Mathieu Raynal

633 citations
14 papers · 279 · h-index 6

Impact in

    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers

Papers in

Mathieu Raynal

13 papers receiving 271 citations

Peers

Mathieu Raynal
Comparison fields: 5 of 60
  • Immunology 154
  • Oncology 112
  • Human-Computer Interaction 22
  • Hematology 28
  • Cancer Research 33
Replace Kimaada Allette with:
Kimaada Allette United States
Nader Atlasy Netherlands
Grace Shih United States
Sebastian Bittner Germany
Sonja M. Lacher Germany
Hyesuk Yoon United States
Masashi Matsuda Japan
Michelle L. Y. Wong Hong Kong
Amiya K. Patra Germany
Elisa Cappuzzello Italy
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Citations per field
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Citations per year

Countries citing papers authored by Mathieu Raynal

Since Specialization
Citations

This map shows the geographic impact of Mathieu Raynal'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 Mathieu Raynal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathieu Raynal more than expected).

Fields of papers citing papers by Mathieu Raynal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mathieu Raynal. 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 Mathieu Raynal. The network helps show where Mathieu Raynal may publish in the future.

Co-authors

The 25 scholars most cited alongside Mathieu Raynal, 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 Mathieu Raynal Line = papers co-authored together Mathieu Raynal links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 1994130
2 198954
3 198831
4 198730
5 201012
6 20105
7 20124
8 20243
9 19953
10 20103
11
[Natural selection and medical triage: everyday realities].
20022
12 20221
13
Randomized Multivalued Consensus
20001
14 20220

About Mathieu Raynal

Mathieu Raynal is a scholar working on Cognitive Neuroscience, Molecular Biology, Human-Computer Interaction, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, having authored 14 papers that have together received 279 indexed citations. Recurring topics across this work include Tactile and Sensory Interactions (5 papers), Interactive and Immersive Displays (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Augmented Reality Applications (2 papers), CAR-T cell therapy research (2 papers), Gaze Tracking and Assistive Technology (1 paper), Hearing Impairment and Communication (1 paper) and Cutaneous Melanoma Detection and Management (1 paper). The work is most often cited by research in Immunology (154 citations), Oncology (112 citations), Human-Computer Interaction (22 citations), Hematology (28 citations) and Cancer Research (33 citations). Mathieu Raynal has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Guislaine Carcelain, Thierry Hercend, Frédéric Triebel, Andréas Mackensen, Sophie Viel, J. Bosq, T. Hirano, Selina Chen‐Kiang, L Mayer and David H. Solomon. Their work appears in journals such as Proceedings of the National Academy of Sciences, Annals of the New York Academy of Sciences, Journal of Clinical Investigation, Bone and Multimodal Technologies and Interaction.

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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