Cosetta Bertoli
Impact in
- Oncology top 5%
- Cancer-related Molecular Pathways
- Cancer Research top 5%
Papers in
- Oncology 8
- Cancer-related Molecular Pathways 7
-
- Calpain Protease Function and Regulation 5
- Co-authors
- Robertus A.M. de Bruin (12 shared papers)Jan Marcel Skotheim (1 shared paper)Helen K. Matthews (1 shared paper)Francesca Demarchi (7 shared papers)Claudio Schneider (5 shared papers)Tamara Copetti (4 shared papers)Emiliano Dalla (1 shared paper)Péter Sandy (2 shared papers)
- Journals
- Nature Communications (2 papers)Cancer Discovery (2 papers)Oncogene (2 papers)Nature Reviews Molecular Cell Biology (2 papers)Current Biology (1 paper)
- Partner nations
- United KingdomItalyUnited States
In The Last Decade
Cosetta Bertoli
22 papers receiving 3.4k citations
Cosetta Bertoli's Hit Papers
Peers
Comparison fields: 5 of 109
- Oncology 599
- Cancer Research 319
- Molecular Biology 1.2k
- Cell Biology 235
- Virology 72
Countries citing papers authored by Cosetta Bertoli
This map shows the geographic impact of Cosetta Bertoli'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 Cosetta Bertoli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cosetta Bertoli more than expected).
Fields of papers citing papers by Cosetta Bertoli
This network shows the impact of papers produced by Cosetta Bertoli. 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 Cosetta Bertoli. The network helps show where Cosetta Bertoli may publish in the future.
Co-authors
The 25 scholars most cited alongside Cosetta Bertoli, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Control of cell cycle transcription during G1 and S phases Hit paper breakdown → | 2013 | 1162 |
| 2 | Cell cycle control in cancer Hit paper breakdown → | 2021 | 1085 |
| 3 | 2009 | 231 | |
| 4 | 2003 | 144 | |
| 5 | 2006 | 135 | |
| 6 | 2021 | 101 | |
| 7 | 2017 | 80 | |
| 8 | 1999 | 72 | |
| 9 | 2013 | 64 | |
| 10 | 2016 | 54 | |
| 11 | 2005 | 50 | |
| 12 | 2008 | 50 | |
| 13 | 2007 | 36 | |
| 14 | 2020 | 33 | |
| 15 | 2023 | 30 | |
| 16 | 2020 | 29 | |
| 17 | 2024 | 16 | |
| 18 | 2010 | 15 | |
| 19 | 2022 | 10 | |
| 20 | 2014 | 9 |
About Cosetta Bertoli
Cosetta Bertoli is a scholar working on Oncology, Cell Biology, Cancer Research, Virology and Epidemiology, having authored 22 papers that have together received 3.4k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (7 papers), Calpain Protease Function and Regulation (5 papers), DNA Repair Mechanisms (4 papers), NF-κB Signaling Pathways (3 papers), Autophagy in Disease and Therapy (3 papers), Genomics and Chromatin Dynamics (2 papers), Telomeres, Telomerase, and Senescence (2 papers) and Cervical Cancer and HPV Research (1 paper). The work is most often cited by research in Oncology (599 citations), Cancer Research (319 citations), Molecular Biology (1.2k citations), Cell Biology (235 citations) and Virology (72 citations). Cosetta Bertoli has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include Robertus A.M. de Bruin, Jan Marcel Skotheim, Helen K. Matthews, Francesca Demarchi, Claudio Schneider, Tamara Copetti, Emiliano Dalla, Péter Sandy, Eeva‐Liisa Eskelinen and Celine Schneider. Their work appears in journals such as Nature Communications, Cancer Discovery, Oncogene, Nature Reviews Molecular Cell Biology and Current Biology.
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.