Mathieu Raynal

634 citations
15 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 57
  • Immunology 147
  • Oncology 106
  • Human-Computer Interaction 22
  • Hematology 27
  • Cancer Research 33
Replace Zhimei Gao with:
Zhimei Gao China
Grace Shih United States
Roshanak Shams Iran
Cynthia M. Porter United States
Adam Mark United States
Erin Oswald United States
Sonja M. Lacher Germany
Priya Hari United Kingdom
Masashi Matsuda Japan
Hsin‐Yuan Cheng United States
Mathieu Raynal relative to Zhimei Gao China Zhimei Gao's profile →
Citations per field
00.5×3.4×
Zhimei Gao · 1×
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

15 of 15 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
Randomized Multivalued Consensus
20001
13 20221
14 20260
15 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 15 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), RNA Research and Splicing (1 paper), Folate and B Vitamins Research (1 paper) and Linguistics and Discourse Analysis (1 paper). The work is most often cited by research in Immunology (147 citations), Oncology (106 citations), Human-Computer Interaction (22 citations), Hematology (27 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, Sophie Viel, Thierry Hercend, Frédéric Triebel, Andréas Mackensen, J. Bosq, L Mayer, T. Hirano, Selina Chen‐Kiang and David H. Solomon. Their work appears in journals such as Proceedings of the National Academy of Sciences, Bone, Journal of Clinical Investigation, Annals of the New York Academy of Sciences and IRBM.

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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