Sameer Bansilal
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- Antiplatelet Therapy and Cardiovascular Diseases 15
- Acute Myocardial Infarction Research 10
- Cardiovascular Health and Risk Factors 9
- Blood Pressure and Hypertension Studies 8
- Family Practice top 1%
- Internal Medicine top 5%
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- Cardiac Imaging and Diagnostics 10
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- Coronary Interventions and Diagnostics 11
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- Obesity, Physical Activity, Diet 9
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- Cerebrovascular and Carotid Artery Diseases 9
- Co-authors
- Valentı́n FusterMichael E. FarkouhJosé M. CastellanoZahi A. FayadJames H.F. RuddJosef MacháčKelly S. MyersAshish Aneja
- Journals
- Journal of the American College of Cardiology (17 papers)American Heart Journal (11 papers)The American Journal of Cardiology (4 papers)
- Partner nations
- United StatesSpainUnited Kingdom
In The Last Decade
Sameer Bansilal
68 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 122
- Cardiology and Cardiovascular Medicine 1.6k
- Family Practice 156
- Internal Medicine 135
- Radiology, Nuclear Medicine and Imaging 705
- Endocrinology, Diabetes and Metabolism 436
Countries citing papers authored by Sameer Bansilal
This map shows the geographic impact of Sameer Bansilal'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 Sameer Bansilal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sameer Bansilal more than expected).
Fields of papers citing papers by Sameer Bansilal
This network shows the impact of papers produced by Sameer Bansilal. 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 Sameer Bansilal. The network helps show where Sameer Bansilal may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sameer Bansilal, 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 | 9 | |
| 2 | 2021 | 7 | |
| 3 | 2019 | 4 | |
| 4 | 2019 | 1 | |
| 5 | 2019 | 11 | |
| 6 | 2016 | 6 | |
| 7 | 2016 | 64 | |
| 8 | 2016 | 3 | |
| 9 | 2016 | 192 | |
| 10 | 2016 | 22 | |
| 11 | 2015 | 1 | |
| 12 | 2015 | 82 | |
| 13 | 2014 | 56 | |
| 14 | 2014 | 19 | |
| 15 | 2014 | 3 | |
| 16 | 2012 | 23 | |
| 17 | 2008 | 2 | |
| 18 | 2008 | 391 | |
| 19 | 2007 | 2 | |
| 20 | 2006 | 87 |
About Sameer Bansilal
Sameer Bansilal is a scholar working on Cardiology and Cardiovascular Medicine, Family Practice and Internal Medicine, having authored 68 papers that have together received 3.2k indexed citations. Recurring topics across this work include Antiplatelet Therapy and Cardiovascular Diseases (15 papers), Coronary Interventions and Diagnostics (11 papers), Cardiac Imaging and Diagnostics (10 papers), Acute Myocardial Infarction Research (10 papers), Obesity, Physical Activity, Diet (9 papers), Cerebrovascular and Carotid Artery Diseases (9 papers), Cardiovascular Health and Risk Factors (9 papers) and Blood Pressure and Hypertension Studies (8 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.6k citations), Family Practice (156 citations) and Internal Medicine (135 citations). Sameer Bansilal has collaborated with scholars based in United States, Spain and United Kingdom. Frequent co-authors include Valentı́n Fuster, Michael E. Farkouh, José M. Castellano, Zahi A. Fayad, James H.F. Rudd, Josef Macháč, Kelly S. Myers, Ashish Aneja, W.H. Wilson Tang and Mario J. García. Their work appears in journals such as Journal of the American College of Cardiology, American Heart Journal, The American Journal of Cardiology, International Journal of Cardiology and Circulation.
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.