Cristina Panico
- Cardiology and Cardiovascular Medicine top 10%
- Surgery
- Molecular Biology
- Endocrinology, Diabetes and Metabolism
- Pulmonary and Respiratory Medicine
- Co-authors
- Gianluigi CondorelliPaolo KunderfrancoMauro ChiaritoGiulio StefaniniF. CannataBernhard ReimersPierluigi CarulloDavide Cao
- Topics
- Cardiovascular Function and Risk Factors (3 papers)Diabetes Treatment and Management (3 papers)Antiplatelet Therapy and Cardiovascular Diseases (2 papers)
- Cited by
- Cardiology and Cardiovascular MedicineInternal MedicineEndocrinology, Diabetes and Metabolism
- Partner nations
- ItalySwitzerland
In The Last Decade
Cristina Panico
16 papers receiving 305 citations
Peers
Comparison fields: 5 of 63
- Cardiology and Cardiovascular Medicine 148
- Surgery 88
- Molecular Biology 72
- Endocrinology, Diabetes and Metabolism 55
- Pulmonary and Respiratory Medicine 54
Countries citing papers authored by Cristina Panico
This map shows the geographic impact of Cristina Panico'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 Cristina Panico with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cristina Panico more than expected).
Fields of papers citing papers by Cristina Panico
This network shows the impact of papers produced by Cristina Panico. 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 Cristina Panico. The network helps show where Cristina Panico may publish in the future.
Co-authorship network of co-authors of Cristina Panico
This figure shows the co-authorship network connecting the top 25 collaborators of Cristina Panico. A scholar is included among the top collaborators of Cristina Panico 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 Cristina Panico. Cristina Panico 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 | 1 | |
| 3 | 21 | |
| 4 | 35 | |
| 5 | 3 | |
| 6 | 5 | |
| 7 | 29 | |
| 8 | 3 | |
| 9 | 93 | |
| 10 | 6 | |
| 11 | 3 | |
| 12 | 65 | |
| 13 | 8 | |
| 14 | 28 | |
| 15 | Predictors of mortality in patients undergoing percutaneous aortic valve implantation. | 5 |
| 16 | 1 |
About Cristina Panico
Cristina Panico is a scholar working on Cardiology and Cardiovascular Medicine, Internal Medicine and Endocrinology, Diabetes and Metabolism, having authored 16 papers that have together received 308 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (3 papers), Diabetes Treatment and Management (3 papers) and Antiplatelet Therapy and Cardiovascular Diseases (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (148 citations), Internal Medicine (22 citations) and Endocrinology, Diabetes and Metabolism (55 citations). Cristina Panico has collaborated with scholars based in Italy and Switzerland. Frequent co-authors include Gianluigi Condorelli, Paolo Kunderfranco, Mauro Chiarito, Giulio Stefanini, F. Cannata, Bernhard Reimers, Pierluigi Carullo, Davide Cao, Cosmo Godino and Raffaele De Caterina. Their work appears in journals such as The Lancet, Circulation and Journal of Clinical Investigation.
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.