Mark R. Denison
Impact in
- Infectious Diseases top 0.05%
- SARS-CoV-2 and COVID-19 Research
- Viral gastroenteritis research and epidemiology
- COVID-19 Clinical Research Studies
- Animal Science and Zoology top 0.05%
- Animal Virus Infections Studies
Papers in
-
- Animal Virus Infections Studies 74
-
- SARS-CoV-2 and COVID-19 Research 79
- Viral gastroenteritis research and epidemiology 66
- COVID-19 Clinical Research Studies 5
- Co-authors
- Ralph S. BaricRachel L. GrahamAmy SimsXiaotao LuEverett Clinton SmithTimothy P. SheahanLance D. EckerleErik Prentice
- Journals
- Journal of Virology (39 papers)Advances in experimental medicine and biology (12 papers)Virology (9 papers)mBio (6 papers)PLoS Pathogens (5 papers)
- Partner nations
- United StatesFranceCanada
In The Last Decade
Mark R. Denison
119 papers receiving 11.3k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Infectious Diseases 9.0k
- Animal Science and Zoology 3.3k
- Modeling and Simulation 340
- Neurology 878
- Immunology 1.1k
Countries citing papers authored by Mark R. Denison
This map shows the geographic impact of Mark R. Denison'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 Mark R. Denison with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark R. Denison more than expected).
Fields of papers citing papers by Mark R. Denison
This network shows the impact of papers produced by Mark R. Denison. 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 Mark R. Denison. The network helps show where Mark R. Denison may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mark R. Denison, 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 | 2026 | 0 | |
| 2 | Mutations in the SARS-CoV-2 RNA-dependent RNA polymerase confer resistance to remdesivir by distinct mechanisms Hit paper breakdown → | 2022 | 139 |
| 3 | 2021 | 12 | |
| 4 | 2021 | 55 | |
| 5 | 2021 | 155 | |
| 6 | Small-Molecule Antiviral β- Hit paper breakdown → | 2019 | 255 |
| 7 | 2017 | 49 | |
| 8 | 2017 | 52 | |
| 9 | Immunogenicity and structures of a rationally designed prefusion MERS-CoV spike antigen Hit paper breakdown → | 2017 | 623 |
| 10 | 2015 | 111 | |
| 11 | 2013 | 20 | |
| 12 | 2012 | 5 | |
| 13 | 2010 | 50 | |
| 14 | 2007 | 241 | |
| 15 | 2006 | 22 | |
| 16 | 2002 | 7 | |
| 17 | 2001 | 56 | |
| 18 | 1997 | 34 | |
| 19 | 1996 | 52 | |
| 20 | 1993 | 41 |
About Mark R. Denison
Mark R. Denison is a scholar working on Animal Science and Zoology, Infectious Diseases, Virology, Hepatology and Genetics, having authored 123 papers that have together received 11.5k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (79 papers), Animal Virus Infections Studies (74 papers), Viral gastroenteritis research and epidemiology (66 papers), Virus-based gene therapy research (12 papers), Viral Infections and Immunology Research (11 papers), interferon and immune responses (6 papers), Hepatitis C virus research (6 papers) and COVID-19 Clinical Research Studies (5 papers). The work is most often cited by research in Infectious Diseases (9.0k citations), Animal Science and Zoology (3.3k citations), Modeling and Simulation (340 citations), Neurology (878 citations) and Immunology (1.1k citations). Mark R. Denison has collaborated with scholars based in United States, France and Canada. Frequent co-authors include Ralph S. Baric, Rachel L. Graham, Amy Sims, Xiaotao Lu, Everett Clinton Smith, Timothy P. Sheahan, Lance D. Eckerle, Erik Prentice, Tomáš Cihlář and Michelle M. Becker. Their work appears in journals such as Journal of Virology, Advances in experimental medicine and biology, Virology, mBio and PLoS Pathogens.
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.