Daniela Grifoni
Impact in
- Cell Biology top 2%
- Hippo pathway signaling and YAP/TAZ
- Cellular Mechanics and Interactions
- Microtubule and mitosis dynamics
- Aging top 5%
Papers in
- Cell Biology 19
- Hippo pathway signaling and YAP/TAZ 17
- Microtubule and mitosis dynamics 4
- Cellular Mechanics and Interactions 4
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- Ubiquitin and proteasome pathways 5
- Cancer-related gene regulation 5
- Wnt/β-catenin signaling in development and cancer 3
- PI3K/AKT/mTOR signaling in cancer 3
- Co-authors
- Annalisa Pession (15 shared papers)Paola Bellosta (10 shared papers)Flavio Garoia (9 shared papers)Manuela Sollazzo (8 shared papers)Sandro Cavicchi (6 shared papers)Francesca Froldi (5 shared papers)Mariateresa Allocca (1 shared paper)Alice Valenza (1 shared paper)
- Journals
- Oncogene (2 papers)Scientific Reports (2 papers)Frontiers in Genetics (2 papers)BMC Biology (2 papers)International Journal of Molecular Sciences (2 papers)
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Daniela Grifoni
36 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 100
- Cell Biology 685
- Aging 55
- Cancer Research 220
- Molecular Biology 817
- Cellular and Molecular Neuroscience 160
Countries citing papers authored by Daniela Grifoni
This map shows the geographic impact of Daniela Grifoni'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 Daniela Grifoni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Grifoni more than expected).
Fields of papers citing papers by Daniela Grifoni
This network shows the impact of papers produced by Daniela Grifoni. 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 Daniela Grifoni. The network helps show where Daniela Grifoni may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Grifoni, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 336 | |
| 2 | 2019 | 174 | |
| 3 | 2010 | 158 | |
| 4 | 2004 | 105 | |
| 5 | 2010 | 86 | |
| 6 | 2007 | 63 | |
| 7 | 2011 | 57 | |
| 8 | 2017 | 55 | |
| 9 | 2013 | 43 | |
| 10 | 2007 | 41 | |
| 11 | 2015 | 38 | |
| 12 | 2017 | 31 | |
| 13 | 2009 | 30 | |
| 14 | 2014 | 29 | |
| 15 | 2017 | 27 | |
| 16 | 2008 | 27 | |
| 17 | 2005 | 27 | |
| 18 | 2020 | 23 | |
| 19 | 2004 | 22 | |
| 20 | 2013 | 19 |
About Daniela Grifoni
Daniela Grifoni is a scholar working on Cell Biology, Molecular Biology, Oncology, Immunology and Cellular and Molecular Neuroscience, having authored 36 papers that have together received 1.5k indexed citations. Recurring topics across this work include Hippo pathway signaling and YAP/TAZ (17 papers), Ubiquitin and proteasome pathways (5 papers), Cancer-related gene regulation (5 papers), Microtubule and mitosis dynamics (4 papers), Cellular Mechanics and Interactions (4 papers), Wnt/β-catenin signaling in development and cancer (3 papers), Invertebrate Immune Response Mechanisms (3 papers) and PI3K/AKT/mTOR signaling in cancer (3 papers). The work is most often cited by research in Cell Biology (685 citations), Aging (55 citations), Cancer Research (220 citations), Molecular Biology (817 citations) and Cellular and Molecular Neuroscience (160 citations). Daniela Grifoni has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Annalisa Pession, Paola Bellosta, Flavio Garoia, Manuela Sollazzo, Sandro Cavicchi, Francesca Froldi, Mariateresa Allocca, Alice Valenza, Giulia Santinon and Giulia Guzzo. Their work appears in journals such as Oncogene, Scientific Reports, Frontiers in Genetics, BMC Biology and International Journal of Molecular Sciences.
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.