Matthew Suderman
Impact in
- Agronomy and Crop Science top 10%
- Animal Disease Management and Epidemiology
-
- Viral Infections and Vectors
- Viral gastroenteritis research and epidemiology
- SARS-CoV-2 and COVID-19 Research
Papers in
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- Viral gastroenteritis research and epidemiology 5
- SARS-CoV-2 and COVID-19 Research 2
- Viral Infections and Vectors 2
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- Animal Disease Management and Epidemiology 4
- Co-authors
- Yohannes Berhane (8 shared papers)Davor Ojkić (4 shared papers)Marsha K. Leith (3 shared papers)John M.M. Pasick (3 shared papers)Tamiko Hisanaga (3 shared papers)Tamiru Negash Alkie (2 shared papers)Helen Kehler (2 shared papers)Wanhong Xu (2 shared papers)
- Journals
- Viruses (2 papers)American Journal of Veterinary Research (1 paper)Avian Diseases (1 paper)Journal of Immunological Methods (1 paper)Vaccines (1 paper)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Matthew Suderman
11 papers receiving 180 citations
Peers
Comparison fields: 5 of 31
- Agronomy and Crop Science 77
- Infectious Diseases 98
- Epidemiology 139
- Animal Science and Zoology 25
- Virology 5
Countries citing papers authored by Matthew Suderman
This map shows the geographic impact of Matthew Suderman'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 Suderman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Suderman more than expected).
Fields of papers citing papers by Matthew Suderman
This network shows the impact of papers produced by Matthew Suderman. 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 Suderman. The network helps show where Matthew Suderman may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew Suderman, 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 | 2022 | 66 | |
| 2 | 2010 | 40 | |
| 3 | 2014 | 17 | |
| 4 | 2013 | 16 | |
| 5 | 2020 | 12 | |
| 6 | 2021 | 9 | |
| 7 | 2020 | 8 | |
| 8 | 1984 | 6 | |
| 9 | 2021 | 6 | |
| 10 | Three-Dimensional Human Bronchial-Tracheal Epithelial Tissue-Like Assemblies (TLAs) as Hosts for Severe Acute Respiratory Syndrome (SARS)-CoV Infection | 2006 | 4 |
| 11 | 2024 | 4 |
About Matthew Suderman
Matthew Suderman is a scholar working on Infectious Diseases, Agronomy and Crop Science, Epidemiology, Animal Science and Zoology and Cardiology and Cardiovascular Medicine, having authored 11 papers that have together received 188 indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (5 papers), Influenza Virus Research Studies (5 papers), Animal Disease Management and Epidemiology (4 papers), Animal Virus Infections Studies (3 papers), Respiratory viral infections research (3 papers), Viral Infections and Immunology Research (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Viral Infections and Vectors (2 papers). The work is most often cited by research in Agronomy and Crop Science (77 citations), Infectious Diseases (98 citations), Epidemiology (139 citations), Animal Science and Zoology (25 citations) and Virology (5 citations). Matthew Suderman has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Yohannes Berhane, Davor Ojkić, Marsha K. Leith, John M.M. Pasick, Tamiko Hisanaga, Tamiru Negash Alkie, Helen Kehler, Wanhong Xu, Oliver Lung and Nicola S. Lewis. Their work appears in journals such as Viruses, American Journal of Veterinary Research, Avian Diseases, Journal of Immunological Methods and Vaccines.
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.