Wael Sumaya
- Cardiology and Cardiovascular Medicine top 10%
- Surgery
- Internal Medicine top 5%
- Pulmonary and Respiratory Medicine
- Endocrinology, Diabetes and Metabolism
- Co-authors
- Robert F. StoreyRamzi AjjanAgneta SiegbahnAnders HimmelmännLars WallentinStefan JamesMaria BertilssonJulian Gunn
- Topics
- Antiplatelet Therapy and Cardiovascular Diseases (10 papers)Acute Myocardial Infarction Research (9 papers)Venous Thromboembolism Diagnosis and Management (9 papers)
- Journals
- CirculationJournal of the American College of CardiologyCochrane Database of Systematic Reviews
- Partner nations
- United KingdomCanadaUnited States
In The Last Decade
Wael Sumaya
18 papers receiving 375 citations
Peers
Comparison fields: 5 of 59
- Cardiology and Cardiovascular Medicine 269
- Surgery 148
- Internal Medicine 93
- Pulmonary and Respiratory Medicine 75
- Endocrinology, Diabetes and Metabolism 38
Countries citing papers authored by Wael Sumaya
This map shows the geographic impact of Wael Sumaya'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 Wael Sumaya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wael Sumaya more than expected).
Fields of papers citing papers by Wael Sumaya
This network shows the impact of papers produced by Wael Sumaya. 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 Wael Sumaya. The network helps show where Wael Sumaya may publish in the future.
Co-authorship network of co-authors of Wael Sumaya
This figure shows the co-authorship network connecting the top 25 collaborators of Wael Sumaya. A scholar is included among the top collaborators of Wael Sumaya based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wael Sumaya. Wael Sumaya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 5 | |
| 8 | 35 | |
| 9 | 9 | |
| 10 | 27 | |
| 11 | 1 | |
| 12 | 25 | |
| 13 | 55 | |
| 14 | 117 | |
| 15 | 15 | |
| 16 | 7 | |
| 17 | 65 | |
| 18 | 3 |
About Wael Sumaya
Wael Sumaya is a scholar working on Internal Medicine, Cardiology and Cardiovascular Medicine and Statistics, Probability and Uncertainty, having authored 18 papers that have together received 380 indexed citations. Recurring topics across this work include Antiplatelet Therapy and Cardiovascular Diseases (10 papers), Acute Myocardial Infarction Research (9 papers) and Venous Thromboembolism Diagnosis and Management (9 papers). The work is most often cited by research in Internal Medicine (93 citations), Cardiology and Cardiovascular Medicine (269 citations) and Surgery (148 citations). Wael Sumaya has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include Robert F. Storey, Ramzi Ajjan, Agneta Siegbahn, Anders Himmelmänn, Lars Wallentin, Stefan James, Maria Bertilsson, Julian Gunn, Javaid Iqbal and Ever Grech. Their work appears in journals such as Circulation, Journal of the American College of Cardiology and Cochrane Database of Systematic Reviews.
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.