Lucia Leccisotti
- Surgery top 10%
- Cardiology and Cardiovascular Medicine top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Oncology top 10%
- Nephrology top 2%
- Co-authors
- Paolo G. CamiciAlessandro GiordanoNicholas M. SelbyShvan KorsheedChristopher W. McIntyreChristopher BakerJames O. BurtonGiorgio Treglia
- Topics
- Cardiac Imaging and Diagnostics (13 papers)Medical Imaging Techniques and Applications (12 papers)Cardiovascular Function and Risk Factors (12 papers)
- Journals
- CirculationSHILAP Revista de lepidopterologíaJournal of the American College of Cardiology
- Partner nations
- ItalyUnited KingdomJapan
In The Last Decade
Lucia Leccisotti
72 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 81
- Surgery 472
- Cardiology and Cardiovascular Medicine 463
- Radiology, Nuclear Medicine and Imaging 438
- Oncology 248
- Nephrology 247
Countries citing papers authored by Lucia Leccisotti
This map shows the geographic impact of Lucia Leccisotti'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 Lucia Leccisotti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lucia Leccisotti more than expected).
Fields of papers citing papers by Lucia Leccisotti
This network shows the impact of papers produced by Lucia Leccisotti. 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 Lucia Leccisotti. The network helps show where Lucia Leccisotti may publish in the future.
Co-authorship network of co-authors of Lucia Leccisotti
This figure shows the co-authorship network connecting the top 25 collaborators of Lucia Leccisotti. A scholar is included among the top collaborators of Lucia Leccisotti 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 Lucia Leccisotti. Lucia Leccisotti 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 | 2 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 0 | |
| 9 | 6 | |
| 10 | 1 | |
| 11 | 8 | |
| 12 | 4 | |
| 13 | 13 | |
| 14 | 14 | |
| 15 | 48 | |
| 16 | 18 | |
| 17 | 1 | |
| 18 | 69 | |
| 19 | 126 | |
| 20 | Blood oxygenation level-dependent magnetic resonance imaging in patients with coronary artery disease: a validation study against positron emission tomography | 1 |
About Lucia Leccisotti
Lucia Leccisotti is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Oncology, having authored 81 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (13 papers), Medical Imaging Techniques and Applications (12 papers) and Cardiovascular Function and Risk Factors (12 papers). The work is most often cited by research in Nephrology (247 citations), Cardiology and Cardiovascular Medicine (463 citations) and Radiology, Nuclear Medicine and Imaging (438 citations). Lucia Leccisotti has collaborated with scholars based in Italy, United Kingdom and Japan. Frequent co-authors include Paolo G. Camici, Alessandro Giordano, Nicholas M. Selby, Shvan Korsheed, Christopher W. McIntyre, Christopher Baker, James O. Burton, Giorgio Treglia, Vittoria Rufini and Maria Vittoria Mattoli. Their work appears in journals such as Circulation, SHILAP Revista de lepidopterología and Journal of the American College 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.