Elena Tremoli
- Infectious Diseases top 10%
- COVID-19 Clinical Research Studies 3
- Internal Medicine top 10%
- Venous Thromboembolism Diagnosis and Management 2
- Modeling and Simulation top 10%
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- Cardiac Imaging and Diagnostics 3
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- Cardiac Health and Mental Health 3
- Antiplatelet Therapy and Cardiovascular Diseases 3
- Cardiovascular Function and Risk Factors 2
- Cardiac Valve Diseases and Treatments 2
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- Coronary Interventions and Diagnostics 3
- Co-authors
- Fabrizio VegliaFrancesca ColazzoLuigi SironiPaolo GelosaLaura CastiglioniJosé Pablo WerbaBenedetta PorroViviana Cavalca
- Journals
- Scientific Reports (1 paper)International Journal of Molecular Sciences (1 paper)Arteriosclerosis Thrombosis and Vascular Biology (1 paper)
- Partner nations
- ItalyUnited StatesFinland
In The Last Decade
Elena Tremoli
23 papers receiving 548 citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Infectious Diseases 186
- Internal Medicine 33
- Biological Psychiatry 14
- Immunology 100
- Modeling and Simulation 21
Countries citing papers authored by Elena Tremoli
This map shows the geographic impact of Elena Tremoli'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 Elena Tremoli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elena Tremoli more than expected).
Fields of papers citing papers by Elena Tremoli
This network shows the impact of papers produced by Elena Tremoli. 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 Elena Tremoli. The network helps show where Elena Tremoli may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Elena Tremoli, 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 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 7 | |
| 7 | 2022 | 1 | |
| 8 | 2021 | 2 | |
| 9 | Platelet and Endothelial Activation as Potential Mechanisms Behind the Thrombotic Complications of COVID-19 Patientsbreakdown → | 2021 | 154 |
| 10 | 2021 | 9 | |
| 11 | 2020 | 99 | |
| 12 | 2020 | 16 | |
| 13 | 2020 | 3 | |
| 14 | 2019 | 5 | |
| 15 | 2019 | 6 | |
| 16 | 2019 | 44 | |
| 17 | 2017 | 6 | |
| 18 | 2017 | 18 | |
| 19 | 2017 | 53 | |
| 20 | 2016 | 21 |
About Elena Tremoli
Elena Tremoli is a scholar working on Health Informatics, Internal Medicine and Cardiology and Cardiovascular Medicine, having authored 26 papers that have together received 556 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (3 papers), Cardiac Imaging and Diagnostics (3 papers), Cardiac Health and Mental Health (3 papers), Coronary Interventions and Diagnostics (3 papers), Antiplatelet Therapy and Cardiovascular Diseases (3 papers), Cardiovascular Function and Risk Factors (2 papers), Venous Thromboembolism Diagnosis and Management (2 papers) and Cardiac Valve Diseases and Treatments (2 papers). The work is most often cited by research in Infectious Diseases (186 citations), Internal Medicine (33 citations) and Biological Psychiatry (14 citations). Elena Tremoli has collaborated with scholars based in Italy, United States and Finland. Frequent co-authors include Fabrizio Veglia, Francesca Colazzo, Luigi Sironi, Paolo Gelosa, Laura Castiglioni, José Pablo Werba, Benedetta Porro, Viviana Cavalca, Susanna Fiorelli and Nicola Cosentino. Their work appears in journals such as Scientific Reports, International Journal of Molecular Sciences and Arteriosclerosis Thrombosis and Vascular Biology.
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.