Raphaël B. Di Roberto

611 total citations
16 papers, 399 citations indexed

About

Raphaël B. Di Roberto is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Raphaël B. Di Roberto has authored 16 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Oncology and 5 papers in Immunology. Recurrent topics in Raphaël B. Di Roberto's work include CAR-T cell therapy research (5 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and T-cell and B-cell Immunology (3 papers). Raphaël B. Di Roberto is often cited by papers focused on CAR-T cell therapy research (5 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and T-cell and B-cell Immunology (3 papers). Raphaël B. Di Roberto collaborates with scholars based in Switzerland, Canada and Italy. Raphaël B. Di Roberto's co-authors include Sergio G. Peisajovich, Sai T. Reddy, Doriana Misceo, Nicoletta Archidiacono, Roscoe Stanyon, Maria Francesca Cardone, F. Bigoni, Mario Ventura, Mariano Rocchi and Oronzo Capozzi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Scientific Reports.

In The Last Decade

Raphaël B. Di Roberto

16 papers receiving 393 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Raphaël B. Di Roberto Switzerland	13	231	105	86	85	69	16	399
Murielle Saade Spain	10	219 0.9×	68 0.6×	81 0.9×	20 0.2×	27 0.4×	16	376
Nicolás G. Brukman Argentina	11	173 0.7×	71 0.7×	25 0.3×	27 0.3×	40 0.6×	15	401
Eric Evans United States	6	179 0.8×	106 1.0×	44 0.5×	13 0.2×	20 0.3×	11	482
Nerges Winblad Sweden	4	768 3.3×	118 1.1×	127 1.5×	35 0.4×	12 0.2×	4	795
Mauro Serricchio Switzerland	12	355 1.5×	40 0.4×	28 0.3×	28 0.3×	29 0.4×	20	611
Trung Huynh United States	10	274 1.2×	95 0.9×	58 0.7×	13 0.2×	105 1.5×	16	582
Jingchu Hu China	9	292 1.3×	244 2.3×	38 0.4×	42 0.5×	65 0.9×	17	575
Devika Ganesamoorthy Australia	16	390 1.7×	323 3.1×	65 0.8×	18 0.2×	10 0.1×	25	719
John Dresios United States	13	609 2.6×	73 0.7×	38 0.4×	41 0.5×	51 0.7×	21	717
Karl Petri United States	10	485 2.1×	165 1.6×	56 0.7×	54 0.6×	14 0.2×	14	528

Countries citing papers authored by Raphaël B. Di Roberto

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Raphaël B. Di Roberto

This figure shows the co-authorship network connecting the top 25 collaborators of Raphaël B. Di Roberto. A scholar is included among the top collaborators of Raphaël B. Di Roberto based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Raphaël B. Di Roberto. Raphaël B. Di Roberto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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16 of 16 papers shown

Moorthy, Sakthi D., et al.. (2025). A Sox2 enhancer cluster regulates region-specific neural fates from mouse embryonic stem cells. G3 Genes Genomes Genetics. 15(4). 2 indexed citations

Roberto, Raphaël B. Di, et al.. (2023). A method for polyclonal antigen-specific T cell-targeted genome editing (TarGET) for adoptive cell transfer applications. Molecular Therapy — Methods & Clinical Development. 30. 147–160. 2 indexed citations

Neumeier, Daniel, Alexander Yermanos, Roy A. Ehling, et al.. (2022). Phenotypic determinism and stochasticity in antibody repertoires of clonally expanded plasma cells. Proceedings of the National Academy of Sciences. 119(18). e2113766119–e2113766119. 13 indexed citations

Roberto, Raphaël B. Di, Oanh T. P. Nguyen, Heinz Läubli, et al.. (2022). speedingCARs: accelerating the engineering of CAR T cells by signaling domain shuffling and single-cell sequencing. Nature Communications. 13(1). 6555–6555. 36 indexed citations

Shui, Sailan, Pablo Gaínza, Leo Scheller, et al.. (2021). A rational blueprint for the design of chemically-controlled protein switches. Nature Communications. 12(1). 5754–5754. 21 indexed citations

Ehling, Roy A., Cédric R. Weber, Derek M. Mason, et al.. (2021). SARS-CoV-2 reactive and neutralizing antibodies discovered by single-cell sequencing of plasma cells and mammalian display. Cell Reports. 38(3). 110242–110242. 14 indexed citations

Roberto, Raphaël B. Di, et al.. (2021). Leveraging Single-Cell Sequencing for Chimeric Antigen Receptor T Cell Therapies. Trends in biotechnology. 39(12). 1308–1320. 22 indexed citations

Roberto, Raphaël B. Di, et al.. (2020). A Functional Screening Strategy for Engineering Chimeric Antigen Receptors with Reduced On-Target, Off-Tumor Activation. Molecular Therapy. 28(12). 2564–2576. 20 indexed citations

Roberto, Raphaël B. Di, Belinda S. W. Chang, & Sergio G. Peisajovich. (2017). The directed evolution of ligand specificity in a GPCR and the unequal contributions of efficacy and affinity. Scientific Reports. 7(1). 16012–16012. 13 indexed citations

10.

Roberto, Raphaël B. Di, Benjamin Scott, & Sergio G. Peisajovich. (2017). Directed Evolution Methods to Rewire Signaling Networks. Methods in molecular biology. 1596. 321–337. 5 indexed citations

11.

Roberto, Raphaël B. Di, Belinda S. W. Chang, Ala Trusina, & Sergio G. Peisajovich. (2016). Evolution of a G protein-coupled receptor response by mutations in regulatory network interactions. Nature Communications. 7(1). 12344–12344. 12 indexed citations

12.

Roberto, Raphaël B. Di & Sergio G. Peisajovich. (2013). The role of domain shuffling in the evolution of signaling networks. Journal of Experimental Zoology Part B Molecular and Developmental Evolution. 322(2). 65–72. 17 indexed citations

13.

Roberto, Raphaël B. Di, et al.. (2012). Oral immunization using live Lactococcus lactis co-expressing LACK and IL-12 protects BALB/c mice against Leishmania major infection. Vaccine. 30(39). 5726–5732. 32 indexed citations

14.

Roberto, Raphaël B. Di, Cécile Rittore, Any Cheung, et al.. (2011). NLRP7 in the spectrum of reproductive wastage: rare non-synonymous variants confer genetic susceptibility to recurrent reproductive wastage. Journal of Medical Genetics. 48(8). 540–548. 65 indexed citations

15.

Misceo, Doriana, Madeleine Fannemel, Tuva Barøy, et al.. (2009). SCA27 caused by a chromosome translocation: further delineation of the phenotype. Neurogenetics. 10(4). 371–374. 35 indexed citations

16.

Stanyon, Roscoe, Mariano Rocchi, Oronzo Capozzi, et al.. (2008). Primate chromosome evolution: Ancestral karyotypes, marker order and neocentromeres. Chromosome Research. 16(1). 17–39. 90 indexed citations

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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