Francesca Porcellati
- Endocrinology, Diabetes and Metabolism top 0.5%
- Surgery top 2%
- Genetics top 2%
- Molecular Biology
- Physiology top 10%
- Co-authors
- Carmine G. FanelliGeremia B. BolliSimone PampanelliPaolo RossettiMauro LeporePaola LucidiP. BrunettiLuca Bartocci
- Topics
- Diabetes Management and Research (54 papers)Diabetes Treatment and Management (35 papers)Pancreatic function and diabetes (35 papers)
- Journals
- Journal of Clinical InvestigationAnnals of Internal MedicineThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Francesca Porcellati
71 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Endocrinology, Diabetes and Metabolism 2.3k
- Surgery 1.5k
- Genetics 884
- Molecular Biology 379
- Physiology 321
Countries citing papers authored by Francesca Porcellati
This map shows the geographic impact of Francesca Porcellati'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 Francesca Porcellati with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesca Porcellati more than expected).
Fields of papers citing papers by Francesca Porcellati
This network shows the impact of papers produced by Francesca Porcellati. 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 Francesca Porcellati. The network helps show where Francesca Porcellati may publish in the future.
Co-authorship network of co-authors of Francesca Porcellati
This figure shows the co-authorship network connecting the top 25 collaborators of Francesca Porcellati. A scholar is included among the top collaborators of Francesca Porcellati 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 Francesca Porcellati. Francesca Porcellati 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 | 3 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 6 | |
| 10 | 18 | |
| 11 | 8 | |
| 12 | 1 | |
| 13 | 34 | |
| 14 | 3 | |
| 15 | 7 | |
| 16 | 16 | |
| 17 | 30 | |
| 18 | 36 | |
| 19 | 43 | |
| 20 | 109 |
About Francesca Porcellati
Francesca Porcellati is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Genetics, having authored 75 papers that have together received 2.8k indexed citations. Recurring topics across this work include Diabetes Management and Research (54 papers), Diabetes Treatment and Management (35 papers) and Pancreatic function and diabetes (35 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.3k citations), Surgery (1.5k citations) and Genetics (884 citations). Francesca Porcellati has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Carmine G. Fanelli, Geremia B. Bolli, Simone Pampanelli, Paolo Rossetti, Mauro Lepore, Paola Lucidi, P. Brunetti, Luca Bartocci, Angelo Di Vincenzo and L. Scionti. Their work appears in journals such as Journal of Clinical Investigation, Annals of Internal Medicine and The Journal of Clinical Endocrinology & Metabolism.
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.