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
-
- SARS-CoV-2 and COVID-19 Research 3
- COVID-19 Clinical Research Studies 2
- Viral gastroenteritis research and epidemiology 2
-
- Genomics and Chromatin Dynamics 4
- Epigenetics and DNA Methylation 2
- Ubiquitin and proteasome pathways 2
- Co-authors
- Peter Cheung (4 shared papers)Raymond Tellier (4 shared papers)Martin Petric (2 shared papers)Dena Adachi (2 shared papers)Melissa Ayers (2 shared papers)Susan M. Poutanen (1 shared paper)David Rose (1 shared paper)Andrew E. Simor (1 shared paper)
- Journals
- Virus Research (1 paper)Biochemistry and Cell Biology (1 paper)PLoS Genetics (1 paper)New England Journal of Medicine (1 paper)Nucleic Acids Research (1 paper)
- Partner nations
- CanadaUnited States
In The Last Decade
Ryan Draker
9 papers receiving 1.4k citations
Ryan Draker's Hit Papers
Peers
Comparison fields: 5 of 107
- Infectious Diseases 807
- Modeling and Simulation 154
- Animal Science and Zoology 154
- Epidemiology 370
- Emergency Medical Services 51
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 | 867 |
| 2 | 2007 | 137 | |
| 3 | 2003 | 104 | |
| 4 | 2011 | 98 | |
| 5 | 2012 | 79 | |
| 6 | 2005 | 53 | |
| 7 | 2009 | 50 | |
| 8 | 2005 | 47 | |
| 9 | 2004 | 44 |
About Ryan Draker
Ryan Draker is a scholar working on Infectious Diseases, Molecular Biology, Animal Science and Zoology, Epidemiology and Pulmonary and Respiratory Medicine, having authored 9 papers that have together received 1.5k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Animal Virus Infections Studies (2 papers), Epigenetics and DNA Methylation (2 papers), Respiratory viral infections research (2 papers), COVID-19 Clinical Research Studies (2 papers), Viral gastroenteritis research and epidemiology (2 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Infectious Diseases (807 citations), Modeling and Simulation (154 citations), Animal Science and Zoology (154 citations), Epidemiology (370 citations) and Emergency Medical Services (51 citations). Ryan Draker has collaborated with scholars based in Canada and United States. Frequent co-authors include Peter Cheung, Raymond Tellier, Martin Petric, Dena Adachi, Melissa Ayers, Susan M. Poutanen, David Rose, Andrew E. Simor, Danuta M. Skowronski and Adrienne K Chan. Their work appears in journals such as Virus Research, Biochemistry and Cell Biology, PLoS Genetics, New England Journal of Medicine and Nucleic Acids Research.
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.