Raphaël F. Rousseau
- Oncology top 5%
- Molecular Biology top 10%
- Immunology top 5%
- Neurology top 2%
- Genetics top 10%
- Co-authors
- Malcolm K. BrennerEttore BiagiEric YvonGianpietro DottiValérie CombaretZhuyong MeiDonna RillStéphane Vigouroux
- Topics
- Neuroblastoma Research and Treatments (19 papers)CAR-T cell therapy research (12 papers)Immunotherapy and Immune Responses (11 papers)
- Cited by
- NeurologyImmunologyOncology
- Journals
- Journal of Clinical InvestigationThe Journal of Experimental MedicineJournal of Clinical Oncology
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Raphaël F. Rousseau
53 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 98
- Oncology 758
- Molecular Biology 708
- Immunology 599
- Neurology 475
- Genetics 286
Countries citing papers authored by Raphaël F. Rousseau
This map shows the geographic impact of Raphaël F. Rousseau'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 F. Rousseau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raphaël F. Rousseau more than expected).
Fields of papers citing papers by Raphaël F. Rousseau
This network shows the impact of papers produced by Raphaël F. Rousseau. 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 F. Rousseau. The network helps show where Raphaël F. Rousseau may publish in the future.
Co-authorship network of co-authors of Raphaël F. Rousseau
This figure shows the co-authorship network connecting the top 25 collaborators of Raphaël F. Rousseau. A scholar is included among the top collaborators of Raphaël F. Rousseau 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 F. Rousseau. Raphaël F. Rousseau is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 8 | |
| 3 | 20 | |
| 4 | 6 | |
| 5 | 15 | |
| 6 | 107 | |
| 7 | 59 | |
| 8 | 10 | |
| 9 | 29 | |
| 10 | Non-invasive imaging correlates with histological and molecular characteristics of an osteosarcoma model: application for early detection and follow-up of MDR phenotype. | 12 |
| 11 | 31 | |
| 12 | 25 | |
| 13 | 72 | |
| 14 | 5 | |
| 15 | 128 | |
| 16 | 7 | |
| 17 | 4 | |
| 18 | 3 | |
| 19 | 31 | |
| 20 | Méthodologie de la régression et de la prédiction fondée sur la classification automatique | 2 |
About Raphaël F. Rousseau
Raphaël F. Rousseau is a scholar working on Neurology, Immunology and Oncology, having authored 56 papers that have together received 1.8k indexed citations. Recurring topics across this work include Neuroblastoma Research and Treatments (19 papers), CAR-T cell therapy research (12 papers) and Immunotherapy and Immune Responses (11 papers). The work is most often cited by research in Neurology (475 citations), Immunology (599 citations) and Oncology (758 citations). Raphaël F. Rousseau has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Malcolm K. Brenner, Ettore Biagi, Eric Yvon, Gianpietro Dotti, Valérie Combaret, Zhuyong Mei, Donna Rill, Stéphane Vigouroux, Virna Marin and Dominique Valteau‐Couanet. Their work appears in journals such as Journal of Clinical Investigation, The Journal of Experimental Medicine and Journal of Clinical Oncology.
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.