Loredana Farilla
- Endocrinology, Diabetes and Metabolism top 1%
- Surgery top 5%
- Molecular Biology top 10%
- Oncology top 5%
- Genetics top 5%
- Co-authors
- Riccardo PerfettiUmberto Di MarioAngela BulottaHongxiang HuiCorine BertolottoHoutan NoushmehrElizabeth M. KangBoaz Hirshberg
- Topics
- Pancreatic function and diabetes (13 papers)Diabetes and associated disorders (11 papers)Diabetes Management and Research (7 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Molecular BiologyThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
Loredana Farilla
22 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Endocrinology, Diabetes and Metabolism 1.0k
- Surgery 936
- Molecular Biology 793
- Oncology 482
- Genetics 460
Countries citing papers authored by Loredana Farilla
This map shows the geographic impact of Loredana Farilla'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 Loredana Farilla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Loredana Farilla more than expected).
Fields of papers citing papers by Loredana Farilla
This network shows the impact of papers produced by Loredana Farilla. 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 Loredana Farilla. The network helps show where Loredana Farilla may publish in the future.
Co-authorship network of co-authors of Loredana Farilla
This figure shows the co-authorship network connecting the top 25 collaborators of Loredana Farilla. A scholar is included among the top collaborators of Loredana Farilla 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 Loredana Farilla. Loredana Farilla is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 42 | |
| 2 | 12 | |
| 3 | 416 | |
| 4 | 106 | |
| 5 | 80 | |
| 6 | 25 | |
| 7 | 3 | |
| 8 | 57 | |
| 9 | Glucagon-Like Peptide 1 Inhibits Cell Apoptosis and Improves Glucose Responsiveness of Freshly Isolated Human Isletsbreakdown → | 533 |
| 10 | 112 | |
| 11 | 423 | |
| 12 | 16 | |
| 13 | 51 | |
| 14 | 13 | |
| 15 | 6 | |
| 16 | 28 | |
| 17 | 16 | |
| 18 | 19 | |
| 19 | 2 | |
| 20 | 2 |
About Loredana Farilla
Loredana Farilla is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Surgery, having authored 22 papers that have together received 2.0k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (13 papers), Diabetes and associated disorders (11 papers) and Diabetes Management and Research (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.0k citations), Surgery (936 citations) and Oncology (482 citations). Loredana Farilla has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Riccardo Perfetti, Umberto Di Mario, Angela Bulotta, Hongxiang Hui, Corine Bertolotto, Houtan Noushmehr, Elizabeth M. Kang, Boaz Hirshberg, Sergio Li Calzi and David M. Harlan. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Molecular Biology 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.