Riccardo Calafiore
- Surgery top 1%
- Molecular Biology top 10%
- Endocrinology, Diabetes and Metabolism top 1%
- Genetics top 2%
- Biomedical Engineering top 5%
- Co-authors
- Giuseppe BastaGiovanni LucaFrancesca MancusoPia MontanucciPaul de VosGorka OriveJosé Luís PedrazRosa Marı́a Hernández
- Topics
- Pancreatic function and diabetes (94 papers)Diabetes Management and Research (46 papers)Diabetes and associated disorders (40 papers)
- Journals
- Nature MedicineThe Journal of Experimental MedicineSHILAP Revista de lepidopterología
- Partner nations
- ItalyUnited StatesSpain
In The Last Decade
Riccardo Calafiore
151 papers receiving 4.1k citations
Peers
Comparison fields: 5 of 132
- Surgery 2.4k
- Molecular Biology 962
- Endocrinology, Diabetes and Metabolism 932
- Genetics 887
- Biomedical Engineering 740
Countries citing papers authored by Riccardo Calafiore
This map shows the geographic impact of Riccardo Calafiore'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 Riccardo Calafiore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Riccardo Calafiore more than expected).
Fields of papers citing papers by Riccardo Calafiore
This network shows the impact of papers produced by Riccardo Calafiore. 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 Riccardo Calafiore. The network helps show where Riccardo Calafiore may publish in the future.
Co-authorship network of co-authors of Riccardo Calafiore
This figure shows the co-authorship network connecting the top 25 collaborators of Riccardo Calafiore. A scholar is included among the top collaborators of Riccardo Calafiore 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 Riccardo Calafiore. Riccardo Calafiore is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 37 | |
| 4 | 27 | |
| 5 | 31 | |
| 6 | 19 | |
| 7 | 16 | |
| 8 | 16 | |
| 9 | 18 | |
| 10 | 36 | |
| 11 | 11 | |
| 12 | 8 | |
| 13 | 16 | |
| 14 | Nano-engineered PLLA based biomaterial drives stem cell responses | 1 |
| 15 | 98 | |
| 16 | 18 | |
| 17 | 44 | |
| 18 | 17 | |
| 19 | 85 | |
| 20 | 9 |
About Riccardo Calafiore
Riccardo Calafiore is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Reproductive Medicine, having authored 155 papers that have together received 4.2k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (94 papers), Diabetes Management and Research (46 papers) and Diabetes and associated disorders (40 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (932 citations), Surgery (2.4k citations) and Reproductive Medicine (350 citations). Riccardo Calafiore has collaborated with scholars based in Italy, United States and Spain. Frequent co-authors include Giuseppe Basta, Giovanni Luca, Francesca Mancuso, Pia Montanucci, Paul de Vos, Gorka Orive, José Luís Pedraz, Rosa Marı́a Hernández, David Hunkeler and Mario Calvitti. Their work appears in journals such as Nature Medicine, The Journal of Experimental Medicine and SHILAP Revista de lepidopterología.
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.