Marion Leduc

1.5k total citations
34 papers, 786 citations indexed

About

Marion Leduc is a scholar working on Epidemiology, Molecular Biology and Cell Biology. According to data from OpenAlex, Marion Leduc has authored 34 papers receiving a total of 786 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Epidemiology, 13 papers in Molecular Biology and 6 papers in Cell Biology. Recurrent topics in Marion Leduc's work include Autophagy in Disease and Therapy (13 papers), Endoplasmic Reticulum Stress and Disease (5 papers) and CRISPR and Genetic Engineering (4 papers). Marion Leduc is often cited by papers focused on Autophagy in Disease and Therapy (13 papers), Endoplasmic Reticulum Stress and Disease (5 papers) and CRISPR and Genetic Engineering (4 papers). Marion Leduc collaborates with scholars based in France, Sweden and China. Marion Leduc's co-authors include Guido Kroemer, Oliver Kepp, Allan Sauvat, Lucillia Bezu, Juliette Humeau, Liwei Zhao, Giulia Cerrato, Peng Liu, Friedemann Loos and Wei Xie and has published in prestigious journals such as The EMBO Journal, Clinical Cancer Research and Methods in enzymology on CD-ROM/Methods in enzymology.

In The Last Decade

Marion Leduc

32 papers receiving 780 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marion Leduc France 15 258 207 186 172 160 34 786
Alessio Giubellino United States 21 605 2.3× 329 1.6× 119 0.6× 128 0.7× 90 0.6× 77 1.3k
Ondřej Kodet Czechia 17 424 1.6× 362 1.7× 62 0.3× 222 1.3× 56 0.3× 44 897
Randall Evans United States 13 609 2.4× 220 1.1× 83 0.4× 117 0.7× 54 0.3× 24 991
Ahmad Jalili Austria 14 150 0.6× 97 0.5× 64 0.3× 234 1.4× 46 0.3× 32 646
Patrick Bhola United States 11 467 1.8× 184 0.9× 87 0.5× 89 0.5× 70 0.4× 15 820
Xiaoting Hong China 14 672 2.6× 207 1.0× 56 0.3× 114 0.7× 163 1.0× 28 988
Lidia Avalle Italy 17 519 2.0× 491 2.4× 71 0.4× 413 2.4× 111 0.7× 25 1.1k
Alessandro Arcucci Italy 16 465 1.8× 378 1.8× 77 0.4× 181 1.1× 61 0.4× 35 948
Fumiyoshi Kojima Japan 17 329 1.3× 280 1.4× 104 0.6× 44 0.3× 38 0.2× 88 835
Kristen L. Jones United States 15 492 1.9× 445 2.1× 47 0.3× 201 1.2× 69 0.4× 26 976

Countries citing papers authored by Marion Leduc

Since Specialization
Citations

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

Fields of papers citing papers by Marion Leduc

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marion Leduc

This figure shows the co-authorship network connecting the top 25 collaborators of Marion Leduc. A scholar is included among the top collaborators of Marion Leduc 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 Marion Leduc. Marion Leduc 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.
Forveille, Sabrina, Liwei Zhao, Allan Sauvat, et al.. (2025). Patritumab deruxtecan induces immunogenic cell death. OncoImmunology. 14(1). 2514050–2514050. 4 indexed citations
2.
Forveille, Sabrina, et al.. (2025). Datopotamab deruxtecan induces hallmarks of immunogenic cell death. PubMed. 9. 194–200. 2 indexed citations
3.
Sauvat, Allan, Marion Leduc, Gautier Stoll, et al.. (2024). Lysosomal damage due to cholesterol accumulation triggers immunogenic cell death. Autophagy. 21(5). 934–956. 5 indexed citations
4.
Cerrato, Giulia, Allan Sauvat, Yanhua Hu, et al.. (2023). 3,4-dimethoxychalcone induces autophagy and reduces neointimal hyperplasia and aortic lesions in mouse models of atherosclerosis. Cell Death and Disease. 14(11). 758–758. 2 indexed citations
5.
Sauvat, Allan, Giulia Cerrato, Juliette Humeau, et al.. (2021). High-throughput label-free detection of DNA-to-RNA transcription inhibition using brightfield microscopy and deep neural networks. Computers in Biology and Medicine. 133. 104371–104371. 8 indexed citations
6.
Tian, Ai-Ling, Qi Wu, Peng Liu, et al.. (2021). Lysosomotropic agents including azithromycin, chloroquine and hydroxychloroquine activate the integrated stress response. Cell Death and Disease. 12(1). 6–6. 27 indexed citations
7.
Forveille, Sabrina, Marion Leduc, Allan Sauvat, et al.. (2021). High throughput screening for autophagy. Methods in cell biology. 165. 89–101. 1 indexed citations
8.
Cerrato, Giulia, Marion Leduc, Kévin Müller, et al.. (2020). Oleate-induced aggregation of LC3 at the trans-Golgi network is linked to a protein trafficking blockade. Cell Death and Differentiation. 28(5). 1733–1752. 8 indexed citations
9.
Humeau, Juliette, Allan Sauvat, Giulia Cerrato, et al.. (2020). Inhibition of transcription by dactinomycin reveals a new characteristic of immunogenic cell stress. EMBO Molecular Medicine. 12(5). e11622–e11622. 59 indexed citations
10.
Kepp, Oliver, Allan Sauvat, Marion Leduc, et al.. (2019). A fluorescent biosensor-based platform for the discovery of immunogenic cancer cell death inducers. OncoImmunology. 8(8). 1606665–1606665. 14 indexed citations
11.
Zhang, Shaoyi, Yan Wang, Wei Xie, et al.. (2019). Squaramide-based synthetic chloride transporters activate TFEB but block autophagic flux. Cell Death and Disease. 10(3). 242–242. 19 indexed citations
12.
Sauvat, Allan, Marion Leduc, Kévin Müller, Oliver Kepp, & Guido Kroemer. (2019). ColocalizR: An open-source application for cell-based high-throughput colocalization analysis. Computers in Biology and Medicine. 107. 227–234. 10 indexed citations
13.
Zhou, Heng, Laura Mondragón, Wei Xie, et al.. (2018). Oncolysis with DTT-205 and DTT-304 generates immunological memory in cured animals. Cell Death and Disease. 9(11). 1086–1086. 17 indexed citations
14.
Bezu, Lucillia, Allan Sauvat, Juliette Humeau, et al.. (2018). eIF2α phosphorylation: A hallmark of immunogenic cell death. OncoImmunology. 7(6). e1431089–e1431089. 58 indexed citations
15.
Sauvat, Allan, Kévin Müller, Mingming Tong, et al.. (2018). Trans-Fats Inhibit Autophagy Induced by Saturated Fatty Acids. EBioMedicine. 30. 261–272. 30 indexed citations
16.
Sauvat, Allan, Huimin Zhou, Marion Leduc, et al.. (2016). Automated Analysis of Fluorescence Colocalization. Methods in enzymology on CD-ROM/Methods in enzymology. 588. 219–230. 3 indexed citations
17.
Zhou, Heng, Allan Sauvat, Lígia C. Gomes‐da‐Silva, et al.. (2016). The oncolytic compound LTX-401 targets the Golgi apparatus. Cell Death and Differentiation. 23(12). 2031–2041. 28 indexed citations
18.
Lamora, Audrey, Julie Talbot, Gwenola Bougras, et al.. (2014). Overexpression of Smad7 Blocks Primary Tumor Growth and Lung Metastasis Development in Osteosarcoma. Clinical Cancer Research. 20(19). 5097–5112. 90 indexed citations
19.
Leduc, Marion, et al.. (1979). Some aspects of hair regreasing. International Journal of Cosmetic Science. 1(3). 169–176. 2 indexed citations
20.
Fournier, Pierre‐Edouard, et al.. (1961). [Contribution to the anatomoclinical study of fibroplastic parietal endocarditis: its relations to filariasis].. PubMed. 54. 869–76. 1 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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