Jason Gren
Impact in
- Infectious Diseases top 2%
- SARS-CoV-2 and COVID-19 Research
- Viral Infections and Outbreaks Research
- Viral Infections and Vectors
- Viral gastroenteritis research and epidemiology
- COVID-19 Clinical Research Studies
- Animal Science and Zoology top 5%
- Animal Virus Infections Studies
Papers in
-
- Viral Infections and Outbreaks Research 6
- Viral gastroenteritis research and epidemiology 4
- SARS-CoV-2 and COVID-19 Research 4
- Viral Infections and Vectors 3
-
- Animal Virus Infections Studies 4
- Co-authors
- James E. Strong (3 shared papers)Heinz Feldmann (3 shared papers)Dennis A. Bente (1 shared paper)Hana M. Weingartl (3 shared papers)Peter Marszal (3 shared papers)Markus Czub (2 shared papers)John Copps (2 shared papers)Gregory A. Smith (2 shared papers)
- Journals
- Journal of Virology (3 papers)The Journal of Infectious Diseases (2 papers)Science Translational Medicine (1 paper)mBio (1 paper)Emerging infectious diseases (1 paper)
- Partner nations
- CanadaUnited StatesJapan
In The Last Decade
Jason Gren
13 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 76
- Infectious Diseases 785
- Animal Science and Zoology 168
- Modeling and Simulation 61
- Epidemiology 367
- Emergency Medical Services 66
Countries citing papers authored by Jason Gren
This map shows the geographic impact of Jason Gren'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 Jason Gren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason Gren more than expected).
Fields of papers citing papers by Jason Gren
This network shows the impact of papers produced by Jason Gren. 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 Jason Gren. The network helps show where Jason Gren may publish in the future.
Co-authors
The 25 scholars most cited alongside Jason Gren, 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 | 2004 | 267 | |
| 2 | 2009 | 145 | |
| 3 | 2005 | 144 | |
| 4 | 2013 | 94 | |
| 5 | 2004 | 93 | |
| 6 | 2004 | 72 | |
| 7 | 2011 | 59 | |
| 8 | 2010 | 56 | |
| 9 | 2014 | 45 | |
| 10 | 2014 | 36 | |
| 11 | 2019 | 11 | |
| 12 | 2019 | 6 | |
| 13 | 2021 | 4 |
About Jason Gren
Jason Gren is a scholar working on Infectious Diseases, Animal Science and Zoology, Epidemiology, Agronomy and Crop Science and Immunology, having authored 13 papers that have together received 1.0k indexed citations. Recurring topics across this work include Viral Infections and Outbreaks Research (6 papers), Viral gastroenteritis research and epidemiology (4 papers), Animal Virus Infections Studies (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Influenza Virus Research Studies (3 papers), Viral Infections and Vectors (3 papers), Virology and Viral Diseases (2 papers) and vaccines and immunoinformatics approaches (1 paper). The work is most often cited by research in Infectious Diseases (785 citations), Animal Science and Zoology (168 citations), Modeling and Simulation (61 citations), Epidemiology (367 citations) and Emergency Medical Services (66 citations). Jason Gren has collaborated with scholars based in Canada, United States and Japan. Frequent co-authors include James E. Strong, Heinz Feldmann, Dennis A. Bente, Hana M. Weingartl, Peter Marszal, Markus Czub, John Copps, Gregory A. Smith, Darwyn Kobasa and Deborah Middleton. Their work appears in journals such as Journal of Virology, The Journal of Infectious Diseases, Science Translational Medicine, mBio and Emerging infectious diseases.
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.