Carolina D’Anna
- Cardiology and Cardiovascular Medicine top 10%
- Surgery
- Endocrinology, Diabetes and Metabolism
- Pulmonary and Respiratory Medicine
- Epidemiology
- Co-authors
- Margherita MatarazzoRaffaele NapoliVincenzo GuardasoleLuigi SaccàEmanuela ZarraGennaro GalassoRaffaele PiccoloFederico Piscione
- Topics
- Congenital Heart Disease Studies (7 papers)Coronary Interventions and Diagnostics (7 papers)Cardiac Valve Diseases and Treatments (6 papers)
- Cited by
- Cardiology and Cardiovascular MedicineEndocrinology, Diabetes and MetabolismPsychiatry and Mental health
- Journals
- The Journal of Clinical Endocrinology & MetabolismNeurologyThe American Journal of Cardiology
- Partner nations
- ItalyUnited StatesSwitzerland
In The Last Decade
Carolina D’Anna
35 papers receiving 317 citations
Peers
Comparison fields: 5 of 55
- Cardiology and Cardiovascular Medicine 144
- Surgery 114
- Endocrinology, Diabetes and Metabolism 82
- Pulmonary and Respiratory Medicine 66
- Epidemiology 48
Countries citing papers authored by Carolina D’Anna
This map shows the geographic impact of Carolina D’Anna'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 Carolina D’Anna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carolina D’Anna more than expected).
Fields of papers citing papers by Carolina D’Anna
This network shows the impact of papers produced by Carolina D’Anna. 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 Carolina D’Anna. The network helps show where Carolina D’Anna may publish in the future.
Co-authorship network of co-authors of Carolina D’Anna
This figure shows the co-authorship network connecting the top 25 collaborators of Carolina D’Anna. A scholar is included among the top collaborators of Carolina D’Anna 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 Carolina D’Anna. Carolina D’Anna 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 | 9 | |
| 5 | 2 | |
| 6 | 7 | |
| 7 | 10 | |
| 8 | 4 | |
| 9 | 2 | |
| 10 | 10 | |
| 11 | 15 | |
| 12 | 12 | |
| 13 | 11 | |
| 14 | 1 | |
| 15 | 2 | |
| 16 | 10 | |
| 17 | 20 | |
| 18 | 25 | |
| 19 | 16 | |
| 20 | 15 |
About Carolina D’Anna
Carolina D’Anna is a scholar working on Cardiology and Cardiovascular Medicine, Internal Medicine and Surgery, having authored 36 papers that have together received 328 indexed citations. Recurring topics across this work include Congenital Heart Disease Studies (7 papers), Coronary Interventions and Diagnostics (7 papers) and Cardiac Valve Diseases and Treatments (6 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (144 citations), Endocrinology, Diabetes and Metabolism (82 citations) and Psychiatry and Mental health (45 citations). Carolina D’Anna has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Margherita Matarazzo, Raffaele Napoli, Vincenzo Guardasole, Luigi Saccà, Emanuela Zarra, Gennaro Galasso, Raffaele Piccolo, Federico Piscione, Ugo Oliviero and Daniela Terracciano. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Neurology and The American Journal 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.