ResearcherCentre National de la Recherche ScientifiqueActive in the last 2 years
Magali Richard
Matched on ORCID iD 0000-0003-3165-3218; OpenAlex author ID A5080596509. Sources: OpenAlex.
Their work
- Papers
- 4 (first author 0, last author 1)
- Trials
- 0
- Grants
- 0
- Labs led
- 0
- Collaborators
- 16
2022: 1 paper · 2023: 1 paper · 2024: none · 2025: 2 papers
Papers 4
- Redefining phenotypic intratumor heterogeneity of pancreatic ductal adenocarcinoma: a bottom-up approach. Co-author DOI 10.1002/path.6398↗
- HDMAX2-surv: high-dimensional mediation analysis of survival data with application to pancreatic cancer Last author DOI 10.1101/2025.09.09.675033↗
- Pacpaint: a histology-based deep learning model uncovers the extensive intratumor molecular heterogeneity of pancreatic adenocarcinoma. Co-author DOI 10.1038/s41467-023-39026-y↗
- PACpAInt: a deep learning approach to identify molecular subtypes of pancreatic adenocarcinoma on histology slides Co-author DOI 10.1101/2022.01.04.474951↗
Closest collaborators
The 16 strongest of 16 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.
- Cindy Neuzillet · 3 shared papers, 2022–2025 · strength 0.46
- Paper Redefining phenotypic intratumor heterogeneity of pancreatic ductal adenocarcinoma: a bottom-up approach. DOI 10.1002/path.6398↗
- Paper Pacpaint: a histology-based deep learning model uncovers the extensive intratumor molecular heterogeneity of pancreatic… DOI 10.1038/s41467-023-39026-y↗
- Paper PACpAInt: a deep learning approach to identify molecular subtypes of pancreatic adenocarcinoma on histology slides DOI 10.1101/2022.01.04.474951↗
- Rémy Nicolle · 3 shared papers, 2022–2025 · strength 0.46
- Paper Redefining phenotypic intratumor heterogeneity of pancreatic ductal adenocarcinoma: a bottom-up approach. DOI 10.1002/path.6398↗
- Paper Pacpaint: a histology-based deep learning model uncovers the extensive intratumor molecular heterogeneity of pancreatic… DOI 10.1038/s41467-023-39026-y↗
- Paper PACpAInt: a deep learning approach to identify molecular subtypes of pancreatic adenocarcinoma on histology slides DOI 10.1101/2022.01.04.474951↗
- Vinciane Rebours · 3 shared papers, 2022–2025 · strength 0.46
- Paper Redefining phenotypic intratumor heterogeneity of pancreatic ductal adenocarcinoma: a bottom-up approach. DOI 10.1002/path.6398↗
- Paper Pacpaint: a histology-based deep learning model uncovers the extensive intratumor molecular heterogeneity of pancreatic… DOI 10.1038/s41467-023-39026-y↗
- Paper PACpAInt: a deep learning approach to identify molecular subtypes of pancreatic adenocarcinoma on histology slides DOI 10.1101/2022.01.04.474951↗
- Jerome F. Cros · 3 shared papers, 2022–2025 · strength 0.46
- Paper Redefining phenotypic intratumor heterogeneity of pancreatic ductal adenocarcinoma: a bottom-up approach. DOI 10.1002/path.6398↗
- Paper Pacpaint: a histology-based deep learning model uncovers the extensive intratumor molecular heterogeneity of pancreatic… DOI 10.1038/s41467-023-39026-y↗
- Paper PACpAInt: a deep learning approach to identify molecular subtypes of pancreatic adenocarcinoma on histology slides DOI 10.1101/2022.01.04.474951↗
- Louis de Mestier · 3 shared papers, 2022–2025 · strength 0.46
- Paper Redefining phenotypic intratumor heterogeneity of pancreatic ductal adenocarcinoma: a bottom-up approach. DOI 10.1002/path.6398↗
- Paper Pacpaint: a histology-based deep learning model uncovers the extensive intratumor molecular heterogeneity of pancreatic… DOI 10.1038/s41467-023-39026-y↗
- Paper PACpAInt: a deep learning approach to identify molecular subtypes of pancreatic adenocarcinoma on histology slides DOI 10.1101/2022.01.04.474951↗
- Juan Iovanna · 3 shared papers, 2022–2025 · strength 0.46
- Paper Redefining phenotypic intratumor heterogeneity of pancreatic ductal adenocarcinoma: a bottom-up approach. DOI 10.1002/path.6398↗
- Paper Pacpaint: a histology-based deep learning model uncovers the extensive intratumor molecular heterogeneity of pancreatic… DOI 10.1038/s41467-023-39026-y↗
- Paper PACpAInt: a deep learning approach to identify molecular subtypes of pancreatic adenocarcinoma on histology slides DOI 10.1101/2022.01.04.474951↗
- Nelson Dusetti · 3 shared papers, 2022–2025 · strength 0.46
- Paper Redefining phenotypic intratumor heterogeneity of pancreatic ductal adenocarcinoma: a bottom-up approach. DOI 10.1002/path.6398↗
- Paper Pacpaint: a histology-based deep learning model uncovers the extensive intratumor molecular heterogeneity of pancreatic… DOI 10.1038/s41467-023-39026-y↗
- Paper PACpAInt: a deep learning approach to identify molecular subtypes of pancreatic adenocarcinoma on histology slides DOI 10.1101/2022.01.04.474951↗
- Florence Pittion · 1 shared paper, 2025 · strength 0.30
- Magali Svrcek · 2 shared papers, 2022–2023 · strength 0.24
- Paper Pacpaint: a histology-based deep learning model uncovers the extensive intratumor molecular heterogeneity of pancreatic… DOI 10.1038/s41467-023-39026-y↗
- Paper PACpAInt: a deep learning approach to identify molecular subtypes of pancreatic adenocarcinoma on histology slides DOI 10.1101/2022.01.04.474951↗
- Charlie Saillard · 2 shared papers, 2022–2023 · strength 0.24
- Paper Pacpaint: a histology-based deep learning model uncovers the extensive intratumor molecular heterogeneity of pancreatic… DOI 10.1038/s41467-023-39026-y↗
- Paper PACpAInt: a deep learning approach to identify molecular subtypes of pancreatic adenocarcinoma on histology slides DOI 10.1101/2022.01.04.474951↗
- Valérie Paradis · 2 shared papers, 2022–2023 · strength 0.24
- Paper Pacpaint: a histology-based deep learning model uncovers the extensive intratumor molecular heterogeneity of pancreatic… DOI 10.1038/s41467-023-39026-y↗
- Paper PACpAInt: a deep learning approach to identify molecular subtypes of pancreatic adenocarcinoma on histology slides DOI 10.1101/2022.01.04.474951↗
- Pascal R. Hammel · 2 shared papers, 2022–2023 · strength 0.24
- Paper Pacpaint: a histology-based deep learning model uncovers the extensive intratumor molecular heterogeneity of pancreatic… DOI 10.1038/s41467-023-39026-y↗
- Paper PACpAInt: a deep learning approach to identify molecular subtypes of pancreatic adenocarcinoma on histology slides DOI 10.1101/2022.01.04.474951↗
- Jean‐Baptiste Bachet · 2 shared papers, 2022–2023 · strength 0.24
- Paper Pacpaint: a histology-based deep learning model uncovers the extensive intratumor molecular heterogeneity of pancreatic… DOI 10.1038/s41467-023-39026-y↗
- Paper PACpAInt: a deep learning approach to identify molecular subtypes of pancreatic adenocarcinoma on histology slides DOI 10.1101/2022.01.04.474951↗
- Jérôme Raffenne · 1 shared paper, 2025 · strength 0.21
- Anne Couvelard Benveniste · 1 shared paper, 2025 · strength 0.21
- Marc Hilmi · 1 shared paper, 2025 · strength 0.21
How to reach this person
A chain of introductions through people who have published, run trials or held grants together (warm_path@1: fewest links first, then the strongest). Built from public records only; no contact details are kept.