Lucia Leva
Impact in
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- Medical Imaging Techniques and Applications
- Cardiac Imaging and Diagnostics
- Advanced MRI Techniques and Applications
- Radiation Dose and Imaging
- Radiomics and Machine Learning in Medical Imaging
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- Cardiovascular Function and Risk Factors
Papers in
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- Medical Imaging Techniques and Applications 11
- Cardiac Imaging and Diagnostics 6
- Advanced MRI Techniques and Applications 5
- Radiation Dose and Imaging 3
- MRI in cancer diagnosis 2
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- Advanced X-ray and CT Imaging 9
- Co-authors
- Marco Brambilla (16 shared papers)Eugenio Inglese (7 shared papers)Roberta Matheoud (12 shared papers)C Secco (4 shared papers)Alessandro Carriero (5 shared papers)Gianmario Sambuceti (1 shared paper)Gian Mauro Sacchetti (3 shared papers)Eugenio Picano (2 shared papers)
In The Last Decade
Lucia Leva
18 papers receiving 275 citations
Peers
Comparison fields: 5 of 50
- Radiology, Nuclear Medicine and Imaging 223
- Cardiology and Cardiovascular Medicine 47
- Biomedical Engineering 78
- Pulmonary and Respiratory Medicine 48
- Radiation 12
Countries citing papers authored by Lucia Leva
This map shows the geographic impact of Lucia Leva'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 Leva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lucia Leva more than expected).
Fields of papers citing papers by Lucia Leva
This network shows the impact of papers produced by Lucia Leva. 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 Leva. The network helps show where Lucia Leva may publish in the future.
Co-authors
The 25 scholars most cited alongside Lucia Leva, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 66 | |
| 2 | 2005 | 32 | |
| 3 | 2013 | 29 | |
| 4 | 2013 | 26 | |
| 5 | 2015 | 22 | |
| 6 | 2014 | 19 | |
| 7 | 2002 | 17 | |
| 8 | 2012 | 16 | |
| 9 | 2009 | 10 | |
| 10 | 2016 | 9 | |
| 11 | 2017 | 8 | |
| 12 | 2010 | 7 | |
| 13 | Reproducibility and variability of global and regional dyssynchrony parameters derived from phase analysis of gated myocardial perfusion SPECT. | 2012 | 6 |
| 14 | 2012 | 5 | |
| 15 | 2011 | 5 | |
| 16 | 2016 | 2 | |
| 17 | 2025 | 1 | |
| 18 | 2018 | 1 | |
| 19 | 2025 | 0 |
About Lucia Leva
Lucia Leva is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Cardiology and Cardiovascular Medicine, General Health Professions and Pulmonary and Respiratory Medicine, having authored 19 papers that have together received 281 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (11 papers), Advanced X-ray and CT Imaging (9 papers), Cardiac Imaging and Diagnostics (6 papers), Advanced MRI Techniques and Applications (5 papers), Radiation Dose and Imaging (3 papers), Healthcare cost, quality, practices (2 papers), MRI in cancer diagnosis (2 papers) and Cardiac pacing and defibrillation studies (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (223 citations), Cardiology and Cardiovascular Medicine (47 citations), Biomedical Engineering (78 citations), Pulmonary and Respiratory Medicine (48 citations) and Radiation (12 citations). Lucia Leva has collaborated with scholars based in Italy, Russia and Belarus. Frequent co-authors include Marco Brambilla, Eugenio Inglese, Roberta Matheoud, C Secco, Alessandro Carriero, Gianmario Sambuceti, Gian Mauro Sacchetti, Eugenio Picano, Patrizia Gandolfo and Andreana De Mauri. Their work appears in journals such as Journal of Nuclear Cardiology, Annals of Nuclear Medicine, Physica Medica, Zeitschrift für Medizinische Physik and Journal of Nuclear Medicine.
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.