Daniela Sansaro
Impact in
- Internal Medicine top 10%
- Venous Thromboembolism Diagnosis and Management
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- Cardiovascular Health and Disease Prevention
- Atrial Fibrillation Management and Outcomes
- Blood Pressure and Hypertension Studies
Papers in
-
- Cardiovascular Health and Disease Prevention 8
- Blood Pressure and Hypertension Studies 6
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- Cerebrovascular and Carotid Artery Diseases 7
- Co-authors
- Damiano Baldassarre (14 shared papers)Mauro Amato (14 shared papers)A. Ravani (14 shared papers)B. Frigerio (14 shared papers)Elena Tremoli (11 shared papers)José Pablo Werba (4 shared papers)Alessandro Di Minno (3 shared papers)Fabrizio Veglia (10 shared papers)
- Journals
- Atherosclerosis (3 papers)Biomedicines (2 papers)Current Pharmaceutical Design (2 papers)Blood Reviews (1 paper)International Journal of Cardiology (1 paper)
- Partner nations
- ItalySwedenNetherlands
In The Last Decade
Daniela Sansaro
13 papers receiving 440 citations
Peers
Comparison fields: 5 of 81
- Internal Medicine 58
- Cardiology and Cardiovascular Medicine 214
- Modeling and Simulation 21
- Infectious Diseases 66
- Health 29
Countries citing papers authored by Daniela Sansaro
This map shows the geographic impact of Daniela Sansaro'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 Daniela Sansaro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Sansaro more than expected).
Fields of papers citing papers by Daniela Sansaro
This network shows the impact of papers produced by Daniela Sansaro. 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 Daniela Sansaro. The network helps show where Daniela Sansaro may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Sansaro, 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 | 2017 | 171 | |
| 2 | 2020 | 99 | |
| 3 | 2017 | 65 | |
| 4 | 2014 | 42 | |
| 5 | 2013 | 27 | |
| 6 | 2018 | 13 | |
| 7 | 2019 | 10 | |
| 8 | 2014 | 8 | |
| 9 | 2014 | 7 | |
| 10 | 2017 | 4 | |
| 11 | 2024 | 3 | |
| 12 | 2021 | 2 | |
| 13 | 2025 | 1 | |
| 14 | 2019 | 0 |
About Daniela Sansaro
Daniela Sansaro is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Public Health, Environmental and Occupational Health, Surgery and Physiology, having authored 14 papers that have together received 452 indexed citations. Recurring topics across this work include Cardiovascular Health and Disease Prevention (8 papers), Cerebrovascular and Carotid Artery Diseases (7 papers), Blood Pressure and Hypertension Studies (6 papers), Nutritional Studies and Diet (3 papers), Diet and metabolism studies (2 papers), Coronary Interventions and Diagnostics (1 paper), Diet, Metabolism, and Disease (1 paper) and Cholesterol and Lipid Metabolism (1 paper). The work is most often cited by research in Internal Medicine (58 citations), Cardiology and Cardiovascular Medicine (214 citations), Modeling and Simulation (21 citations), Infectious Diseases (66 citations) and Health (29 citations). Daniela Sansaro has collaborated with scholars based in Italy, Sweden and Netherlands. Frequent co-authors include Damiano Baldassarre, Mauro Amato, A. Ravani, B. Frigerio, Elena Tremoli, José Pablo Werba, Alessandro Di Minno, Fabrizio Veglia, Mauro Pepi and Gaia Spadarella. Their work appears in journals such as Atherosclerosis, Biomedicines, Current Pharmaceutical Design, Blood Reviews and International Journal of Cardiology.
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.