Andrea C. Carrano
- Molecular Biology top 2%
- Oncology top 2%
- Cell Biology top 2%
- Cancer Research top 10%
- Genetics top 10%
- Co-authors
- Michele PaganoAvram HershkoEsther EytanA. MontagnoliFrédéric Di FioreGiulio DraettaMichael S. FinninNikola P. Pavletich
- Topics
- Ubiquitin and proteasome pathways (7 papers)Pancreatic function and diabetes (6 papers)Cancer-related Molecular Pathways (5 papers)
- Cited by
- AgingOncologyMolecular Biology
- Partner nations
- United StatesIsraelNetherlands
In The Last Decade
Andrea C. Carrano
17 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Molecular Biology 2.5k
- Oncology 1.5k
- Cell Biology 576
- Cancer Research 297
- Genetics 269
Countries citing papers authored by Andrea C. Carrano
This map shows the geographic impact of Andrea C. Carrano'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 Andrea C. Carrano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrea C. Carrano more than expected).
Fields of papers citing papers by Andrea C. Carrano
This network shows the impact of papers produced by Andrea C. Carrano. 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 Andrea C. Carrano. The network helps show where Andrea C. Carrano may publish in the future.
Co-authorship network of co-authors of Andrea C. Carrano
This figure shows the co-authorship network connecting the top 25 collaborators of Andrea C. Carrano. A scholar is included among the top collaborators of Andrea C. Carrano 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 Andrea C. Carrano. Andrea C. Carrano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 16 | |
| 3 | 15 | |
| 4 | 37 | |
| 5 | 106 | |
| 6 | 42 | |
| 7 | 27 | |
| 8 | 18 | |
| 9 | 25 | |
| 10 | 11 | |
| 11 | 107 | |
| 12 | 115 | |
| 13 | 157 | |
| 14 | Insights into SCF ubiquitin ligases from the structure of the Skp1–Skp2 complexbreakdown → | 503 |
| 15 | Ubiquitination of p27 is regulated by Cdk-dependent phosphorylation and trimeric complex formationbreakdown → | 491 |
| 16 | 102 | |
| 17 | SKP2 is required for ubiquitin-mediated degradation of the CDK inhibitor p27breakdown → | 1304 |
About Andrea C. Carrano
Andrea C. Carrano is a scholar working on Aging, Molecular Biology and Oncology, having authored 17 papers that have together received 3.1k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (7 papers), Pancreatic function and diabetes (6 papers) and Cancer-related Molecular Pathways (5 papers). The work is most often cited by research in Aging (115 citations), Oncology (1.5k citations) and Molecular Biology (2.5k citations). Andrea C. Carrano has collaborated with scholars based in United States, Israel and Netherlands. Frequent co-authors include Michele Pagano, Avram Hershko, Esther Eytan, A. Montagnoli, Frédéric Di Fiore, Giulio Draetta, Michael S. Finnin, Nikola P. Pavletich, Philip D. Jeffrey and J. Wade Harper. Their work appears in journals such as Nature, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.