Rita Pavasini
- Cardiology and Cardiovascular Medicine top 2%
- Surgery top 10%
- Radiology, Nuclear Medicine and Imaging top 5%
- Pulmonary and Respiratory Medicine top 10%
- Molecular Biology
- Co-authors
- Gianluca CampoRoberto FerrariSimone BiscagliaMarco ContoliMatteo TebaldiElisabetta TonetClaudio CeconiAlberto Papi
- Topics
- Cardiac Imaging and Diagnostics (27 papers)Acute Myocardial Infarction Research (20 papers)Coronary Interventions and Diagnostics (17 papers)
- Journals
- Journal of the American College of CardiologyPLoS ONEInternational Journal of Molecular Sciences
- Partner nations
- ItalyUnited StatesSpain
In The Last Decade
Rita Pavasini
97 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 118
- Cardiology and Cardiovascular Medicine 1.0k
- Surgery 529
- Radiology, Nuclear Medicine and Imaging 405
- Pulmonary and Respiratory Medicine 388
- Molecular Biology 311
Countries citing papers authored by Rita Pavasini
This map shows the geographic impact of Rita Pavasini'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 Rita Pavasini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rita Pavasini more than expected).
Fields of papers citing papers by Rita Pavasini
This network shows the impact of papers produced by Rita Pavasini. 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 Rita Pavasini. The network helps show where Rita Pavasini may publish in the future.
Co-authorship network of co-authors of Rita Pavasini
This figure shows the co-authorship network connecting the top 25 collaborators of Rita Pavasini. A scholar is included among the top collaborators of Rita Pavasini 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 Rita Pavasini. Rita Pavasini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 11 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 1 | |
| 11 | 9 | |
| 12 | 0 | |
| 13 | 5 | |
| 14 | 12 | |
| 15 | 9 | |
| 16 | 24 | |
| 17 | 57 | |
| 18 | 8 | |
| 19 | 20 | |
| 20 | 24 |
About Rita Pavasini
Rita Pavasini is a scholar working on Cardiology and Cardiovascular Medicine, Internal Medicine and Geriatrics and Gerontology, having authored 104 papers that have together received 2.1k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (27 papers), Acute Myocardial Infarction Research (20 papers) and Coronary Interventions and Diagnostics (17 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.0k citations), Geriatrics and Gerontology (124 citations) and Internal Medicine (109 citations). Rita Pavasini has collaborated with scholars based in Italy, United States and Spain. Frequent co-authors include Gianluca Campo, Roberto Ferrari, Simone Biscaglia, Marco Contoli, Matteo Tebaldi, Elisabetta Tonet, Claudio Ceconi, Alberto Papi, Cristina Balla and Michele Malagù. Their work appears in journals such as Journal of the American College of Cardiology, PLoS ONE and International Journal of Molecular Sciences.
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.