Claudio Dati

737 citations
15 papers · 638 · h-index 13

Impact in

    • Neurogenesis and neuroplasticity mechanisms
  • Oncology top 10%
    • HER2/EGFR in Cancer Research
    • Cancer Treatment and Pharmacology
    • Cancer-related Molecular Pathways

Papers in

Claudio Dati

15 papers receiving 626 citations

Peers

Claudio Dati
Comparison fields: 5 of 65
  • Developmental Neuroscience 66
  • Oncology 378
  • Radiology, Nuclear Medicine and Imaging 195
  • Cancer Research 88
  • Immunology and Allergy 29
Replace Daniel G. Todd with:
Daniel G. Todd United States
Marco Pfeifer Germany
Huakui Yu United States
Daniela D’Agostino Canada
Minkyung Kang South Korea
Rosanna Pescini Gobert Switzerland
So-Young Hwang United States
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Citations per field
00.5×4.8×
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Citations per year

Countries citing papers authored by Claudio Dati

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Claudio Dati Line = papers co-authored together Claudio Dati links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1
Inhibition of c-erbB-2 oncogene expression by estrogens in human breast cancer cells.
1990128
2
Prognostic and predictive relevance of c-erbB-2 and ras expression in node positive and negative breast cancer.
199477
3 199165
4 200461
5 200459
6 199257
7 201045
8 199433
9 199226
10 201325
11 200117
12 199715
13 200413
14 19969
15 19968

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 638 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), Toxin Mechanisms and Immunotoxins (2 papers), Glycosylation and Glycoproteins Research (2 papers), Ubiquitin and proteasome pathways (2 papers), Pancreatic function and diabetes (1 paper) and Lymphoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Developmental Neuroscience (66 citations), Oncology (378 citations), Radiology, Nuclear Medicine and Imaging (195 citations), Cancer Research (88 citations) and Immunology and Allergy (29 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 Ponzone and Riccardo Roagna. Their work appears in journals such as International Journal of Cancer, Fish Physiology and Biochemistry, Neuroscience, Journal of Biological Chemistry and European Journal of 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.

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