Daniela Tosoni
Impact in
- Oncology top 2%
- Cancer Cells and Metastasis
- Cancer-related Molecular Pathways
- Cell Biology top 2%
- Cellular transport and secretion
Papers in
- Oncology 15
- Cancer Cells and Metastasis 9
- Cancer-related Molecular Pathways 8
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- Cellular transport and secretion 4
- Microtubule and mitosis dynamics 2
- Co-authors
- Pier Paolo Di FioreSalvatore PeceGiuseppe VialeGiovanni MazzarolStefano ConfalonieriElisabetta ArgenzioSimona PoloIvan Nicola Colaluca
In The Last Decade
Daniela Tosoni
22 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Oncology 1.2k
- Cell Biology 585
- Cancer Research 531
- Molecular Biology 1.8k
- Immunology and Allergy 118
Countries citing papers authored by Daniela Tosoni
This map shows the geographic impact of Daniela Tosoni'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 Tosoni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Tosoni more than expected).
Fields of papers citing papers by Daniela Tosoni
This network shows the impact of papers produced by Daniela Tosoni. 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 Tosoni. The network helps show where Daniela Tosoni may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniela Tosoni, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2022 | 6 | |
| 5 | 2021 | 2 | |
| 6 | 2020 | 6 | |
| 7 | 2019 | 33 | |
| 8 | 2017 | 28 | |
| 9 | 2017 | 27 | |
| 10 | 2012 | 19 | |
| 11 | 2011 | 188 | |
| 12 | Biological and Molecular Heterogeneity of Breast Cancers Correlates with Their Cancer Stem Cell Content Hit paper breakdown → | 2010 | 728 |
| 13 | 2009 | 317 | |
| 14 | Clathrin-Mediated Internalization Is Essential for Sustained EGFR Signaling but Dispensable for Degradation Hit paper breakdown → | 2008 | 506 |
| 15 | 2008 | 14 | |
| 16 | 2008 | 307 | |
| 17 | 2008 | 17 | |
| 18 | 2005 | 118 | |
| 19 | 2005 | 89 | |
| 20 | 2000 | 23 |
About Daniela Tosoni
Daniela Tosoni is a scholar working on Oncology, Cell Biology, Cancer Research, Molecular Biology and Immunology and Allergy, having authored 24 papers that have together received 2.7k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (9 papers), Cancer-related Molecular Pathways (8 papers), Hedgehog Signaling Pathway Studies (4 papers), Cellular transport and secretion (4 papers), Ubiquitin and proteasome pathways (3 papers), Developmental Biology and Gene Regulation (3 papers), Lipid Membrane Structure and Behavior (2 papers) and Microtubule and mitosis dynamics (2 papers). The work is most often cited by research in Oncology (1.2k citations), Cell Biology (585 citations), Cancer Research (531 citations), Molecular Biology (1.8k citations) and Immunology and Allergy (118 citations). Daniela Tosoni has collaborated with scholars based in Italy, Australia and Austria. Frequent co-authors include Pier Paolo Di Fiore, Salvatore Pece, Giuseppe Viale, Giovanni Mazzarol, Stefano Confalonieri, Elisabetta Argenzio, Simona Polo, Ivan Nicola Colaluca, Elena Cavallaro and Sara Sigismund. Their work appears in journals such as The Journal of Cell Biology, Scientific Reports, Cell, Proceedings of the National Academy of Sciences and Nature Medicine.
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.