Michele Pagano
Impact in
- Oncology top 0.02%
- Cancer-related Molecular Pathways
- Cell Biology top 0.05%
- Microtubule and mitosis dynamics
Papers in
-
- Ubiquitin and proteasome pathways 119
- DNA Repair Mechanisms 25
- RNA modifications and cancer 23
- Epigenetics and DNA Methylation 20
- Genomics and Chromatin Dynamics 18
- Oncology 131
- Cancer-related Molecular Pathways 108
- Co-authors
- Giulio Draetta (20 shared papers)Daniele Guardavaccaro (24 shared papers)Avram Hershko (8 shared papers)Andrea C. Carrano (6 shared papers)Jeffrey R. Skaar (14 shared papers)Timothy Cardozo (4 shared papers)David Frescas (5 shared papers)Anne M. Theodoras (6 shared papers)
- Journals
- Journal of the American Statistical Association (21 papers)Journal of Biological Chemistry (16 papers)Molecular Cell (14 papers)Nature (12 papers)Cell Cycle (11 papers)
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
Michele Pagano
452 papers receiving 42.0k citations
Michele Pagano's Hit Papers
Peers
Comparison fields: 5 of 215
- Oncology 16.2k
- Cell Biology 7.1k
- Molecular Biology 28.0k
- Aging 525
- Cancer Research 3.9k
Countries citing papers authored by Michele Pagano
This map shows the geographic impact of Michele Pagano'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 Michele Pagano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michele Pagano more than expected).
Fields of papers citing papers by Michele Pagano
This network shows the impact of papers produced by Michele Pagano. 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 Michele Pagano. The network helps show where Michele Pagano may publish in the future.
Co-authors
The 25 scholars most cited alongside Michele Pagano, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 460 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Role of the Ubiquitin-Proteasome Pathway in Regulating Abundance of the Cyclin-Dependent Kinase Inhibitor p27 Hit paper breakdown → | 1995 | 1629 |
| 2 | Cyclin D1 is a nuclear protein required for cell cycle progression in G1. Hit paper breakdown → | 1993 | 1385 |
| 3 | SKP2 is required for ubiquitin-mediated degradation of the CDK inhibitor p27 Hit paper breakdown → | 1999 | 1304 |
| 4 | Structure of the Cul1–Rbx1–Skp1–F boxSkp2 SCF ubiquitin ligase complex Hit paper breakdown → | 2002 | 1216 |
| 5 | Cyclin A is required at two points in the human cell cycle. Hit paper breakdown → | 1992 | 1191 |
| 6 | Human Cyclin E, a Nuclear Protein Essential for the G1-to-S Phase Transition Hit paper breakdown → | 1995 | 953 |
| 7 | Increased proteasome-dependent degradation of the cyclin-dependent kinase inhibitor p27 in aggressive colorectal carcinomas Hit paper breakdown → | 1997 | 910 |
| 8 | The SCF ubiquitin ligase: insights into a molecular machine Hit paper breakdown → | 2004 | 892 |
| 9 | Deregulated proteolysis by the F-box proteins SKP2 and β-TrCP: tipping the scales of cancer Hit paper breakdown → | 2008 | 740 |
| 10 | Regulation of the Cdk inhibitor p27 and its deregulation in cancer Hit paper breakdown → | 2000 | 597 |
| 11 | S6K1- and ßTRCP-Mediated Degradation of PDCD4 Promotes Protein Translation and Cell Growth Hit paper breakdown → | 2006 | 573 |
| 12 | The F-box protein family. Hit paper breakdown → | 2000 | 557 |
| 13 | Mechanisms and function of substrate recruitment by F-box proteins Hit paper breakdown → | 2013 | 531 |
| 14 | Insights into SCF ubiquitin ligases from the structure of the Skp1–Skp2 complex Hit paper breakdown → | 2000 | 503 |
| 15 | Ubiquitination of p27 is regulated by Cdk-dependent phosphorylation and trimeric complex formation Hit paper breakdown → | 1999 | 491 |
| 16 | Nrf2 Activation Promotes Lung Cancer Metastasis by Inhibiting the Degradation of Bach1 Hit paper breakdown → | 2019 | 427 |
| 17 | 2004 | 417 | |
| 18 | 2007 | 415 | |
| 19 | The cell-cycle regulatory protein Cks1 is required for SCFSkp2-mediated ubiquitinylation of p27 Hit paper breakdown → | 2001 | 414 |
| 20 | Role of the SCFSkp2 Ubiquitin Ligase in the Degradation of p21Cip1 in S Phase Hit paper breakdown → | 2003 | 401 |
About Michele Pagano
Michele Pagano is a scholar working on Molecular Biology, Oncology, Cell Biology, Epidemiology and Statistics and Probability, having authored 460 papers that have together received 42.8k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (119 papers), Cancer-related Molecular Pathways (108 papers), Microtubule and mitosis dynamics (53 papers), DNA Repair Mechanisms (25 papers), RNA modifications and cancer (23 papers), Neonatal Respiratory Health Research (21 papers), Epigenetics and DNA Methylation (20 papers) and Genomics and Chromatin Dynamics (18 papers). The work is most often cited by research in Oncology (16.2k citations), Cell Biology (7.1k citations), Molecular Biology (28.0k citations), Aging (525 citations) and Cancer Research (3.9k citations). Michele Pagano has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Giulio Draetta, Daniele Guardavaccaro, Avram Hershko, Andrea C. Carrano, Jeffrey R. Skaar, Timothy Cardozo, David Frescas, Anne M. Theodoras, Julia K. Pagan and Esther Eytan. Their work appears in journals such as Journal of the American Statistical Association, Journal of Biological Chemistry, Molecular Cell, Nature and Cell Cycle.
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.