Darryl Wan
Impact in
- Pathology and Forensic Medicine top 10%
- Spinal Cord Injury Research
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- Heart Rate Variability and Autonomic Control
Papers in
-
- Cardiac Arrhythmias and Treatments 4
- Atrial Fibrillation Management and Outcomes 2
- Cardiovascular Issues in Pregnancy 2
- Surgery 6
- Peripheral Artery Disease Management 3
- Co-authors
- Andrei V. Krassioukov (1 shared paper)Sonia S. Anand (4 shared papers)Tara Sedlak (1 shared paper)Thalia S. Field (1 shared paper)Karin H. Humphries (1 shared paper)Jason G. Andrade (1 shared paper)Zachary Laksman (1 shared paper)Santabhanu Chakrabarti (4 shared papers)
- Journals
- Canadian Journal of Cardiology (7 papers)European Journal of Preventive Cardiology (1 paper)Reviews in Cardiovascular Medicine (1 paper)Open Heart (1 paper)Journal of Arrhythmia (1 paper)
- Partner nations
- CanadaUnited StatesItaly
In The Last Decade
Darryl Wan
12 papers receiving 239 citations
Peers
Comparison fields: 5 of 55
- Pathology and Forensic Medicine 119
- Cardiology and Cardiovascular Medicine 85
- Rehabilitation 21
- Urology 19
- Emergency Medicine 25
Countries citing papers authored by Darryl Wan
This map shows the geographic impact of Darryl Wan'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 Darryl Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Darryl Wan more than expected).
Fields of papers citing papers by Darryl Wan
This network shows the impact of papers produced by Darryl Wan. 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 Darryl Wan. The network helps show where Darryl Wan may publish in the future.
Co-authors
The 25 scholars most cited alongside Darryl Wan, 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 | 2013 | 143 | |
| 2 | 2022 | 24 | |
| 3 | 2022 | 14 | |
| 4 | 2021 | 12 | |
| 5 | 2020 | 10 | |
| 6 | 2017 | 9 | |
| 7 | 2023 | 8 | |
| 8 | 2019 | 8 | |
| 9 | 2022 | 7 | |
| 10 | 2021 | 4 | |
| 11 | 2017 | 2 | |
| 12 | 2016 | 2 | |
| 13 | 2025 | 0 | |
| 14 | 2017 | 0 | |
| 15 | 2025 | 0 |
About Darryl Wan
Darryl Wan is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Pulmonary and Respiratory Medicine, Epidemiology and Public Health, Environmental and Occupational Health, having authored 15 papers that have together received 243 indexed citations. Recurring topics across this work include Cardiac Arrhythmias and Treatments (4 papers), Congenital Heart Disease Studies (4 papers), Peripheral Artery Disease Management (3 papers), Cerebrovascular and Carotid Artery Diseases (3 papers), Atrial Fibrillation Management and Outcomes (2 papers), Coronary Artery Anomalies (2 papers), Venous Thromboembolism Diagnosis and Management (2 papers) and Cardiovascular Issues in Pregnancy (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (119 citations), Cardiology and Cardiovascular Medicine (85 citations), Rehabilitation (21 citations), Urology (19 citations) and Emergency Medicine (25 citations). Darryl Wan has collaborated with scholars based in Canada, United States and Italy. Frequent co-authors include Andrei V. Krassioukov, Sonia S. Anand, Tara Sedlak, Thalia S. Field, Karin H. Humphries, Jason G. Andrade, Zachary Laksman, Santabhanu Chakrabarti, Jasmine Grewal and Marla Kiess. Their work appears in journals such as Canadian Journal of Cardiology, European Journal of Preventive Cardiology, Reviews in Cardiovascular Medicine, Open Heart and Journal of Arrhythmia.
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.