Matthew Byott
Impact in
- Virology top 10%
- HIV Research and Treatment
-
- HIV/AIDS Research and Interventions
- HIV/AIDS drug development and treatment
- SARS-CoV-2 detection and testing
- SARS-CoV-2 and COVID-19 Research
Papers in
-
- HIV/AIDS drug development and treatment 2
- HIV/AIDS Research and Interventions 2
- SARS-CoV-2 detection and testing 1
- Virology 2
- HIV Research and Treatment 2
- Co-authors
- Eleni Nastouli (6 shared papers)Judith Heaney (3 shared papers)Ankur Gupta‐Wright (2 shared papers)Joep J. van Oosterhout (2 shared papers)Elizabeth L. Corbett (2 shared papers)Daniel Grint (2 shared papers)Henry C. Mwandumba (2 shared papers)Ravindra K. Gupta (2 shared papers)
- Journals
- Clinical Infectious Diseases (1 paper)The Lancet HIV (1 paper)Frontiers in Public Health (1 paper)Viruses (1 paper)Diagnostics (1 paper)
- Partner nations
- United KingdomMalawiCanada
In The Last Decade
Matthew Byott
5 papers receiving 75 citations
Peers
Comparison fields: 5 of 26
- Virology 37
- Infectious Diseases 66
- Health Informatics 1
- Emergency Medicine 5
- Applied Microbiology and Biotechnology 1
Countries citing papers authored by Matthew Byott
This map shows the geographic impact of Matthew Byott'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 Byott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Byott more than expected).
Fields of papers citing papers by Matthew Byott
This network shows the impact of papers produced by Matthew Byott. 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 Byott. The network helps show where Matthew Byott may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew Byott, 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 | 53 | |
| 2 | 2022 | 16 | |
| 3 | 2019 | 5 | |
| 4 | 2023 | 1 | |
| 5 | 2020 | 1 | |
| 6 | 2025 | 0 |
About Matthew Byott
Matthew Byott is a scholar working on Infectious Diseases, Virology, Epidemiology, Molecular Biology and Agronomy and Crop Science, having authored 6 papers that have together received 76 indexed citations. Recurring topics across this work include HIV Research and Treatment (2 papers), HIV/AIDS drug development and treatment (2 papers), HIV/AIDS Research and Interventions (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Hepatitis B Virus Studies (1 paper), Hepatitis C virus research (1 paper), Animal Disease Management and Epidemiology (1 paper) and SARS-CoV-2 detection and testing (1 paper). The work is most often cited by research in Virology (37 citations), Infectious Diseases (66 citations), Health Informatics (1 citation), Emergency Medicine (5 citations) and Applied Microbiology and Biotechnology (1 citation). Matthew Byott has collaborated with scholars based in United Kingdom, Malawi and Canada. Frequent co-authors include Eleni Nastouli, Judith Heaney, Ankur Gupta‐Wright, Joep J. van Oosterhout, Elizabeth L. Corbett, Daniel Grint, Henry C. Mwandumba, Ravindra K. Gupta, Katherine Fielding and Da Huang. Their work appears in journals such as Clinical Infectious Diseases, The Lancet HIV, Frontiers in Public Health, Viruses and Diagnostics.
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.