Steven J. Drews
- Microbiology top 0.5%
- Bacterial Infections and Vaccines 24
- Infectious Diseases top 0.5%
- SARS-CoV-2 and COVID-19 Research 34
- COVID-19 Clinical Research Studies 24
- Viral gastroenteritis research and epidemiology 23
- SARS-CoV-2 detection and testing 14
- Epidemiology top 0.5%
- Respiratory viral infections research 58
- Influenza Virus Research Studies 56
- Pneumonia and Respiratory Infections 28
- Modeling and Simulation top 1%
- Health top 2%
- Co-authors
- Cameron GriffithsDavid MarchantNathalie BastienDanuta M. SkowronskiGaston De SerresJonathan B. GubbayJames A. DickinsonMel Krajden
- Journals
- SHILAP Revista de lepidopterología (1 paper)Annals of Internal Medicine (1 paper)PLoS ONE (5 papers)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Steven J. Drews
176 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Microbiology 624
- Infectious Diseases 1.7k
- Epidemiology 2.5k
- Modeling and Simulation 216
- Health 249
Countries citing papers authored by Steven J. Drews
This map shows the geographic impact of Steven J. Drews'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 Steven J. Drews with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven J. Drews more than expected).
Fields of papers citing papers by Steven J. Drews
This network shows the impact of papers produced by Steven J. Drews. 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 Steven J. Drews. The network helps show where Steven J. Drews may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Steven J. Drews, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 7 | |
| 5 | 2024 | 2 | |
| 6 | 2023 | 0 | |
| 7 | 2023 | 2 | |
| 8 | 2022 | 1 | |
| 9 | 2022 | 7 | |
| 10 | 2021 | 12 | |
| 11 | 2021 | 3 | |
| 12 | 2021 | 35 | |
| 13 | 2021 | 9 | |
| 14 | 2020 | 30 | |
| 15 | 2019 | 3 | |
| 16 | 2017 | 11 | |
| 17 | 2017 | 17 | |
| 18 | 2015 | 33 | |
| 19 | 2012 | 48 | |
| 20 | Use of the Seeplex RV Detection kit for surveillance of respiratory viral outbreaks in Toronto, Ontario, Canada. | 2008 | 21 |
About Steven J. Drews
Steven J. Drews is a scholar working on Infectious Diseases, Microbiology and Epidemiology, having authored 186 papers that have together received 3.9k indexed citations. Recurring topics across this work include Respiratory viral infections research (58 papers), Influenza Virus Research Studies (56 papers), SARS-CoV-2 and COVID-19 Research (34 papers), Pneumonia and Respiratory Infections (28 papers), COVID-19 Clinical Research Studies (24 papers), Bacterial Infections and Vaccines (24 papers), Viral gastroenteritis research and epidemiology (23 papers) and SARS-CoV-2 detection and testing (14 papers). The work is most often cited by research in Microbiology (624 citations), Infectious Diseases (1.7k citations) and Epidemiology (2.5k citations). Steven J. Drews has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Cameron Griffiths, David Marchant, Nathalie Bastien, Danuta M. Skowronski, Gaston De Serres, Jonathan B. Gubbay, James A. Dickinson, Mel Krajden, Catharine Chambers and David N. Fisman. Their work appears in journals such as SHILAP Revista de lepidopterología, Annals of Internal Medicine and PLoS ONE.
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.