Patrizia Dell’Orto
- Cancer Research top 1%
- Breast Cancer Treatment Studies 34
- Cancer Genomics and Diagnostics 11
- Oncology top 2%
- HER2/EGFR in Cancer Research 20
- Cancer-related Molecular Pathways 6
- Genetics top 5%
- Estrogen and related hormone effects 12
- Pharmacology top 2%
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- Advanced Breast Cancer Therapies 8
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- Monoclonal and Polyclonal Antibodies Research 6
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- Cell Adhesion Molecules Research 5
- Co-authors
- Giuseppe VialeGuido CoggiAron GoldhirschBeat ThürlimannMeredith M. ReganRichard D. GelberAlan S. CoatesKaren N. Price
- Cited by
- Cancer ResearchOncologyGenetics
- Journals
- Journal of Clinical Oncology (7 papers)JNCI Journal of the National Cancer Institute (1 paper)Cancer (1 paper)
- Partner nations
- ItalyUnited StatesBelgium
In The Last Decade
Patrizia Dell’Orto
70 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 105
- Cancer Research 1.2k
- Oncology 1.4k
- Genetics 675
- Pharmacology 188
- Pathology and Forensic Medicine 342
Countries citing papers authored by Patrizia Dell’Orto
This map shows the geographic impact of Patrizia Dell’Orto'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 Patrizia Dell’Orto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrizia Dell’Orto more than expected).
Fields of papers citing papers by Patrizia Dell’Orto
This network shows the impact of papers produced by Patrizia Dell’Orto. 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 Patrizia Dell’Orto. The network helps show where Patrizia Dell’Orto may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Patrizia Dell’Orto, 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 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2021 | 148 | |
| 4 | 2017 | 45 | |
| 5 | 2017 | 15 | |
| 6 | 2016 | 4 | |
| 7 | 2014 | 45 | |
| 8 | 2013 | 44 | |
| 9 | 2013 | 67 | |
| 10 | 2012 | 229 | |
| 11 | 2011 | 2 | |
| 12 | Prognostic and predictive value of centrally reviewed Ki-67 labeling index in postmenopausal women with endocrine-responsive breast cancer: results from trial BIG 1-98 comparing adjuvant endocrine therapy with tamoxifen versus letrozole | 2008 | 3 |
| 13 | 2008 | 73 | |
| 14 | 2007 | 119 | |
| 15 | 2005 | 15 | |
| 16 | 2005 | 36 | |
| 17 | 1991 | 72 | |
| 18 | 1989 | 29 | |
| 19 | 1988 | 22 | |
| 20 | 1988 | 40 |
About Patrizia Dell’Orto
Patrizia Dell’Orto is a scholar working on Cancer Research, Oncology and Immunology and Allergy, having authored 73 papers that have together received 2.7k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (34 papers), HER2/EGFR in Cancer Research (20 papers), Estrogen and related hormone effects (12 papers), Cancer Genomics and Diagnostics (11 papers), Advanced Breast Cancer Therapies (8 papers), Cancer-related Molecular Pathways (6 papers), Monoclonal and Polyclonal Antibodies Research (6 papers) and Cell Adhesion Molecules Research (5 papers). The work is most often cited by research in Cancer Research (1.2k citations), Oncology (1.4k citations) and Genetics (675 citations). Patrizia Dell’Orto has collaborated with scholars based in Italy, United States and Belgium. Frequent co-authors include Giuseppe Viale, Guido Coggi, Aron Goldhirsch, Beat Thürlimann, Meredith M. Regan, Richard D. Gelber, Alan S. Coates, Karen N. Price, Claudio Doglioni and Patrick Neven. Their work appears in journals such as Journal of Clinical Oncology, JNCI Journal of the National Cancer Institute and Cancer.
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.