 | 2019 | 31 | |
| 5 | 2024 | 12 | |
| 6 | 2023 | 10 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 2 | |
| 9 | 2022 | 1 |
About Matthew Tully
Matthew Tully is a scholar working on Infectious Diseases, Agronomy and Crop Science, Animal Science and Zoology, Epidemiology and Ecology, Evolution, Behavior and Systematics, having authored 9 papers that have together received 500 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (5 papers), Animal Disease Management and Epidemiology (3 papers), COVID-19 Clinical Research Studies (2 papers), Viral Infections and Vectors (2 papers), Virology and Viral Diseases (2 papers), Viral gastroenteritis research and epidemiology (1 paper), Animal Virus Infections Studies (1 paper) and Biochemical and Structural Characterization (1 paper). The work is most often cited by research in Infectious Diseases (314 citations), Animal Science and Zoology (82 citations), Agronomy and Crop Science (46 citations), Modeling and Simulation (19 citations) and Immunology (62 citations). Matthew Tully has collaborated with scholars based in United Kingdom, France and Italy. Frequent co-authors include Hazim F. EL-Sharif, Sylvia Crossley, Subrayal M. Reddy, Simon Paul Graham, William N. Mwangi, Dalan Bailey, Sarah Rachel Dennison, Simon Gubbins, Carrie Batten and John Flannery. Their work appears in journals such as Pathogens, Vaccine X, Transboundary and Emerging Diseases, Scientific Reports and Journal of Virology.
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.