Jason Gren
Impact in
- Infectious Diseases top 5%
- Viral Infections and Outbreaks Research
- Viral Infections and Vectors
- SARS-CoV-2 and COVID-19 Research
- Viral gastroenteritis research and epidemiology
- Epidemiology top 10%
- Virology and Viral Diseases
- Respiratory viral infections research
- Influenza Virus Research Studies
Papers in
-
- Viral gastroenteritis research and epidemiology 4
- Viral Infections and Outbreaks Research 4
- Viral Infections and Vectors 3
- SARS-CoV-2 and COVID-19 Research 3
- SARS-CoV-2 detection and testing 1
-
- Influenza Virus Research Studies 2
- Virology and Viral Diseases 2
- Co-authors
- James E. Strong (3 shared papers)Heinz Feldmann (3 shared papers)Dennis A. Bente (1 shared paper)Peter Marszal (3 shared papers)Gary Wong (4 shared papers)Hana M. Weingartl (3 shared papers)John Copps (2 shared papers)Markus Czub (2 shared papers)
- Journals
- Journal of Virology (2 papers)The Journal of Infectious Diseases (2 papers)Emerging infectious diseases (1 paper)mBio (1 paper)Scientific Reports (1 paper)
- Partner nations
- CanadaUnited StatesJapan
In The Last Decade
Jason Gren
10 papers receiving 681 citations
Peers
Comparison fields: 5 of 68
- Infectious Diseases 495
- Epidemiology 306
- Emergency Medical Services 61
- Modeling and Simulation 41
- Animal Science and Zoology 75
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 | 2005 | 139 | |
| 2 | 2009 | 138 | |
| 3 | 2013 | 87 | |
| 4 | 2004 | 81 | |
| 5 | 2004 | 66 | |
| 6 | 2010 | 54 | |
| 7 | 2011 | 50 | |
| 8 | 2014 | 42 | |
| 9 | 2014 | 35 | |
| 10 | 2019 | 6 |
About Jason Gren
Jason Gren is a scholar working on Infectious Diseases, Epidemiology, Animal Science and Zoology, Molecular Biology and Agronomy and Crop Science, having authored 10 papers that have together received 698 indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (4 papers), Viral Infections and Outbreaks Research (4 papers), Animal Virus Infections Studies (3 papers), Viral Infections and Vectors (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Influenza Virus Research Studies (2 papers), Virology and Viral Diseases (2 papers) and SARS-CoV-2 detection and testing (1 paper). The work is most often cited by research in Infectious Diseases (495 citations), Epidemiology (306 citations), Emergency Medical Services (61 citations), Modeling and Simulation (41 citations) and Animal Science and Zoology (75 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, Peter Marszal, Gary Wong, Hana M. Weingartl, John Copps, Markus Czub, Gregory A. Smith and Darwyn Kobasa. Their work appears in journals such as Journal of Virology, The Journal of Infectious Diseases, Emerging infectious diseases, mBio and Scientific Reports.
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.