Chiara Frasson
Impact in
- Cell Biology top 0.5%
- Hippo pathway signaling and YAP/TAZ
- Cancer Research top 2%
- Cancer, Hypoxia, and Metabolism
- MicroRNA in disease regulation
Papers in
- Oncology 14
- Cancer Cells and Metastasis 9
- Co-authors
- Giuseppe Basso (30 shared papers)Stefano Piccolo (3 shared papers)Michelangelo Cordenonsi (3 shared papers)Luca Azzolin (3 shared papers)Silvio Bicciato (3 shared papers)Sirio Dupont (2 shared papers)Silvia Bresolin (7 shared papers)Antonio Rosato (3 shared papers)
- Journals
- Blood (4 papers)Oncotarget (3 papers)Leukemia (2 papers)Cell (2 papers)Stem Cells (2 papers)
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Chiara Frasson
43 papers receiving 4.3k citations
Chiara Frasson's Hit Papers
Peers
Comparison fields: 5 of 106
- Cell Biology 1.6k
- Cancer Research 964
- Oncology 1.2k
- Genetics 410
- Molecular Biology 2.5k
Countries citing papers authored by Chiara Frasson
This map shows the geographic impact of Chiara Frasson'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 Chiara Frasson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chiara Frasson more than expected).
Fields of papers citing papers by Chiara Frasson
This network shows the impact of papers produced by Chiara Frasson. 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 Chiara Frasson. The network helps show where Chiara Frasson may publish in the future.
Co-authors
The 25 scholars most cited alongside Chiara Frasson, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The Hippo Transducer TAZ Confers Cancer Stem Cell-Related Traits on Breast Cancer Cells Hit paper breakdown → | 2011 | 1045 |
| 2 | YAP/TAZ Incorporation in the β-Catenin Destruction Complex Orchestrates the Wnt Response Hit paper breakdown → | 2014 | 850 |
| 3 | 2010 | 250 | |
| 4 | 2014 | 234 | |
| 5 | 2005 | 206 | |
| 6 | 2016 | 197 | |
| 7 | 2011 | 182 | |
| 8 | 2010 | 127 | |
| 9 | 2012 | 123 | |
| 10 | 2008 | 98 | |
| 11 | 2013 | 97 | |
| 12 | 2013 | 94 | |
| 13 | 2019 | 75 | |
| 14 | 2017 | 58 | |
| 15 | 2011 | 51 | |
| 16 | 2017 | 51 | |
| 17 | 2010 | 43 | |
| 18 | 2010 | 38 | |
| 19 | 2017 | 33 | |
| 20 | 2017 | 33 |
About Chiara Frasson
Chiara Frasson is a scholar working on Molecular Biology, Oncology, Cancer Research, Genetics and Immunology, having authored 43 papers that have together received 4.3k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (9 papers), Glioma Diagnosis and Treatment (7 papers), Cancer, Hypoxia, and Metabolism (7 papers), Acute Myeloid Leukemia Research (5 papers), MicroRNA in disease regulation (5 papers), Acute Lymphoblastic Leukemia research (5 papers), Hippo pathway signaling and YAP/TAZ (5 papers) and Immune Cell Function and Interaction (4 papers). The work is most often cited by research in Cell Biology (1.6k citations), Cancer Research (964 citations), Oncology (1.2k citations), Genetics (410 citations) and Molecular Biology (2.5k citations). Chiara Frasson has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Giuseppe Basso, Stefano Piccolo, Michelangelo Cordenonsi, Luca Azzolin, Silvio Bicciato, Sirio Dupont, Silvia Bresolin, Antonio Rosato, Sandra Soligo and Tito Panciera. Their work appears in journals such as Blood, Oncotarget, Leukemia, Cell and Stem Cells.
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.