Sebastio Perrini
- Molecular Biology top 5%
- Physiology top 1%
- Endocrinology, Diabetes and Metabolism top 1%
- Epidemiology top 5%
- Surgery top 5%
- Co-authors
- Francesco GiorginoLuigi LaviolaAnnalisa NatalicchioAngelo CignarelliRossella D’OriaMaria Angela IncalzaAnna LeonardiniValentina Annamaria Genchi
- Topics
- Adipose Tissue and Metabolism (27 papers)Metabolism, Diabetes, and Cancer (22 papers)Pancreatic function and diabetes (17 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistrySHILAP Revista de lepidopterología
- Partner nations
- ItalyUnited StatesAustralia
In The Last Decade
Sebastio Perrini
81 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Molecular Biology 1.7k
- Physiology 1.5k
- Endocrinology, Diabetes and Metabolism 1.1k
- Epidemiology 712
- Surgery 710
Countries citing papers authored by Sebastio Perrini
This map shows the geographic impact of Sebastio Perrini'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 Sebastio Perrini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sebastio Perrini more than expected).
Fields of papers citing papers by Sebastio Perrini
This network shows the impact of papers produced by Sebastio Perrini. 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 Sebastio Perrini. The network helps show where Sebastio Perrini may publish in the future.
Co-authorship network of co-authors of Sebastio Perrini
This figure shows the co-authorship network connecting the top 25 collaborators of Sebastio Perrini. A scholar is included among the top collaborators of Sebastio Perrini 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 Sebastio Perrini. Sebastio Perrini 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 | 0 | |
| 3 | 9 | |
| 4 | 3 | |
| 5 | 36 | |
| 6 | 8 | |
| 7 | 15 | |
| 8 | 17 | |
| 9 | 58 | |
| 10 | 8 | |
| 11 | 28 | |
| 12 | 20 | |
| 13 | 7 | |
| 14 | 43 | |
| 15 | 59 | |
| 16 | 75 | |
| 17 | 14 | |
| 18 | 61 | |
| 19 | 32 | |
| 20 | 11 |
About Sebastio Perrini
Sebastio Perrini is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology and Endocrine and Autonomic Systems, having authored 87 papers that have together received 4.6k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (27 papers), Metabolism, Diabetes, and Cancer (22 papers) and Pancreatic function and diabetes (17 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.1k citations), Physiology (1.5k citations) and Biochemistry (176 citations). Sebastio Perrini has collaborated with scholars based in Italy, United States and Australia. Frequent co-authors include Francesco Giorgino, Luigi Laviola, Annalisa Natalicchio, Angelo Cignarelli, Rossella D’Oria, Maria Angela Incalza, Anna Leonardini, Valentina Annamaria Genchi, Nicola Marrano and Giuseppina Biondi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry 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.