Raphaël B. Di Roberto
Impact in
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- CAR-T cell therapy research
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- Genomic variations and chromosomal abnormalities
Papers in
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- Receptor Mechanisms and Signaling 2
- Gene Regulatory Network Analysis 2
- CRISPR and Genetic Engineering 2
- Oncology 5
- CAR-T cell therapy research 5
- Co-authors
- Sergio G. Peisajovich (4 shared papers)Sai T. Reddy (7 shared papers)Doriana Misceo (2 shared papers)Mariano Rocchi (1 shared paper)Roscoe Stanyon (1 shared paper)Mario Ventura (1 shared paper)Oronzo Capozzi (1 shared paper)F. Bigoni (1 shared paper)
- Journals
- Nature Communications (3 papers)Molecular Therapy — Methods & Clinical Development (1 paper)Cell Reports (1 paper)Neurogenetics (1 paper)G3 Genes Genomes Genetics (1 paper)
- Partner nations
- SwitzerlandCanadaItaly
In The Last Decade
Raphaël B. Di Roberto
16 papers receiving 412 citations
Peers
Comparison fields: 5 of 59
- Oncology 92
- Genetics 92
- Molecular Biology 217
- Immunology 62
- Plant Science 83
Countries citing papers authored by Raphaël B. Di Roberto
This map shows the geographic impact of Raphaël B. Di Roberto'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 Raphaël B. Di Roberto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raphaël B. Di Roberto more than expected).
Fields of papers citing papers by Raphaël B. Di Roberto
This network shows the impact of papers produced by Raphaël B. Di Roberto. 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 Raphaël B. Di Roberto. The network helps show where Raphaël B. Di Roberto may publish in the future.
Co-authors
The 25 scholars most cited alongside Raphaël B. Di Roberto, 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 | 2008 | 89 | |
| 2 | 2011 | 66 | |
| 3 | 2022 | 44 | |
| 4 | 2009 | 36 | |
| 5 | 2012 | 33 | |
| 6 | 2020 | 24 | |
| 7 | 2021 | 23 | |
| 8 | 2021 | 22 | |
| 9 | 2013 | 17 | |
| 10 | 2017 | 14 | |
| 11 | 2021 | 14 | |
| 12 | 2022 | 13 | |
| 13 | 2016 | 13 | |
| 14 | 2017 | 5 | |
| 15 | 2025 | 3 | |
| 16 | 2023 | 2 |
About Raphaël B. Di Roberto
Raphaël B. Di Roberto is a scholar working on Molecular Biology, Oncology, Immunology, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 16 papers that have together received 418 indexed citations. Recurring topics across this work include CAR-T cell therapy research (5 papers), T-cell and B-cell Immunology (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Receptor Mechanisms and Signaling (2 papers), Immune Cell Function and Interaction (2 papers), Chromosomal and Genetic Variations (2 papers), Gene Regulatory Network Analysis (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Oncology (92 citations), Genetics (92 citations), Molecular Biology (217 citations), Immunology (62 citations) and Plant Science (83 citations). Raphaël B. Di Roberto has collaborated with scholars based in Switzerland, Canada and Italy. Frequent co-authors include Sergio G. Peisajovich, Sai T. Reddy, Doriana Misceo, Mariano Rocchi, Roscoe Stanyon, Mario Ventura, Oronzo Capozzi, F. Bigoni, Maria Francesca Cardone and Nicoletta Archidiacono. Their work appears in journals such as Nature Communications, Molecular Therapy — Methods & Clinical Development, Cell Reports, Neurogenetics and G3 Genes Genomes Genetics.
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.