Robert Sorrentino
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- Cardiac pacing and defibrillation studies 10
- Cardiac Arrhythmias and Treatments 8
- Cardiac electrophysiology and arrhythmias 7
- Atrial Fibrillation Management and Outcomes 5
- Cardiovascular Function and Risk Factors 3
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- Computational Drug Discovery Methods 4
- Toxicology top 10%
- Pharmacology top 10%
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- Biomedical Text Mining and Ontologies 6
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- Machine Learning in Healthcare 3
- Co-authors
- Ping ZhangFei WangJianying HuRuth Ann GreenfieldRaymond SchaerfCHARLES L. BYRDChristopher ReiserVictor Parsonnet
- Cited by
- Cardiology and Cardiovascular MedicineComputational Theory and MathematicsHealth Information Management
- Journals
- Circulation (2 papers)Journal of the American College of Cardiology (8 papers)Scientific Reports (1 paper)
- Partner nations
- United StatesItalyCanada
In The Last Decade
Robert Sorrentino
30 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 97
- Cardiology and Cardiovascular Medicine 656
- Computational Theory and Mathematics 215
- Health Information Management 54
- Toxicology 32
- Pharmacology 58
Countries citing papers authored by Robert Sorrentino
This map shows the geographic impact of Robert Sorrentino'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 Robert Sorrentino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Sorrentino more than expected).
Fields of papers citing papers by Robert Sorrentino
This network shows the impact of papers produced by Robert Sorrentino. 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 Robert Sorrentino. The network helps show where Robert Sorrentino may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Robert Sorrentino, 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 | 2025 | 0 | |
| 2 | 2017 | 1 | |
| 3 | 2016 | 13 | |
| 4 | 2016 | 1 | |
| 5 | 2015 | 47 | |
| 6 | 2015 | 177 | |
| 7 | 2014 | 46 | |
| 8 | 2013 | 23 | |
| 9 | Exploring the relationship between drug side-effects and therapeutic indications. | 2013 | 28 |
| 10 | 2012 | 1 | |
| 11 | 2012 | 16 | |
| 12 | 2010 | 26 | |
| 13 | 2007 | 11 | |
| 14 | 1999 | 308 | |
| 15 | 1995 | 2 | |
| 16 | 1995 | 1 | |
| 17 | 1995 | 4 | |
| 18 | 1995 | 3 | |
| 19 | 1994 | 35 | |
| 20 | 1993 | 44 |
About Robert Sorrentino
Robert Sorrentino is a scholar working on Cardiology and Cardiovascular Medicine, Health Information Management and Pharmacology, having authored 32 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cardiac pacing and defibrillation studies (10 papers), Cardiac Arrhythmias and Treatments (8 papers), Cardiac electrophysiology and arrhythmias (7 papers), Biomedical Text Mining and Ontologies (6 papers), Atrial Fibrillation Management and Outcomes (5 papers), Computational Drug Discovery Methods (4 papers), Machine Learning in Healthcare (3 papers) and Cardiovascular Function and Risk Factors (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (656 citations), Computational Theory and Mathematics (215 citations) and Health Information Management (54 citations). Robert Sorrentino has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Ping Zhang, Fei Wang, Jianying Hu, Jianying Hu, Ruth Ann Greenfield, Raymond Schaerf, CHARLES L. BYRD, Christopher Reiser, Victor Parsonnet and Charles J. Love. Their work appears in journals such as Circulation, Journal of the American College of Cardiology and Scientific Reports.
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.