Francesca Zani
- Cardiology and Cardiovascular Medicine top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Surgery
- Radiology, Nuclear Medicine and Imaging
- Molecular Biology
- Co-authors
- Gianluca E.M. BoariDamiano RizzoniSilvia PaiardiMarco MicliniMaría Lorenza MuiesanCarolina De CiuceisEnzo PorteriNicola Rizzardi
- Topics
- Blood Pressure and Hypertension Studies (7 papers)Cardiovascular Health and Disease Prevention (6 papers)Cardiovascular Disease and Adiposity (2 papers)
- Cited by
- Cardiology and Cardiovascular MedicineEndocrinology, Diabetes and MetabolismNutrition and Dietetics
- Partner nations
- ItalyUnited StatesDenmark
In The Last Decade
Francesca Zani
12 papers receiving 386 citations
Peers
Comparison fields: 5 of 54
- Cardiology and Cardiovascular Medicine 261
- Endocrinology, Diabetes and Metabolism 110
- Surgery 96
- Radiology, Nuclear Medicine and Imaging 38
- Molecular Biology 37
Countries citing papers authored by Francesca Zani
This map shows the geographic impact of Francesca Zani'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 Francesca Zani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesca Zani more than expected).
Fields of papers citing papers by Francesca Zani
This network shows the impact of papers produced by Francesca Zani. 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 Francesca Zani. The network helps show where Francesca Zani may publish in the future.
Co-authorship network of co-authors of Francesca Zani
This figure shows the co-authorship network connecting the top 25 collaborators of Francesca Zani. A scholar is included among the top collaborators of Francesca Zani 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 Francesca Zani. Francesca Zani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 15 | |
| 3 | 12 | |
| 4 | 9 | |
| 5 | 32 | |
| 6 | 105 | |
| 7 | 2 | |
| 8 | 17 | |
| 9 | 69 | |
| 10 | 1 | |
| 11 | 90 | |
| 12 | 32 |
About Francesca Zani
Francesca Zani is a scholar working on Cardiology and Cardiovascular Medicine, Urology and Cancer Research, having authored 12 papers that have together received 393 indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (7 papers), Cardiovascular Health and Disease Prevention (6 papers) and Cardiovascular Disease and Adiposity (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (261 citations), Endocrinology, Diabetes and Metabolism (110 citations) and Nutrition and Dietetics (36 citations). Francesca Zani has collaborated with scholars based in Italy, United States and Denmark. Frequent co-authors include Gianluca E.M. Boari, Damiano Rizzoni, Silvia Paiardi, Marco Miclini, María Lorenza Muiesan, Carolina De Ciuceis, Enzo Porteri, Nicola Rizzardi, Enrico Agabiti Rosei and Luigi Fabrizio Rodella. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Hypertension and Journal of Hypertension.
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.