Sara Whynot
- Anesthesiology and Pain Medicine top 10%
- Pharmaceutical Science top 10%
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- Cannabis and Cannabinoid Research 6
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- Simulation-Based Education in Healthcare 4
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- Sepsis Diagnosis and Treatment 9
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- Immune Response and Inflammation 8
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- Cardiac, Anesthesia and Surgical Outcomes 5
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- Surgical Simulation and Training 3
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- Inhalation and Respiratory Drug Delivery 3
- Respiratory Support and Mechanisms 3
- Co-authors
- Orlando HungPatricia LivingstonChristine LehmannMichael MezeiJuan ZhouDragan PavlovićJonathan G. BaileyVladimír Černý
- Cited by
- Critical Care and Intensive Care MedicineAnesthesiology and Pain MedicinePharmaceutical Science
In The Last Decade
Sara Whynot
34 papers receiving 439 citations
Peers
Comparison fields: 5 of 98
- Critical Care and Intensive Care Medicine 50
- Anesthesiology and Pain Medicine 29
- Pharmaceutical Science 30
- Pharmacology 74
- Physiology 113
Countries citing papers authored by Sara Whynot
This map shows the geographic impact of Sara Whynot'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 Sara Whynot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sara Whynot more than expected).
Fields of papers citing papers by Sara Whynot
This network shows the impact of papers produced by Sara Whynot. 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 Sara Whynot. The network helps show where Sara Whynot may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sara Whynot, 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 | 2022 | 7 | |
| 2 | 2019 | 6 | |
| 3 | 2019 | 26 | |
| 4 | 2017 | 12 | |
| 5 | 2015 | 3 | |
| 6 | 2014 | 12 | |
| 7 | 2014 | 49 | |
| 8 | 2012 | 3 | |
| 9 | 2012 | 47 | |
| 10 | 2012 | 5 | |
| 11 | 2011 | 12 | |
| 12 | 2011 | 13 | |
| 13 | 2011 | 1 | |
| 14 | 2010 | 15 | |
| 15 | 2010 | 14 | |
| 16 | 2008 | 13 | |
| 17 | 2008 | 0 | |
| 18 | 2006 | 14 | |
| 19 | 1997 | 41 | |
| 20 | 1995 | 46 |
About Sara Whynot
Sara Whynot is a scholar working on Critical Care and Intensive Care Medicine, Toxicology and Internal Medicine, having authored 35 papers that have together received 458 indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (9 papers), Immune Response and Inflammation (8 papers), Cannabis and Cannabinoid Research (6 papers), Cardiac, Anesthesia and Surgical Outcomes (5 papers), Simulation-Based Education in Healthcare (4 papers), Surgical Simulation and Training (3 papers), Inhalation and Respiratory Drug Delivery (3 papers) and Respiratory Support and Mechanisms (3 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (50 citations), Anesthesiology and Pain Medicine (29 citations) and Pharmaceutical Science (30 citations). Sara Whynot has collaborated with scholars based in Canada, Germany and Czechia. Frequent co-authors include Orlando Hung, Patricia Livingston, Christine Lehmann, Michael Mezei, Juan Zhou, Dragan Pavlović, Jonathan G. Bailey, Vladimír Černý, Steven L. Shafer and John R. Varvel. Their work appears in journals such as Anesthesia & Analgesia, Critical Care, Canadian Journal of Anesthesia/Journal canadien d anesthésie, Acta Anaesthesiologica Scandinavica and Nutrition.
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.