Filippo Leonardo
- Endocrinology, Diabetes and Metabolism top 2%
- Cardiology and Cardiovascular Medicine top 5%
- Surgery
- Genetics top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Co-authors
- Giuseppe RosanoSergio ChierchiaPaolo PagnottaPeter CollinsElena CerquetaniFrancesco PellicciaGaia PaninaPaola Lilla Della Monica
- Topics
- Cardiac Imaging and Diagnostics (9 papers)Menopause: Health Impacts and Treatments (8 papers)Estrogen and related hormone effects (7 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismCardiology and Cardiovascular MedicineBehavioral Neuroscience
- Journals
- The LancetCirculationSHILAP Revista de lepidopterología
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Filippo Leonardo
35 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 74
- Endocrinology, Diabetes and Metabolism 525
- Cardiology and Cardiovascular Medicine 466
- Surgery 242
- Genetics 228
- Radiology, Nuclear Medicine and Imaging 170
Countries citing papers authored by Filippo Leonardo
This map shows the geographic impact of Filippo Leonardo'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 Filippo Leonardo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Filippo Leonardo more than expected).
Fields of papers citing papers by Filippo Leonardo
This network shows the impact of papers produced by Filippo Leonardo. 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 Filippo Leonardo. The network helps show where Filippo Leonardo may publish in the future.
Co-authorship network of co-authors of Filippo Leonardo
This figure shows the co-authorship network connecting the top 25 collaborators of Filippo Leonardo. A scholar is included among the top collaborators of Filippo Leonardo 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 Filippo Leonardo. Filippo Leonardo 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 | 27 | |
| 3 | 20 | |
| 4 | 5 | |
| 5 | 4 | |
| 6 | 55 | |
| 7 | 35 | |
| 8 | 93 | |
| 9 | 4 | |
| 10 | 5 | |
| 11 | 3 | |
| 12 | 0 | |
| 13 | 22 | |
| 14 | 26 | |
| 15 | 86 | |
| 16 | Cor triatriatum associated with degenerative aortic insufficiency in an adult patient. | 1 |
| 17 | 2 | |
| 18 | 1 | |
| 19 | 30 | |
| 20 | 112 |
About Filippo Leonardo
Filippo Leonardo is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Radiology, Nuclear Medicine and Imaging, having authored 37 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (9 papers), Menopause: Health Impacts and Treatments (8 papers) and Estrogen and related hormone effects (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (525 citations), Cardiology and Cardiovascular Medicine (466 citations) and Behavioral Neuroscience (38 citations). Filippo Leonardo has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Giuseppe Rosano, Sergio Chierchia, Paolo Pagnotta, Peter Collins, Elena Cerquetani, Francesco Pelliccia, Gaia Panina, Paola Lilla Della Monica, Massimo Volpe and Carolyn M. Beale. Their work appears in journals such as The Lancet, Circulation and SHILAP Revista de lepidopterología.
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.