Ryan Draker
Impact in
- Infectious Diseases top 2%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Viral gastroenteritis research and epidemiology
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
Papers in
-
- Genomics and Chromatin Dynamics 4
- Epigenetics and DNA Methylation 2
- Ubiquitin and proteasome pathways 2
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- SARS-CoV-2 and COVID-19 Research 3
- Viral gastroenteritis research and epidemiology 2
- Co-authors
- Peter Cheung (4 shared papers)Raymond Tellier (4 shared papers)Martin Petric (2 shared papers)Melissa Ayers (2 shared papers)Dena Adachi (2 shared papers)Adrienne K Chan (1 shared paper)Karen Green (1 shared paper)Danuta M. Skowronski (1 shared paper)
- Journals
- Biochemistry and Cell Biology (1 paper)Virus Research (1 paper)American Journal of Transplantation (1 paper)New England Journal of Medicine (1 paper)Molecular and Cellular Biology (1 paper)
- Partner nations
- CanadaUnited States
In The Last Decade
Ryan Draker
9 papers receiving 1.5k citations
Ryan Draker's Hit Papers
Peers
Comparison fields: 5 of 106
- Infectious Diseases 740
- Modeling and Simulation 137
- Animal Science and Zoology 153
- Epidemiology 333
- Critical Care and Intensive Care Medicine 27
Countries citing papers authored by Ryan Draker
This map shows the geographic impact of Ryan Draker'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 Ryan Draker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan Draker more than expected).
Fields of papers citing papers by Ryan Draker
This network shows the impact of papers produced by Ryan Draker. 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 Ryan Draker. The network helps show where Ryan Draker may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryan Draker, 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 | Identification of Severe Acute Respiratory Syndrome in Canada Hit paper breakdown → | 2003 | 919 |
| 2 | 2007 | 147 | |
| 3 | 2003 | 109 | |
| 4 | 2011 | 105 | |
| 5 | 2012 | 85 | |
| 6 | 2005 | 55 | |
| 7 | 2005 | 53 | |
| 8 | 2009 | 50 | |
| 9 | 2004 | 49 |
About Ryan Draker
Ryan Draker is a scholar working on Molecular Biology, Infectious Diseases, Animal Science and Zoology, Epidemiology and Obstetrics and Gynecology, having authored 9 papers that have together received 1.6k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Epigenetics and DNA Methylation (2 papers), Ubiquitin and proteasome pathways (2 papers), Respiratory viral infections research (2 papers), Viral gastroenteritis research and epidemiology (2 papers), Animal Virus Infections Studies (2 papers) and Virology and Viral Diseases (1 paper). The work is most often cited by research in Infectious Diseases (740 citations), Modeling and Simulation (137 citations), Animal Science and Zoology (153 citations), Epidemiology (333 citations) and Critical Care and Intensive Care Medicine (27 citations). Ryan Draker has collaborated with scholars based in Canada and United States. Frequent co-authors include Peter Cheung, Raymond Tellier, Martin Petric, Melissa Ayers, Dena Adachi, Adrienne K Chan, Karen Green, Danuta M. Skowronski, Donald E. Low and David Rose. Their work appears in journals such as Biochemistry and Cell Biology, Virus Research, American Journal of Transplantation, New England Journal of Medicine and Molecular and Cellular Biology.
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.