Jeff E. Powis
Impact in
- Infectious Diseases top 10%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Neurology top 10%
- Long-Term Effects of COVID-19
Papers in
-
- COVID-19 Clinical Research Studies 5
- SARS-CoV-2 and COVID-19 Research 1
-
- Intensive Care Unit Cognitive Disorders 1
- Co-authors
- Jerome Allen Leis (2 shared papers)Kevin C Katz (1 shared paper)Wil Ng (1 shared paper)Michelle E. Science (1 shared paper)Alon Vaisman (1 shared paper)Susy S. Hota (1 shared paper)Helen Elizabeth Groves (1 shared paper)Jennie Johnstone (1 shared paper)
- Journals
- International Journal of Epidemiology (1 paper)JAMA Network Open (1 paper)Brain (1 paper)Clinical Microbiology and Infection (1 paper)Critical Care (1 paper)
- Partner nations
- CanadaUnited KingdomFrance
In The Last Decade
Jeff E. Powis
15 papers receiving 429 citations
Jeff E. Powis's Hit Papers
Peers
Comparison fields: 5 of 72
- Infectious Diseases 194
- Neurology 122
- Critical Care and Intensive Care Medicine 21
- Immunology 60
- Applied Microbiology and Biotechnology 5
Countries citing papers authored by Jeff E. Powis
This map shows the geographic impact of Jeff E. Powis'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 Jeff E. Powis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeff E. Powis more than expected).
Fields of papers citing papers by Jeff E. Powis
This network shows the impact of papers produced by Jeff E. Powis. 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 Jeff E. Powis. The network helps show where Jeff E. Powis may publish in the future.
Co-authors
The 20 scholars most cited alongside Jeff E. Powis, 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 | Peginterferon lambda for the treatment of outpatients with COVID-19: a phase 2, placebo-controlled randomised trial Hit paper breakdown → | 2021 | 187 |
| 2 | 2021 | 60 | |
| 3 | 2022 | 58 | |
| 4 | 2023 | 36 | |
| 5 | 2023 | 27 | |
| 6 | 2020 | 25 | |
| 7 | 2022 | 23 | |
| 8 | 2023 | 13 | |
| 9 | 2023 | 6 | |
| 10 | 2024 | 6 | |
| 11 | 2025 | 2 | |
| 12 | 2023 | 2 | |
| 13 | 2023 | 2 | |
| 14 | 2023 | 1 | |
| 15 | 2024 | 1 | |
| 16 | 2025 | 0 |
About Jeff E. Powis
Jeff E. Powis is a scholar working on Infectious Diseases, Critical Care and Intensive Care Medicine, Modeling and Simulation, Oncology and Nephrology, having authored 16 papers that have together received 449 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (5 papers), COVID-19 and healthcare impacts (2 papers), Infection Control and Ventilation (1 paper), COVID-19 epidemiological studies (1 paper), Intensive Care Unit Cognitive Disorders (1 paper), Sepsis Diagnosis and Treatment (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper) and Acute Kidney Injury Research (1 paper). The work is most often cited by research in Infectious Diseases (194 citations), Neurology (122 citations), Critical Care and Intensive Care Medicine (21 citations), Immunology (60 citations) and Applied Microbiology and Biotechnology (5 citations). Jeff E. Powis has collaborated with scholars based in Canada, United Kingdom and France. Frequent co-authors include Jerome Allen Leis, Kevin C Katz, Wil Ng, Michelle E. Science, Alon Vaisman, Susy S. Hota, Helen Elizabeth Groves, Jennie Johnstone, Victoria L. Williams and ALEXANDER J. KISS. Their work appears in journals such as International Journal of Epidemiology, JAMA Network Open, Brain, Clinical Microbiology and Infection and Critical Care.
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.