Silvia Passantino
- Cardiology and Cardiovascular Medicine top 10%
- Epidemiology
- Molecular Biology
- Surgery
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Iacopo OlivottoSilvia FavilliFrancesca GirolamiNiccolò MauriziFranco CecchiAlessia TomberliNiccolò MarchionniMattia Targetti
- Topics
- Cardiomyopathy and Myosin Studies (18 papers)Cardiovascular Function and Risk Factors (8 papers)Cardiovascular Effects of Exercise (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaEuropean Heart JournalThe American Journal of Cardiology
- Partner nations
- ItalyUnited KingdomSwitzerland
In The Last Decade
Silvia Passantino
26 papers receiving 227 citations
Peers
Comparison fields: 5 of 38
- Cardiology and Cardiovascular Medicine 195
- Epidemiology 50
- Molecular Biology 44
- Surgery 29
- Radiology, Nuclear Medicine and Imaging 28
Countries citing papers authored by Silvia Passantino
This map shows the geographic impact of Silvia Passantino'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 Silvia Passantino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Silvia Passantino more than expected).
Fields of papers citing papers by Silvia Passantino
This network shows the impact of papers produced by Silvia Passantino. 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 Silvia Passantino. The network helps show where Silvia Passantino may publish in the future.
Co-authorship network of co-authors of Silvia Passantino
This figure shows the co-authorship network connecting the top 25 collaborators of Silvia Passantino. A scholar is included among the top collaborators of Silvia Passantino based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Silvia Passantino. Silvia Passantino is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 6 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 5 | |
| 7 | 14 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 8 | |
| 11 | 1 | |
| 12 | 2 | |
| 13 | 14 | |
| 14 | 2 | |
| 15 | 1 | |
| 16 | 2 | |
| 17 | 12 | |
| 18 | 15 | |
| 19 | 2 | |
| 20 | 37 |
About Silvia Passantino
Silvia Passantino is a scholar working on Cardiology and Cardiovascular Medicine, Clinical Biochemistry and Developmental Neuroscience, having authored 28 papers that have together received 231 indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (18 papers), Cardiovascular Function and Risk Factors (8 papers) and Cardiovascular Effects of Exercise (6 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (195 citations), Developmental Neuroscience (8 citations) and Epidemiology (50 citations). Silvia Passantino has collaborated with scholars based in Italy, United Kingdom and Switzerland. Frequent co-authors include Iacopo Olivotto, Silvia Favilli, Francesca Girolami, Niccolò Maurizi, Franco Cecchi, Alessia Tomberli, Niccolò Marchionni, Mattia Targetti, Gaia Spaziani and Anna Arretini. Their work appears in journals such as SHILAP Revista de lepidopterología, European Heart Journal and The American 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.