Raffaella Motta
- Surgery top 10%
- Cardiology and Cardiovascular Medicine top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- Diego MiottoGian Paolo RossiGisella PitterUmberto CastielloRoberto StramarePaolo BernanteGiampietro FeltrinChiara Begliomini
- Topics
- Cardiac Structural Anomalies and Repair (19 papers)Cardiac Imaging and Diagnostics (11 papers)Cardiovascular Effects of Exercise (11 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONENeuroImage
- Partner nations
- ItalyUnited KingdomRomania
In The Last Decade
Raffaella Motta
78 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 94
- Surgery 515
- Cardiology and Cardiovascular Medicine 343
- Endocrinology, Diabetes and Metabolism 280
- Radiology, Nuclear Medicine and Imaging 227
- Pulmonary and Respiratory Medicine 223
Countries citing papers authored by Raffaella Motta
This map shows the geographic impact of Raffaella Motta'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 Raffaella Motta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raffaella Motta more than expected).
Fields of papers citing papers by Raffaella Motta
This network shows the impact of papers produced by Raffaella Motta. 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 Raffaella Motta. The network helps show where Raffaella Motta may publish in the future.
Co-authorship network of co-authors of Raffaella Motta
This figure shows the co-authorship network connecting the top 25 collaborators of Raffaella Motta. A scholar is included among the top collaborators of Raffaella Motta 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 Raffaella Motta. Raffaella Motta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 5 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 7 | |
| 10 | 2 | |
| 11 | 4 | |
| 12 | 3 | |
| 13 | 3 | |
| 14 | 4 | |
| 15 | 11 | |
| 16 | 6 | |
| 17 | 36 | |
| 18 | 0 | |
| 19 | 7 | |
| 20 | 17 |
About Raffaella Motta
Raffaella Motta is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery, having authored 91 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cardiac Structural Anomalies and Repair (19 papers), Cardiac Imaging and Diagnostics (11 papers) and Cardiovascular Effects of Exercise (11 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (280 citations), Cardiology and Cardiovascular Medicine (343 citations) and Hepatology (98 citations). Raffaella Motta has collaborated with scholars based in Italy, United Kingdom and Romania. Frequent co-authors include Diego Miotto, Gian Paolo Rossi, Gisella Pitter, Umberto Castiello, Roberto Stramare, Paolo Bernante, Giampietro Feltrin, Chiara Begliomini, Teresa Maria Seccia and Chiara Giraudo. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.
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.