Sara Whynot
Impact in
- Anesthesiology and Pain Medicine top 10%
Papers in
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- Cannabis and Cannabinoid Research 5
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- Sepsis Diagnosis and Treatment 6
- Co-authors
- Orlando Hung (21 shared papers)Patricia Livingston (6 shared papers)Christine Lehmann (20 shared papers)Michael Mezei (3 shared papers)Juan Zhou (13 shared papers)Jonathan G. Bailey (3 shared papers)Vladimír Černý (9 shared papers)John R. Varvel (1 shared paper)
In The Last Decade
Sara Whynot
34 papers receiving 458 citations
Peers
Comparison fields: 5 of 91
- Critical Care and Intensive Care Medicine 27
- Anesthesiology and Pain Medicine 23
- Pharmacology 74
- Pharmaceutical Science 28
- Physiology 85
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-authors
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
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 53 | |
| 2 | 2012 | 50 | |
| 3 | 2014 | 49 | |
| 4 | 1997 | 45 | |
| 5 | 2016 | 33 | |
| 6 | 2019 | 28 | |
| 7 | 2013 | 17 | |
| 8 | 2006 | 15 | |
| 9 | 2010 | 15 | |
| 10 | 2017 | 14 | |
| 11 | 2010 | 14 | |
| 12 | 2010 | 13 | |
| 13 | 2011 | 13 | |
| 14 | 2011 | 13 | |
| 15 | 2008 | 13 | |
| 16 | 2014 | 12 | |
| 17 | 2021 | 9 | |
| 18 | 2014 | 8 | |
| 19 | 2019 | 8 | |
| 20 | 2012 | 8 |
About Sara Whynot
Sara Whynot is a scholar working on Pharmacology, Epidemiology, Critical Care and Intensive Care Medicine, Pulmonary and Respiratory Medicine and Immunology, having authored 35 papers that have together received 485 indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (6 papers), Cannabis and Cannabinoid Research (5 papers), Immune Response and Inflammation (4 papers), Respiratory Support and Mechanisms (3 papers), Nosocomial Infections in ICU (3 papers), Intensive Care Unit Cognitive Disorders (3 papers), Simulation-Based Education in Healthcare (2 papers) and Forensic Toxicology and Drug Analysis (2 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (27 citations), Anesthesiology and Pain Medicine (23 citations), Pharmacology (74 citations), Pharmaceutical Science (28 citations) and Physiology (85 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, Jonathan G. Bailey, Vladimír Černý, John R. Varvel, Dragan Pavlović and Michael Murphy. Their work appears in journals such as Anesthesia & Analgesia, Critical Care, Canadian Journal of Anesthesia/Journal canadien d anesthésie, Thrombosis and Haemostasis and Drug Delivery.
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.