Fabrizio Barbetti
- Surgery top 1%
- Genetics top 0.5%
- Molecular Biology top 5%
- Endocrinology, Diabetes and Metabolism top 0.5%
- Cell Biology top 5%
- Co-authors
- Ornella MassaDario IafuscoCarlo ColomboPeter ArvanAntonio L. Cuesta‐MuñozPål R. NjølstadTorben HansenFranz M. Matschinsky
- Topics
- Pancreatic function and diabetes (72 papers)Diabetes and associated disorders (44 papers)Metabolism, Diabetes, and Cancer (32 papers)
- Partner nations
- ItalyUnited StatesDenmark
In The Last Decade
Fabrizio Barbetti
107 papers receiving 4.0k citations
Peers
Comparison fields: 5 of 114
- Surgery 2.6k
- Genetics 1.8k
- Molecular Biology 1.7k
- Endocrinology, Diabetes and Metabolism 1.6k
- Cell Biology 341
Countries citing papers authored by Fabrizio Barbetti
This map shows the geographic impact of Fabrizio Barbetti'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 Fabrizio Barbetti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabrizio Barbetti more than expected).
Fields of papers citing papers by Fabrizio Barbetti
This network shows the impact of papers produced by Fabrizio Barbetti. 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 Fabrizio Barbetti. The network helps show where Fabrizio Barbetti may publish in the future.
Co-authorship network of co-authors of Fabrizio Barbetti
This figure shows the co-authorship network connecting the top 25 collaborators of Fabrizio Barbetti. A scholar is included among the top collaborators of Fabrizio Barbetti 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 Fabrizio Barbetti. Fabrizio Barbetti 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 | 5 | |
| 3 | 2 | |
| 4 | 6 | |
| 5 | 63 | |
| 6 | 25 | |
| 7 | 8 | |
| 8 | 28 | |
| 9 | 19 | |
| 10 | 22 | |
| 11 | 9 | |
| 12 | Sulfonylurea-responsive neonatal diabetes mellitus diagnosed through molecular genetics in two children and in one adult after a long period of insulin treatment. | 7 |
| 13 | 58 | |
| 14 | Prediabetes in Italian children and youngsters. | 1 |
| 15 | 14 | |
| 16 | 179 | |
| 17 | 6 | |
| 18 | 5 | |
| 19 | 13 | |
| 20 | 16 |
About Fabrizio Barbetti
Fabrizio Barbetti is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Surgery, having authored 108 papers that have together received 4.1k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (72 papers), Diabetes and associated disorders (44 papers) and Metabolism, Diabetes, and Cancer (32 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.6k citations), Genetics (1.8k citations) and Surgery (2.6k citations). Fabrizio Barbetti has collaborated with scholars based in Italy, United States and Denmark. Frequent co-authors include Ornella Massa, Dario Iafusco, Carlo Colombo, Peter Arvan, Antonio L. Cuesta‐Muñoz, Pål R. Njølstad, Torben Hansen, Franz M. Matschinsky, Ming Liu and Franco Meschi. Their work appears in journals such as New England Journal of Medicine, Journal of Clinical Investigation and Nature Medicine.
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.