M. Cervoni
- Genetics top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Surgery
- Immunology
- Experimental and Cognitive Psychology
- Co-authors
- G MultariPaolo PozzilliMaria Cristina MatteoliRaffaella BuzzettiG. MariettiDario PitoccoGiovanni GhirlandaFederica Ferrazzoli
- Topics
- Diabetes and associated disorders (7 papers)Diabetes Management and Research (7 papers)Pancreatic function and diabetes (5 papers)
- Partner nations
- ItalyUnited KingdomAustralia
In The Last Decade
M. Cervoni
13 papers receiving 313 citations
Peers
Comparison fields: 5 of 47
- Genetics 220
- Endocrinology, Diabetes and Metabolism 206
- Surgery 176
- Immunology 57
- Experimental and Cognitive Psychology 30
Countries citing papers authored by M. Cervoni
This map shows the geographic impact of M. Cervoni'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 M. Cervoni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Cervoni more than expected).
Fields of papers citing papers by M. Cervoni
This network shows the impact of papers produced by M. Cervoni. 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 M. Cervoni. The network helps show where M. Cervoni may publish in the future.
Co-authorship network of co-authors of M. Cervoni
This figure shows the co-authorship network connecting the top 25 collaborators of M. Cervoni. A scholar is included among the top collaborators of M. Cervoni 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 M. Cervoni. M. Cervoni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Dumping syndrome: an unusual cause of severe hyperinsulinemic hypoglycemia in neurologically impaired children with gastrostomy. | 9 |
| 2 | 27 | |
| 3 | 18 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | Acetyl-L-carnitine protects from peripheral neuropathy and reduces bone marrow injury in Taxol-treated mice | 1 |
| 7 | 27 | |
| 8 | 51 | |
| 9 | 154 | |
| 10 | No effect of oral insulin on residual beta-cell function in recent onset type 1 diabetes | 4 |
| 11 | [Nutritional status, obesity, and metabolic balance in pediatric patients with type I diabetes mellitus]. | 2 |
| 12 | 12 | |
| 13 | [Nutritional status, obesity and metabolic control in children with type 1 diabetes mellitus]. | 14 |
About M. Cervoni
M. Cervoni is a scholar working on Endocrinology, Diabetes and Metabolism, Clinical Biochemistry and Genetics, having authored 13 papers that have together received 323 indexed citations. Recurring topics across this work include Diabetes and associated disorders (7 papers), Diabetes Management and Research (7 papers) and Pancreatic function and diabetes (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (206 citations), Genetics (220 citations) and Surgery (176 citations). M. Cervoni has collaborated with scholars based in Italy, United Kingdom and Australia. Frequent co-authors include G Multari, Paolo Pozzilli, Maria Cristina Matteoli, Raffaella Buzzetti, G. Marietti, Dario Pitocco, Giovanni Ghirlanda, Federica Ferrazzoli, Maria Gisella Cavallo and Antonino Crinò. Their work appears in journals such as Diabetologia, European Journal of Endocrinology and Clinical & Experimental Immunology.
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.