Marion Arnaud
Impact in
- Immunology top 10%
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
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- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
- Peptidase Inhibition and Analysis
Papers in
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- vaccines and immunoinformatics approaches 2
- Advanced biosensing and bioanalysis techniques 2
- Nuclear Structure and Function 1
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- Immunotherapy and Immune Responses 4
- T-cell and B-cell Immunology 2
- Co-authors
- Alexandre Harari (11 shared papers)George Coukos (10 shared papers)Sara Bobisse (9 shared papers)Michal Bassani‐Sternberg (3 shared papers)Justine Michaux (2 shared papers)Philippe Guillaume (2 shared papers)David Gfeller (1 shared paper)Chloé Chong (1 shared paper)
- Journals
- Nature Cell Biology (1 paper)Advanced Science (1 paper)Clinical Cancer Research (1 paper)Molecular Metabolism (1 paper)Frontiers in Immunology (1 paper)
- Partner nations
- SwitzerlandFranceItaly
In The Last Decade
Marion Arnaud
13 papers receiving 465 citations
Peers
Comparison fields: 5 of 63
- Immunology 220
- Oncology 156
- Molecular Biology 291
- Radiology, Nuclear Medicine and Imaging 84
- Aging 4
Countries citing papers authored by Marion Arnaud
This map shows the geographic impact of Marion Arnaud'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 Marion Arnaud with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marion Arnaud more than expected).
Fields of papers citing papers by Marion Arnaud
This network shows the impact of papers produced by Marion Arnaud. 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 Marion Arnaud. The network helps show where Marion Arnaud may publish in the future.
Co-authors
The 25 scholars most cited alongside Marion Arnaud, 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 | 2019 | 211 | |
| 2 | 2023 | 58 | |
| 3 | 2015 | 52 | |
| 4 | 2015 | 32 | |
| 5 | 2020 | 25 | |
| 6 | 2023 | 24 | |
| 7 | 2018 | 18 | |
| 8 | 2019 | 13 | |
| 9 | 2021 | 10 | |
| 10 | 2021 | 9 | |
| 11 | 2023 | 9 | |
| 12 | 2019 | 7 | |
| 13 | 2024 | 5 | |
| 14 | 2025 | 0 |
About Marion Arnaud
Marion Arnaud is a scholar working on Molecular Biology, Immunology, Oncology, Biomedical Engineering and Genetics, having authored 14 papers that have together received 473 indexed citations. Recurring topics across this work include CAR-T cell therapy research (5 papers), Immunotherapy and Immune Responses (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), T-cell and B-cell Immunology (2 papers), vaccines and immunoinformatics approaches (2 papers), Advanced biosensing and bioanalysis techniques (2 papers), Innovative Microfluidic and Catalytic Techniques Innovation (2 papers) and Nuclear Structure and Function (1 paper). The work is most often cited by research in Immunology (220 citations), Oncology (156 citations), Molecular Biology (291 citations), Radiology, Nuclear Medicine and Imaging (84 citations) and Aging (4 citations). Marion Arnaud has collaborated with scholars based in Switzerland, France and Italy. Frequent co-authors include Alexandre Harari, George Coukos, Sara Bobisse, Michal Bassani‐Sternberg, Justine Michaux, Philippe Guillaume, David Gfeller, Chloé Chong, Julien Racle and Camilla Jandus. Their work appears in journals such as Nature Cell Biology, Advanced Science, Clinical Cancer Research, Molecular Metabolism and Frontiers in Immunology.
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.