Monica Tortoreto
- Cancer Research top 2%
- MicroRNA in disease regulation 6
- Cancer Genomics and Diagnostics 5
- Oncology top 2%
- Cancer Cells and Metastasis 8
- Cancer-related Molecular Pathways 7
- Molecular Biology top 5%
- Cancer therapeutics and mechanisms 10
- Histone Deacetylase Inhibitors Research 5
- Cell Biology top 5%
- Immunology top 10%
- Immune Cell Function and Interaction 5
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- Sarcoma Diagnosis and Treatment 8
- Co-authors
- Graziella PratesiFranco ZuninoPaola PeregoNadia ZaffaroniLuca RozGabriella SozziGiulia BertoliniUgo Pastorino
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Clinical Oncology (1 paper)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- ItalyUnited StatesSwitzerland
In The Last Decade
Monica Tortoreto
79 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Cancer Research 907
- Oncology 1.3k
- Molecular Biology 2.0k
- Cell Biology 450
- Immunology 396
Countries citing papers authored by Monica Tortoreto
This map shows the geographic impact of Monica Tortoreto'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 Monica Tortoreto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Monica Tortoreto more than expected).
Fields of papers citing papers by Monica Tortoreto
This network shows the impact of papers produced by Monica Tortoreto. 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 Monica Tortoreto. The network helps show where Monica Tortoreto may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Monica Tortoreto, 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 | 2023 | 5 | |
| 2 | 2019 | 63 | |
| 3 | 2017 | 25 | |
| 4 | 2016 | 164 | |
| 5 | 2016 | 38 | |
| 6 | 2016 | 6 | |
| 7 | 2015 | 79 | |
| 8 | 2015 | 19 | |
| 9 | 2014 | 51 | |
| 10 | 2013 | 72 | |
| 11 | 2012 | 130 | |
| 12 | 2011 | 209 | |
| 13 | 2010 | 24 | |
| 14 | 2010 | 46 | |
| 15 | 2007 | 26 | |
| 16 | 2006 | 31 | |
| 17 | 2004 | 13 | |
| 18 | 2004 | 63 | |
| 19 | 1998 | 100 | |
| 20 | 1995 | 31 |
About Monica Tortoreto
Monica Tortoreto is a scholar working on Cancer Research, Oncology and Molecular Biology, having authored 80 papers that have together received 3.3k indexed citations. Recurring topics across this work include Cancer therapeutics and mechanisms (10 papers), Sarcoma Diagnosis and Treatment (8 papers), Cancer Cells and Metastasis (8 papers), Cancer-related Molecular Pathways (7 papers), MicroRNA in disease regulation (6 papers), Histone Deacetylase Inhibitors Research (5 papers), Cancer Genomics and Diagnostics (5 papers) and Immune Cell Function and Interaction (5 papers). The work is most often cited by research in Cancer Research (907 citations), Oncology (1.3k citations) and Molecular Biology (2.0k citations). Monica Tortoreto has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Graziella Pratesi, Franco Zunino, Paola Perego, Nadia Zaffaroni, Luca Roz, Gabriella Sozzi, Giulia Bertolini, Ugo Pastorino, Giovanna Petrangolini and Cinzia Lanzi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.
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.