Fabrizio Barbetti

6.5k total citations
108 papers, 4.1k citations indexed

About

Fabrizio Barbetti is a scholar working on Surgery, Genetics and Molecular Biology. According to data from OpenAlex, Fabrizio Barbetti has authored 108 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Surgery, 52 papers in Genetics and 50 papers in Molecular Biology. Recurrent topics in Fabrizio Barbetti's work include Pancreatic function and diabetes (72 papers), Diabetes and associated disorders (44 papers) and Metabolism, Diabetes, and Cancer (32 papers). Fabrizio Barbetti is often cited by papers focused on Pancreatic function and diabetes (72 papers), Diabetes and associated disorders (44 papers) and Metabolism, Diabetes, and Cancer (32 papers). Fabrizio Barbetti collaborates with scholars based in Italy, United States and Denmark. Fabrizio Barbetti's 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 and has published in prestigious journals such as New England Journal of Medicine, Journal of Clinical Investigation and Nature Medicine.

In The Last Decade

Fabrizio Barbetti

107 papers receiving 4.0k citations

Peers

Fabrizio Barbetti
Roger F.L. James United Kingdom
Massimo Pietropaolo United States
Sarah J. Richardson United Kingdom
Peter G. Traber United States
Alberto Pugliese United States
Aaron W. Michels United States
Jonathan C. Schisler United States
Debra G. Silberg United States
A C Moses United States
Roger F.L. James United Kingdom
Fabrizio Barbetti
Citations per year, relative to Fabrizio Barbetti Fabrizio Barbetti (= 1×) peers Roger F.L. James

Countries citing papers authored by Fabrizio Barbetti

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Zanfardino, Angela, Riccardo Schiaffini, Jeff Ishibashi, et al.. (2025). Neonatal diabetes–associated missense PDX1 variant disrupts chromatin association and protein-protein interaction. JCI Insight. 10(11).
2.
Barbetti, Fabrizio, Asma Deeb, & Shigeru Suzuki. (2024). Neonatal diabetes mellitus around the world: Update 2024. Journal of Diabetes Investigation. 15(12). 1711–1724. 5 indexed citations
3.
Pugnaloni, Flaminia, Ludovica Martini, Domenico Umberto De Rose, et al.. (2024). A New Variant in the GATA6 Gene Associated with Tracheoesophageal Fistula, Pulmonary Vein Stenosis, and Neonatal Diabetes. Hormone Research in Paediatrics. 98(3). 282–288. 2 indexed citations
4.
Rapini, Novella, Patrizia Ippolita Patera, Riccardo Schiaffini, et al.. (2022). Monogenic diabetes clinic (MDC): 3-year experience. Acta Diabetologica. 60(1). 61–70. 6 indexed citations
5.
Greeley, Siri Atma W., Michel Polak, Pål R. Njølstad, et al.. (2022). ISPAD Clinical Practice Consensus Guidelines 2022: The diagnosis and management of monogenic diabetes in children and adolescents. Pediatric Diabetes. 23(8). 1188–1211. 63 indexed citations
6.
Sui, Lina, Yurong Xin, Leena Haataja, et al.. (2021). Reduced replication fork speed promotes pancreatic endocrine differentiation and controls graft size. JCI Insight. 6(5). 25 indexed citations
7.
Brierley, Gemma V., V. Grasso, Rossella Gaudino, et al.. (2018). Severe insulin resistance in disguise: A familial case of reactive hypoglycemia associated with a novel heterozygous INSR mutation. Pediatric Diabetes. 19(4). 670–674. 8 indexed citations
8.
Barbetti, Fabrizio & Giuseppe d’Annunzio. (2018). Genetic causes and treatment of neonatal diabetes and early childhood diabetes. Best Practice & Research Clinical Endocrinology & Metabolism. 32(4). 575–591. 28 indexed citations
9.
Piccinno, Elvira, V. Grasso, Francesco Papadia, et al.. (2015). Diabetes associated with dominant insulin gene mutations: outcome of 24-month, sensor-augmented insulin pump treatment. Acta Diabetologica. 53(3). 499–501. 19 indexed citations
10.
Real‐Fernández, Feliciana, et al.. (2014). Biosensor analysis of anti-citrullinated protein/peptide antibody affinity. Analytical Biochemistry. 465. 96–101. 22 indexed citations
11.
Doria, Valentina, Riccardo Stucchi, Massimo Alessio, et al.. (2013). A possible role of transglutaminase 2 in the nucleus of INS-1E and of cells of human pancreatic islets. Journal of Proteomics. 96. 314–327. 9 indexed citations
12.
Iovane, Brunella, Giorgia Monti, Giovanni Chiari, et al.. (2012). Sulfonylurea-responsive neonatal diabetes mellitus diagnosed through molecular genetics in two children and in one adult after a long period of insulin treatment.. PubMed. 83(1). 56–61. 7 indexed citations
13.
Liu, Ming, Roberto Lara‐Lemus, Shu‐ou Shan, et al.. (2012). Impaired Cleavage of Preproinsulin Signal Peptide Linked to Autosomal-Dominant Diabetes. Diabetes. 61(4). 828–837. 58 indexed citations
14.
Brufani, Claudia, Danilo Fintini, Paolo Ciampalini, et al.. (2011). Prediabetes in Italian children and youngsters.. Journal of Endocrinological Investigation. 34. 275–280. 1 indexed citations
15.
Prudente, Sabrina, Roberto Baratta, Francesco Andreozzi, et al.. (2010). TRIB3 R84 variant affects glucose homeostasis by altering the interplay between insulin sensitivity and secretion. Diabetologia. 53(7). 1354–1361. 14 indexed citations
16.
Colombo, Carlo, Ottavia Porzio, Ming Liu, et al.. (2008). Seven mutations in the human insulin gene linked to permanent neonatal/infancy-onset diabetes mellitus. Journal of Clinical Investigation. 118(6). 2148–56. 179 indexed citations
17.
Brufani, Claudia, Armando Grossi, Danilo Fintini, et al.. (2008). Cardiovascular Fitness, Insulin Resistance and Metabolic Syndrome in Severely Obese Prepubertal Italian Children. Hormone Research in Paediatrics. 70(6). 349–356. 6 indexed citations
18.
Sentinelli, Federica, Stefano Romeo, Fabrizio Barbetti, et al.. (2006). Search for genetic variants in the p66Shc longevity gene by PCR-single strand conformational polymorphism in patients with early-onset cardiovascular disease. BMC Genetics. 7(1). 14–14. 5 indexed citations
19.
Mainieri, Davide, G Multari, Renzo Cordera, et al.. (1998). Three novel missense mutations in the glucokinase gene (G80S; E221K; G227C) in Italian subjects with maturity-onset diabetes of the young (MODY). Mutations in brief no. 162. Online. Cineca Institutional Research Information System (Tor Vergata University). 13 indexed citations
20.
Barbetti, Fabrizio, Mariano Rocchi, Michela Bossolasco, et al.. (1996). The Human Skeletal Muscle Glycogenin Gene: cDNA, Tissue Expression, and Chromosomal Localization. Biochemical and Biophysical Research Communications. 220(1). 72–77. 16 indexed citations

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.

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