Claudio Dati
Impact in
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms
- Oncology top 10%
- HER2/EGFR in Cancer Research
- Cancer Treatment and Pharmacology
- Cytokine Signaling Pathways and Interactions
Papers in
- Oncology 11
- HER2/EGFR in Cancer Research 11
- Cancer Treatment and Pharmacology 3
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- Monoclonal and Polyclonal Antibodies Research 8
- Co-authors
- Michele De Bortoli (10 shared papers)Susanna Antoniotti (6 shared papers)Isabelle Perroteau (5 shared papers)Daniela Taverna (2 shared papers)Piera Maggiora (5 shared papers)M Giai (2 shared papers)P Sismondi (2 shared papers)Aldo Fasolo (4 shared papers)
- Journals
- International Journal of Cancer (2 papers)Cell and Tissue Research (1 paper)Neuroscience (1 paper)Journal of Mammary Gland Biology and Neoplasia (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- ItalyUnited StatesSwitzerland
In The Last Decade
Claudio Dati
15 papers receiving 629 citations
Peers
Comparison fields: 5 of 62
- Developmental Neuroscience 65
- Oncology 339
- Radiology, Nuclear Medicine and Imaging 167
- Cancer Research 68
- Immunology and Allergy 26
Countries citing papers authored by Claudio Dati
This map shows the geographic impact of Claudio Dati'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 Claudio Dati with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Claudio Dati more than expected).
Fields of papers citing papers by Claudio Dati
This network shows the impact of papers produced by Claudio Dati. 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 Claudio Dati. The network helps show where Claudio Dati may publish in the future.
Co-authors
The 25 scholars most cited alongside Claudio Dati, 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 | Inhibition of c-erbB-2 oncogene expression by estrogens in human breast cancer cells. | 1990 | 128 |
| 2 | Prognostic and predictive relevance of c-erbB-2 and ras expression in node positive and negative breast cancer. | 1994 | 77 |
| 3 | 1991 | 64 | |
| 4 | 2004 | 61 | |
| 5 | 2004 | 59 | |
| 6 | 1992 | 57 | |
| 7 | 2010 | 47 | |
| 8 | 1994 | 33 | |
| 9 | 2013 | 26 | |
| 10 | 1992 | 26 | |
| 11 | 2001 | 17 | |
| 12 | 1997 | 15 | |
| 13 | 2004 | 13 | |
| 14 | 1996 | 9 | |
| 15 | 1996 | 8 |
About Claudio Dati
Claudio Dati is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Immunology and Surgery, having authored 15 papers that have together received 640 indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (11 papers), Monoclonal and Polyclonal Antibodies Research (8 papers), Cancer Treatment and Pharmacology (3 papers), Ubiquitin and proteasome pathways (2 papers), Glycosylation and Glycoproteins Research (2 papers), Toxin Mechanisms and Immunotoxins (2 papers), Neurogenesis and neuroplasticity mechanisms (1 paper) and Estrogen and related hormone effects (1 paper). The work is most often cited by research in Developmental Neuroscience (65 citations), Oncology (339 citations), Radiology, Nuclear Medicine and Imaging (167 citations), Cancer Research (68 citations) and Immunology and Allergy (26 citations). Claudio Dati has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Michele De Bortoli, Susanna Antoniotti, Isabelle Perroteau, Daniela Taverna, Piera Maggiora, M Giai, P Sismondi, Aldo Fasolo, Riccardo Roagna and Riccardo Ponzone. Their work appears in journals such as International Journal of Cancer, Cell and Tissue Research, Neuroscience, Journal of Mammary Gland Biology and Neoplasia and Journal of Biological Chemistry.
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.