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
- Viral gastroenteritis research and epidemiology 2
- COVID-19 Clinical Research Studies 1
-
- Animal Virus Infections Studies 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)David Edward Rose (1 shared paper)Mel Krajden (1 shared paper)Susan Marie Poutanen (1 shared paper)
- Journals
- Molecular and Cellular Biology (1 paper)Nucleic Acids Research (1 paper)New England Journal of Medicine (1 paper)American Journal of Transplantation (1 paper)PLoS Genetics (1 paper)
- Partner nations
- CanadaUnited States
In The Last Decade
Ryan Draker
9 papers receiving 1.6k citations
Ryan Draker's Hit Papers
Peers
Comparison fields: 5 of 103
- Infectious Diseases 773
- Modeling and Simulation 139
- Animal Science and Zoology 161
- Epidemiology 351
- Obstetrics and Gynecology 47
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 | 967 |
| 2 | 2007 | 151 | |
| 3 | 2003 | 124 | |
| 4 | 2011 | 107 | |
| 5 | 2012 | 87 | |
| 6 | 2005 | 54 | |
| 7 | 2005 | 53 | |
| 8 | 2004 | 49 | |
| 9 | 2009 | 48 |
About Ryan Draker
Ryan Draker is a scholar working on Infectious Diseases, Animal Science and Zoology, Obstetrics and Gynecology, Molecular Biology and Epidemiology, 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), Viral gastroenteritis research and epidemiology (2 papers), Animal Virus Infections Studies (2 papers), Respiratory viral infections research (2 papers), Epigenetics and DNA Methylation (2 papers), Ubiquitin and proteasome pathways (2 papers) and COVID-19 Clinical Research Studies (1 paper). The work is most often cited by research in Infectious Diseases (773 citations), Modeling and Simulation (139 citations), Animal Science and Zoology (161 citations), Epidemiology (351 citations) and Obstetrics and Gynecology (47 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, David Edward Rose, Mel Krajden, Susan Marie Poutanen, Donald E. Low and Danuta M. Skowronski. Their work appears in journals such as Molecular and Cellular Biology, Nucleic Acids Research, New England Journal of Medicine, American Journal of Transplantation and PLoS Genetics.
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.