Renaud Morin

450 total citations
20 papers, 258 citations indexed

About

Renaud Morin is a scholar working on Oncology, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Renaud Morin has authored 20 papers receiving a total of 258 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Oncology, 6 papers in Molecular Biology and 5 papers in Pathology and Forensic Medicine. Recurrent topics in Renaud Morin's work include CAR-T cell therapy research (5 papers), Lymphoma Diagnosis and Treatment (5 papers) and Cancer Immunotherapy and Biomarkers (4 papers). Renaud Morin is often cited by papers focused on CAR-T cell therapy research (5 papers), Lymphoma Diagnosis and Treatment (5 papers) and Cancer Immunotherapy and Biomarkers (4 papers). Renaud Morin collaborates with scholars based in France, Spain and Switzerland. Renaud Morin's co-authors include Jean‐Michel Lagarde, Daniel Marcellino, Veronica Mas Casullo, Lourens J.D. Zaneveld, Betsy C. Herold, Robert A. Anderson, Fritz François, Donald P. Waller, Patricia Pérez‐Galán and Mary E. Klotman and has published in prestigious journals such as Blood, Journal of Virology and Scientific Reports.

In The Last Decade

Renaud Morin

16 papers receiving 257 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Renaud Morin France 9 80 79 60 42 33 20 258
Stefan Petkov Sweden 10 132 1.6× 44 0.6× 112 1.9× 44 1.0× 36 1.1× 33 321
Franziska Schmidt Germany 7 109 1.4× 38 0.5× 165 2.8× 51 1.2× 15 0.5× 8 270
Qunfeng Wu United States 12 232 2.9× 49 0.6× 79 1.3× 73 1.7× 35 1.1× 19 403
Helena Costa Sweden 11 77 1.0× 86 1.1× 83 1.4× 221 5.3× 30 0.9× 16 358
Carine M. Gonçalves Portugal 11 90 1.1× 61 0.8× 162 2.7× 32 0.8× 12 0.4× 12 362
Tatiana Rabachini Brazil 10 158 2.0× 53 0.7× 83 1.4× 114 2.7× 18 0.5× 15 335
Uyen Ngoc Mui United States 10 74 0.9× 101 1.3× 114 1.9× 105 2.5× 31 0.9× 17 372
Ashley N. Della Fera United States 6 253 3.2× 53 0.7× 50 0.8× 158 3.8× 53 1.6× 7 402
Thomas Liechti United States 12 145 1.8× 44 0.6× 206 3.4× 43 1.0× 12 0.4× 22 363

Countries citing papers authored by Renaud Morin

Since Specialization
Citations

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

Fields of papers citing papers by Renaud Morin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Renaud Morin

This figure shows the co-authorship network connecting the top 25 collaborators of Renaud Morin. A scholar is included among the top collaborators of Renaud Morin 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 Renaud Morin. Renaud Morin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Morin, Renaud, Jason S. Iacovoni, Jean‐Michel Lagarde, et al.. (2025). 3D imaging and single-cell analysis reveal cellular heterogeneity of lymphatic valve endothelial cell types. iScience. 28(11). 113841–113841.
2.
Morin, Renaud, et al.. (2025). Sketchpose: Learning to Segment Cells with Partial Annotations. ArXiv.org. 3(August 2025). 367–381.
3.
Morin, Renaud, et al.. (2024). Svetlana a supervised segmentation classifier for Napari. Scientific Reports. 14(1). 11604–11604.
4.
Gravelle, Pauline, Juan García Valero, Nathalie Van Acker, et al.. (2023). Patient-derived lymphoma spheroids integrating immune tumor microenvironment as preclinical follicular lymphoma models for personalized medicine. Journal for ImmunoTherapy of Cancer. 11(10). e007156–e007156. 9 indexed citations
5.
Valero, Juan García, Ferran Nadeu, Renaud Morin, et al.. (2023). A novel patient-derived 3D model recapitulates mantle cell lymphoma lymph node signaling, immune profile and in vivo ibrutinib responses. Leukemia. 37(6). 1311–1323. 17 indexed citations
6.
Scoca, Viviana, et al.. (2022). HIV-induced membraneless organelles orchestrate post-nuclear entry steps. Journal of Molecular Cell Biology. 14(11). 20 indexed citations
8.
Valero, Juan García, Ferran Nadeu, Renaud Morin, et al.. (2022). Immunocompetent 3D Follicular Lymphoma Model: A Preclinical Tool to Design Tailored Immunotherapies. Blood. 140(Supplement 1). 9279–9280. 1 indexed citations
9.
Valero, Juan García, Ferran Nadeu, Renaud Morin, et al.. (2022). Combination of Ibrutinib and Nivolumab Overcomes Ibrutinib Resistance in a Novel Patient-Derived Mantle Cell Lymphoma 3D Model. Blood. 140(Supplement 1). 1323–1324.
10.
Dejean, Sébastien, et al.. (2021). Quantitative Analysis of Cell Aggregation Dynamics Identifies HDAC Inhibitors as Potential Regulators of Cancer Cell Clustering. Cancers. 13(22). 5840–5840. 2 indexed citations
11.
Gravelle, Pauline, Juan García Valero, Renaud Morin, et al.. (2021). 3D Model Characterization by 2D and 3D Imaging in t(14;18)-Positive B-NHL: Perspectives for In Vitro Drug Screens in Follicular Lymphoma. Cancers. 13(7). 1490–1490. 9 indexed citations
12.
Mondésert, Odile, et al.. (2021). Mitotic arrest affects clustering of tumor cells. Cell Division. 16(1). 2–2. 7 indexed citations
13.
Gallardo, Franck, D Schmitt, Nathalie Silvestre, et al.. (2020). Fluorescent Tagged Vaccinia Virus Genome Allows Rapid and Efficient Measurement of Oncolytic Potential and Discovery of Oncolytic Modulators. Biomedicines. 8(12). 543–543. 10 indexed citations
14.
Bezombes, Christine, Cédric Rossi, Pauline Gravelle, et al.. (2018). Boosting Gamma Delta T Cells-Mediated ADCC By PD-1 Blockade in Follicular Lymphoma. Blood. 132(Supplement 1). 5381–5381. 1 indexed citations
15.
Rossi, Cédric, Pauline Gravelle, Mary Poupot, et al.. (2018). Boosting γδ T cell-mediated antibody-dependent cellular cytotoxicity by PD-1 blockade in follicular lymphoma. OncoImmunology. 8(3). 1554175–1554175. 50 indexed citations
16.
Komatsu, Tetsuro, Fabienne Rayne, Ralph H. Kehlenbach, et al.. (2018). In Vivo Labelling of Adenovirus DNA Identifies Chromatin Anchoring and Biphasic Genome Replication. Journal of Virology. 92(18). 42 indexed citations
17.
Morin, Renaud, Adrian Basarab, Stéphanie Bidon, & Denis Kouamé. (2015). Motion estimation-based image enhancement in ultrasound imaging. Ultrasonics. 60. 19–26. 12 indexed citations
18.
Morin, Renaud, Björn Eiben, Luc Bidaut, et al.. (2015). 3D ultrasound simulation based on a biomechanical model of prone MRI in breast cancer imaging. 33. 264–267. 1 indexed citations
19.
Morin, Renaud, et al.. (2012). Post-processing multiple-frame super-resolution in ultrasound imaging. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8320. 83201G–83201G. 5 indexed citations
20.
Herold, Betsy C., Natalia Cheshenko, Daniel Marcellino, et al.. (2002). Mandelic Acid Condensation Polymer: Novel Candidate Microbicide for Prevention of Human Immunodeficiency Virus and Herpes Simplex Virus Entry. Journal of Virology. 76(22). 11236–11244. 67 indexed citations

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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