A. Zuccarelli
- Endocrinology, Diabetes and Metabolism top 10%
- Cardiology and Cardiovascular Medicine
- Radiology, Nuclear Medicine and Imaging top 10%
- Physiology
- Surgery
- Co-authors
- Ivana ZavaroniP GaspariniAngela Luciana BarilliElisabetta Dall’AglioLuca BoniniG. M. ReavenR DelsignoreGerald M. Reaven
- Topics
- Cardiac Imaging and Diagnostics (7 papers)Advanced X-ray and CT Imaging (4 papers)Coronary Interventions and Diagnostics (3 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismCardiology and Cardiovascular MedicineRadiology, Nuclear Medicine and Imaging
- Partner nations
- ItalyNetherlandsUnited States
In The Last Decade
A. Zuccarelli
14 papers receiving 415 citations
Peers
Comparison fields: 5 of 58
- Endocrinology, Diabetes and Metabolism 170
- Cardiology and Cardiovascular Medicine 112
- Radiology, Nuclear Medicine and Imaging 112
- Physiology 100
- Surgery 84
Countries citing papers authored by A. Zuccarelli
This map shows the geographic impact of A. Zuccarelli'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 A. Zuccarelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Zuccarelli more than expected).
Fields of papers citing papers by A. Zuccarelli
This network shows the impact of papers produced by A. Zuccarelli. 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 A. Zuccarelli. The network helps show where A. Zuccarelli may publish in the future.
Co-authorship network of co-authors of A. Zuccarelli
This figure shows the co-authorship network connecting the top 25 collaborators of A. Zuccarelli. A scholar is included among the top collaborators of A. Zuccarelli 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 A. Zuccarelli. A. Zuccarelli 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 | 14 | |
| 3 | 4 | |
| 4 | 4 | |
| 5 | 9 | |
| 6 | 8 | |
| 7 | 52 | |
| 8 | 20 | |
| 9 | 17 | |
| 10 | 172 | |
| 11 | 31 | |
| 12 | Quantitative analysis of apoptosis and bcl-2 in Sjögren's syndrome. | 51 |
| 13 | 28 | |
| 14 | 17 |
About A. Zuccarelli
A. Zuccarelli is a scholar working on Radiology, Nuclear Medicine and Imaging, Pharmacy and Cardiology and Cardiovascular Medicine, having authored 14 papers that have together received 428 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (7 papers), Advanced X-ray and CT Imaging (4 papers) and Coronary Interventions and Diagnostics (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (170 citations), Cardiology and Cardiovascular Medicine (112 citations) and Radiology, Nuclear Medicine and Imaging (112 citations). A. Zuccarelli has collaborated with scholars based in Italy, Netherlands and United States. Frequent co-authors include Ivana Zavaroni, P Gasparini, Angela Luciana Barilli, Elisabetta Dall’Aglio, Luca Bonini, G. M. Reaven, R Delsignore, Gerald M. Reaven, Chiara Martini and Filippo Cademartiri. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, British journal of surgery and Metabolism.
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.