Carla Perego
- Molecular Biology top 10%
- Surgery top 5%
- Endocrinology, Diabetes and Metabolism top 2%
- Cellular and Molecular Neuroscience top 5%
- Genetics top 5%
- Co-authors
- Franco FolliAlberto M. DavalliGrazia PietriniC. VanoniRenato LonghiSilvia MassariA. GalliAna Paez
- Topics
- Pancreatic function and diabetes (22 papers)Neuroscience and Neuropharmacology Research (13 papers)Diabetes and associated disorders (9 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryThe EMBO Journal
- Partner nations
- ItalyUnited StatesSwitzerland
In The Last Decade
Carla Perego
71 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 125
- Molecular Biology 1.2k
- Surgery 865
- Endocrinology, Diabetes and Metabolism 600
- Cellular and Molecular Neuroscience 552
- Genetics 430
Countries citing papers authored by Carla Perego
This map shows the geographic impact of Carla Perego'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 Carla Perego with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carla Perego more than expected).
Fields of papers citing papers by Carla Perego
This network shows the impact of papers produced by Carla Perego. 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 Carla Perego. The network helps show where Carla Perego may publish in the future.
Co-authorship network of co-authors of Carla Perego
This figure shows the co-authorship network connecting the top 25 collaborators of Carla Perego. A scholar is included among the top collaborators of Carla Perego 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 Carla Perego. Carla Perego 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 | 13 | |
| 3 | 11 | |
| 4 | 98 | |
| 5 | 5 | |
| 6 | 34 | |
| 7 | 101 | |
| 8 | 16 | |
| 9 | 53 | |
| 10 | 78 | |
| 11 | 11 | |
| 12 | Knock down of AQP1 in human endothelial cells and melanoma cancer stem cells changes the organisation of the cytoskeleton | 1 |
| 13 | 24 | |
| 14 | 27 | |
| 15 | 9 | |
| 16 | 16 | |
| 17 | 3 | |
| 18 | 1 | |
| 19 | 8 | |
| 20 | 12 |
About Carla Perego
Carla Perego is a scholar working on Cellular and Molecular Neuroscience, Behavioral Neuroscience and Biochemistry, having authored 73 papers that have together received 2.9k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (22 papers), Neuroscience and Neuropharmacology Research (13 papers) and Diabetes and associated disorders (9 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (600 citations), Cellular and Molecular Neuroscience (552 citations) and Cell Biology (394 citations). Carla Perego has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Franco Folli, Alberto M. Davalli, Grazia Pietrini, C. Vanoni, Renato Longhi, Silvia Massari, A. Galli, Ana Paez, Giovanna Muscogiuri and Domenico Corradi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The EMBO Journal.
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.