Matthew Suderman

609 total citations
12 papers, 163 citations indexed

About

Matthew Suderman is a scholar working on Infectious Diseases, Epidemiology and Agronomy and Crop Science. According to data from OpenAlex, Matthew Suderman has authored 12 papers receiving a total of 163 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Infectious Diseases, 8 papers in Epidemiology and 4 papers in Agronomy and Crop Science. Recurrent topics in Matthew Suderman's work include Viral gastroenteritis research and epidemiology (5 papers), Influenza Virus Research Studies (5 papers) and Respiratory viral infections research (4 papers). Matthew Suderman is often cited by papers focused on Viral gastroenteritis research and epidemiology (5 papers), Influenza Virus Research Studies (5 papers) and Respiratory viral infections research (4 papers). Matthew Suderman collaborates with scholars based in Canada, United States and United Kingdom. Matthew Suderman's co-authors include Yohannes Berhane, Marsha K. Leith, John Pasick, Tamiko Hisanaga, Davor Ojkić, Helen Kehler, Nicola S. Lewis, Tamiru N. Alkie, Oliver Lung and Wanhong Xu and has published in prestigious journals such as Journal of Immunological Methods, Viruses and American Journal of Veterinary Research.

In The Last Decade

Matthew Suderman

12 papers receiving 157 citations

Peers

Matthew Suderman
Comparison fields: 5 of 27
  • Epidemiology 131
  • Infectious Diseases 97
  • Agronomy and Crop Science 78
  • Animal Science and Zoology 27
  • Molecular Biology 10
Replace Gabriela Goujgoulova with:
Gabriela Goujgoulova Bulgaria
Akiko Kamata Italy
Yang Baoan China
Edyta Świętoń Poland
Sol Jeong South Korea
Randall Dahn Japan
Jei-Hyun Jeong South Korea
Chung-Young Lee South Korea
Amy L. Vincent Baker United States
Alicia Janas-Martindale United States
Gabriela Goujgoulova Bulgaria View profile →
Citations per field, relative to Matthew Suderman
Matthew Suderman · 1×
Citations per year, relative to Matthew Suderman
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Countries citing papers authored by Matthew Suderman

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Matthew Suderman

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Suderman. A scholar is included among the top collaborators of Matthew Suderman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Matthew Suderman. Matthew Suderman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
# Work Indexed citations
1 2
2 57
3 8
4 5
5 12
6 5
7 17
8 13
9 38
10
Three-Dimensional Human Bronchial-Tracheal Epithelial Tissue-Like Assemblies (TLAs) as Hosts for Severe Acute Respiratory Syndrome (SARS)-CoV Infection
1
11
Three-Dimensional Engineered High Fidelity Normal Human Lung Tissue-Like Assemblies (TLA) as Targets for Human Respiratory Virus Infections
2
12 3

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.

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2026