Matthew S. Sutton
Impact in
- Virology top 10%
- HIV Research and Treatment
-
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immune responses and vaccinations
Papers in
- Virology 6
- HIV Research and Treatment 6
-
- Immune Cell Function and Interaction 5
- Immune responses and vaccinations 1
- Co-authors
- Shelby L. O’Connor (5 shared papers)Andrea M. Weiler (3 shared papers)Esper G. Kallás (1 shared paper)Douglas F. Nixon (1 shared paper)Thomas C. Friedrich (3 shared papers)Alexis J. Balgeman (3 shared papers)Priscilla R. Costa (1 shared paper)Dominic Paquin‐Proulx (1 shared paper)
- Journals
- Journal of Virology (5 papers)Frontiers in Immunology (2 papers)Science Advances (1 paper)Science Translational Medicine (1 paper)Virology Journal (1 paper)
- Partner nations
- United StatesAustraliaBrazil
In The Last Decade
Matthew S. Sutton
7 papers receiving 81 citations
Peers
Comparison fields: 5 of 23
- Virology 40
- Immunology 52
- Infectious Diseases 37
- Epidemiology 19
- Radiology, Nuclear Medicine and Imaging 6
Countries citing papers authored by Matthew S. Sutton
This map shows the geographic impact of Matthew S. Sutton'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 S. Sutton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew S. Sutton more than expected).
Fields of papers citing papers by Matthew S. Sutton
This network shows the impact of papers produced by Matthew S. Sutton. 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 S. Sutton. The network helps show where Matthew S. Sutton may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew S. Sutton, 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 | 2018 | 32 | |
| 2 | 2016 | 20 | |
| 3 | 2016 | 10 | |
| 4 | 2018 | 8 | |
| 5 | 2019 | 7 | |
| 6 | 2025 | 4 | |
| 7 | 2024 | 1 | |
| 8 | 2025 | 0 | |
| 9 | 2025 | 0 | |
| 10 | 2021 | 0 |
About Matthew S. Sutton
Matthew S. Sutton is a scholar working on Virology, Immunology, Infectious Diseases, Epidemiology and Molecular Biology, having authored 10 papers that have together received 82 indexed citations. Recurring topics across this work include HIV Research and Treatment (6 papers), Immune Cell Function and Interaction (5 papers), HIV/AIDS Research and Interventions (3 papers), Cytomegalovirus and herpesvirus research (1 paper), Bacteriophages and microbial interactions (1 paper), Polyomavirus and related diseases (1 paper), Tuberculosis Research and Epidemiology (1 paper) and Immune responses and vaccinations (1 paper). The work is most often cited by research in Virology (40 citations), Immunology (52 citations), Infectious Diseases (37 citations), Epidemiology (19 citations) and Radiology, Nuclear Medicine and Imaging (6 citations). Matthew S. Sutton has collaborated with scholars based in United States, Australia and Brazil. Frequent co-authors include Shelby L. O’Connor, Andrea M. Weiler, Esper G. Kallás, Douglas F. Nixon, Thomas C. Friedrich, Alexis J. Balgeman, Priscilla R. Costa, Dominic Paquin‐Proulx, Cássia Gisele Terrassani Silveira and Karina I. Carvalho. Their work appears in journals such as Journal of Virology, Frontiers in Immunology, Science Advances, Science Translational Medicine and Virology Journal.
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.