Matthew Ventresca
Impact in
- Internal Medicine top 10%
- Venous Thromboembolism Diagnosis and Management
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- Meta-analysis and systematic reviews
Papers in
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- Atrial Fibrillation Management and Outcomes 3
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- Venous Thromboembolism Diagnosis and Management 3
- Co-authors
- Jennifer Brady (1 shared paper)Holger J. Schünemann (6 shared papers)Qi Zhou (3 shared papers)Nancy Santesso (4 shared papers)Elena Tsangaris (1 shared paper)Mike Clarke (1 shared paper)Gareth Griffiths (1 shared paper)Nora Fayed (1 shared paper)
- Journals
- Journal of Clinical Epidemiology (3 papers)BMJ Open (1 paper)Brain Communications (1 paper)The Journal of Urology (1 paper)Food and Foodways (1 paper)
- Partner nations
- CanadaUnited StatesNetherlands
In The Last Decade
Matthew Ventresca
13 papers receiving 181 citations
Peers
Comparison fields: 5 of 77
- Internal Medicine 30
- Statistics, Probability and Uncertainty 37
- Applied Microbiology and Biotechnology 6
- Cardiology and Cardiovascular Medicine 40
- Pharmacy 8
Countries citing papers authored by Matthew Ventresca
This map shows the geographic impact of Matthew Ventresca'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 Matthew Ventresca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Ventresca more than expected).
Fields of papers citing papers by Matthew Ventresca
This network shows the impact of papers produced by Matthew Ventresca. 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 Matthew Ventresca. The network helps show where Matthew Ventresca may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew Ventresca, 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 | 2020 | 48 | |
| 2 | 2013 | 23 | |
| 3 | 2013 | 23 | |
| 4 | 2014 | 19 | |
| 5 | 2016 | 16 | |
| 6 | 2017 | 12 | |
| 7 | 2021 | 10 | |
| 8 | 2014 | 10 | |
| 9 | 2020 | 10 | |
| 10 | 2017 | 9 | |
| 11 | 2024 | 3 | |
| 12 | 2024 | 1 | |
| 13 | 2020 | 1 |
About Matthew Ventresca
Matthew Ventresca is a scholar working on Cardiology and Cardiovascular Medicine, Internal Medicine, Public Health, Environmental and Occupational Health, Economics and Econometrics and Statistics, Probability and Uncertainty, having authored 13 papers that have together received 185 indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (3 papers), Atrial Fibrillation Management and Outcomes (3 papers), Venous Thromboembolism Diagnosis and Management (3 papers), Meta-analysis and systematic reviews (3 papers), Vitamin K Research Studies (2 papers), Functional Brain Connectivity Studies (2 papers), Clinical practice guidelines implementation (2 papers) and Advanced Neuroimaging Techniques and Applications (1 paper). The work is most often cited by research in Internal Medicine (30 citations), Statistics, Probability and Uncertainty (37 citations), Applied Microbiology and Biotechnology (6 citations), Cardiology and Cardiovascular Medicine (40 citations) and Pharmacy (8 citations). Matthew Ventresca has collaborated with scholars based in Canada, United States and Netherlands. Frequent co-authors include Jennifer Brady, Holger J. Schünemann, Qi Zhou, Nancy Santesso, Elena Tsangaris, Mike Clarke, Gareth Griffiths, Nora Fayed, Luciane Cruz Lopes and Lehana Thabane. Their work appears in journals such as Journal of Clinical Epidemiology, BMJ Open, Brain Communications, The Journal of Urology and Food and Foodways.
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.