Maya Serhal
Impact in
- Internal Medicine top 5%
- Venous Thromboembolism Diagnosis and Management
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- Ultrasound in Clinical Applications
Papers in
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- Viral Infections and Immunology Research 1
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- Venous Thromboembolism Diagnosis and Management 4
- Co-authors
- Geoffrey D. Barnes (2 shared papers)Mehdi H. Shishehbor (3 shared papers)John R. Bartholomew (2 shared papers)Gustavo A. Heresi (2 shared papers)Ihab Haddadin (2 shared papers)Esther Kim (1 shared paper)Bernard Silver (1 shared paper)Seth R. Bauer (1 shared paper)
- Journals
- Journal of Thrombosis and Thrombolysis (2 papers)Vascular Medicine (2 papers)Journal of Vascular Surgery (1 paper)Journal of the American College of Cardiology (1 paper)Journal of Cardiovascular Pharmacology (1 paper)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Maya Serhal
9 papers receiving 123 citations
Peers
Comparison fields: 5 of 31
- Internal Medicine 77
- Critical Care and Intensive Care Medicine 11
- Cardiology and Cardiovascular Medicine 42
- Emergency Medical Services 13
- Epidemiology 25
Countries citing papers authored by Maya Serhal
This map shows the geographic impact of Maya Serhal'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 Maya Serhal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maya Serhal more than expected).
Fields of papers citing papers by Maya Serhal
This network shows the impact of papers produced by Maya Serhal. 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 Maya Serhal. The network helps show where Maya Serhal may publish in the future.
Co-authors
The 25 scholars most cited alongside Maya Serhal, 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 | 2018 | 43 | |
| 2 | 2019 | 23 | |
| 3 | 2017 | 22 | |
| 4 | 2017 | 9 | |
| 5 | 2016 | 9 | |
| 6 | 2015 | 8 | |
| 7 | 2024 | 4 | |
| 8 | 2014 | 4 | |
| 9 | 2022 | 2 |
About Maya Serhal
Maya Serhal is a scholar working on Cardiology and Cardiovascular Medicine, Internal Medicine, Surgery, Epidemiology and Emergency Medical Services, having authored 9 papers that have together received 124 indexed citations. Recurring topics across this work include Venous Thromboembolism Diagnosis and Management (4 papers), Peripheral Artery Disease Management (2 papers), Central Venous Catheters and Hemodialysis (2 papers), Acute Ischemic Stroke Management (2 papers), Viral Infections and Immunology Research (1 paper), Pneumocystis jirovecii pneumonia detection and treatment (1 paper), Renal and Vascular Pathologies (1 paper) and Abdominal vascular conditions and treatments (1 paper). The work is most often cited by research in Internal Medicine (77 citations), Critical Care and Intensive Care Medicine (11 citations), Cardiology and Cardiovascular Medicine (42 citations), Emergency Medical Services (13 citations) and Epidemiology (25 citations). Maya Serhal has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Geoffrey D. Barnes, Mehdi H. Shishehbor, John R. Bartholomew, Gustavo A. Heresi, Ihab Haddadin, Esther Kim, Bernard Silver, Seth R. Bauer, Natalie Evans and Marcelo Gomes. Their work appears in journals such as Journal of Thrombosis and Thrombolysis, Vascular Medicine, Journal of Vascular Surgery, Journal of the American College of Cardiology and Journal of Cardiovascular Pharmacology.
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.