Marion Chapellier

1.2k total citations
28 papers, 467 citations indexed

About

Marion Chapellier is a scholar working on Oncology, Immunology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Marion Chapellier has authored 28 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Oncology, 12 papers in Immunology and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Marion Chapellier's work include MRI in cancer diagnosis (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Immunotherapy and Immune Responses (6 papers). Marion Chapellier is often cited by papers focused on MRI in cancer diagnosis (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Immunotherapy and Immune Responses (6 papers). Marion Chapellier collaborates with scholars based in France, Sweden and United States. Marion Chapellier's co-authors include Véronique Maguer‐Satta, É. de Kerviler, E. Delay, Thibault Voeltzel, Gaëtan Pochon, C. de Bazelaire, Claude Caron de Fromentel, Carl Högberg, Marcus Järås and Patricia de Crémoux and has published in prestigious journals such as Blood, Cancer Research and Stem Cells.

In The Last Decade

Marion Chapellier

26 papers receiving 460 citations

Peers

Marion Chapellier

ONCOL

IMMUN

RNMI

Yunxiang Zhang China

Timothy N. Trotter United States

Matthias Sommer United States

Choong Chin Liew United States

Dolores Mahmud United States

María J. García‐Barchino Spain

Mathilde Romagnoli France

Nathalie Voorzanger‐Rousselot France

Imke Beier Germany

Ginés Luengo‐Gil Spain

Yunxiang Zhang China

Marion Chapellier

200 ×1.3

200 ×1.4

ONCOL

71 ×0.7

IMMUN

40 ×0.4

RNMI

121 ×1.3

Citations per year, relative to Marion Chapellier Marion Chapellier (= 1×) peers Yunxiang Zhang

Countries citing papers authored by Marion Chapellier

Since Specialization

Citations

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

Fields of papers citing papers by Marion Chapellier

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marion Chapellier

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

All Works

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20 of 20 papers shown

Martinenaite, Evelina, Shamaila Munir Ahmad, Marion Chapellier, et al.. (2025). Arginase-1-specific T cells target and modulate tumor-associated macrophages. Journal for ImmunoTherapy of Cancer. 13(1). e009930–e009930. 11 indexed citations

Chapellier, Marion, Evelina Martinenaite, Shamaila Munir Ahmad, et al.. (2024). Abstract 4094: Immune modulatory cancer vaccines against IDO1 and PD-L1 trigger distinct pathways and cooperatively reduce tumor growth in preclinical models. Cancer Research. 84(6_Supplement). 4094–4094. 1 indexed citations

Bouet, Romain, J. Busto, C. Cerna, et al.. (2023). R2D2 TPC: first Xenon results. Journal of Instrumentation. 18(10). T10001–T10001. 2 indexed citations

Kopp, Katharina, Marion Chapellier, Evelina Martinenaite, et al.. (2022). CCL22-based peptide vaccines induce anti-cancer immunity by modulating tumor microenvironment. OncoImmunology. 11(1). 2115655–2115655. 18 indexed citations

Weinert, Brian T., Evelina Martinenaite, Marion Chapellier, et al.. (2022). 1182 Modulating the tumor microenvironment by a targeting TGFB1 with vaccine-induced immune responses. Regular and Young Investigator Award Abstracts. A1226–A1226. 1 indexed citations

Ugel, Stefano, Marco Carretta, Stine Emilie Weis-Banke, et al.. (2021). Arginase 1–Based Immune Modulatory Vaccines Induce Anticancer Immunity and Synergize with Anti–PD-1 Checkpoint Blockade. Cancer Immunology Research. 9(11). 1316–1326. 41 indexed citations

Agarwal, Puneet, Marion Chapellier, Carl Högberg, et al.. (2020). CXCR4 Signaling Has a CXCL12-Independent Essential Role in Murine MLL-AF9-Driven Acute Myeloid Leukemia. Cell Reports. 31(8). 107684–107684. 29 indexed citations

Chapellier, Marion, Christina Orsmark‐Pietras, Henrik Lilljebjörn, et al.. (2019). Arrayed molecular barcoding identifies TNFSF13 as a positive regulator of acute myeloid leukemia-initiating cells. Haematologica. 104(10). 2006–2016. 16 indexed citations

Borthakur, Gautam, William B. Donnellan, Scott R. Solomon, et al.. (2019). SEL120 - a First-in-Class CDK8/19 Inhibitor As a Novel Option for the Treatment of Acute Myeloid Leukemia and High-Risk Myelodysplastic Syndrome - Data from Preclinical Studies and Introduction to a Phase Ib Clinical Trial. Blood. 134(Supplement_1). 2651–2651. 2 indexed citations

10.

Chapellier, Marion, Carl Högberg, Christina Orsmark‐Pietras, et al.. (2017). Interleukin 4 induces apoptosis of acute myeloid leukemia cells in a Stat6-dependent manner. Leukemia. 32(3). 588–596. 35 indexed citations

11.

Chapellier, Marion, Carl Högberg, Christina Orsmark‐Pietras, et al.. (2017). Agonistic targeting of TLR1/TLR2 induces p38 MAPK-dependent apoptosis and NFκB-dependent differentiation of AML cells. Blood Advances. 1(23). 2046–2057. 36 indexed citations

12.

Chapellier, Marion, Isabelle Treilleux, E. Delay, et al.. (2015). Disequilibrium of BMP2 Levels in the Breast Stem Cell Niche Launches Epithelial Transformation by Overamplifying BMPR1B Cell Response. Stem Cell Reports. 4(2). 239–254. 45 indexed citations

13.

Chapellier, Marion, et al.. (2014). Toll-like Receptor 1 Is a Candidate Therapeutic Target in Acute Myeloid Leukemia. Blood. 124(21). 5782–5782. 5 indexed citations

14.

Thomassin, Isabelle, Marion Chapellier, Patricia de Crémoux, et al.. (2013). Diffusion-weighted MRI in pretreatment prediction of response to neoadjuvant chemotherapy in patients with breast cancer. European Radiology. 23(9). 2420–2431. 80 indexed citations

15.

Bazelaire, C. de, et al.. (2013). Perfusion studies in senology. Diagnostic and Interventional Imaging. 94(12). 1279–1290. 3 indexed citations

16.

Chapellier, Marion, et al.. (2012). BMP et cancer. médecine/sciences. 28(4). 416–422. 9 indexed citations

17.

Bazelaire, C. de, et al.. (2012). Breast inflammation: Indications for MRI and PET-CT. Diagnostic and Interventional Imaging. 93(2). 104–115. 17 indexed citations

18.

Bazelaire, C. de, et al.. (2010). Imagerie TDM et IRM de l’angiogenèse tumorale. Bulletin du Cancer. 97(1). 79–90. 5 indexed citations

19.

Roux, Olivier, et al.. (2006). Determinants of hypertension control in a large French population of treated hypertensive subjects. Blood Pressure. 15(1). 6–13. 19 indexed citations

20.

Martineau, O., Marion Chapellier, G. Chardin, et al.. (2002). 320 g ionization-heat cryogenic detector for dark matter search in the EDEL WEISS experiment. AIP conference proceedings. 505–508. 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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