Anne Largeot

709 total citations
17 papers, 468 citations indexed

About

Anne Largeot is a scholar working on Molecular Biology, Genetics and Hematology. According to data from OpenAlex, Anne Largeot has authored 17 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Genetics and 7 papers in Hematology. Recurrent topics in Anne Largeot's work include Acute Myeloid Leukemia Research (6 papers), Chronic Lymphocytic Leukemia Research (5 papers) and Immune Cell Function and Interaction (3 papers). Anne Largeot is often cited by papers focused on Acute Myeloid Leukemia Research (6 papers), Chronic Lymphocytic Leukemia Research (5 papers) and Immune Cell Function and Interaction (3 papers). Anne Largeot collaborates with scholars based in Luxembourg, France and United Kingdom. Anne Largeot's co-authors include Jérôme Paggetti, Etienne Moussay, Giulia Pagano, Jean Bastié, Laurent Delva, Romain Aucagne, Brice Lagrange, Éric Solary, Arlette Hammann and Nathalie Droin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Development.

In The Last Decade

Anne Largeot

17 papers receiving 465 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anne Largeot Luxembourg 11 258 176 120 90 75 17 468
Lise Forfang Norway 10 326 1.3× 249 1.4× 76 0.6× 107 1.2× 104 1.4× 14 597
Ruth Scheicher Austria 6 274 1.1× 118 0.7× 139 1.2× 148 1.6× 80 1.1× 7 502
Ingrid M. Ariës Netherlands 7 317 1.2× 193 1.1× 99 0.8× 85 0.9× 112 1.5× 9 494
Ganesan Keerthivasan United States 9 283 1.1× 89 0.5× 76 0.6× 80 0.9× 49 0.7× 13 489
Alya Zriwil Sweden 8 209 0.8× 302 1.7× 61 0.5× 129 1.4× 80 1.1× 9 518
Jayakumar Vadakekolathu United Kingdom 16 263 1.0× 207 1.2× 218 1.8× 170 1.9× 116 1.5× 52 602
Weiqi Huang United States 16 450 1.7× 208 1.2× 172 1.4× 177 2.0× 90 1.2× 36 689
Jun Mo United States 10 235 0.9× 125 0.7× 80 0.7× 168 1.9× 37 0.5× 26 480
Ilaria Cattarossi Italy 11 309 1.2× 336 1.9× 154 1.3× 64 0.7× 44 0.6× 14 569
Lemlem Alemu United States 12 228 0.9× 144 0.8× 57 0.5× 220 2.4× 30 0.4× 25 451

Countries citing papers authored by Anne Largeot

Since Specialization
Citations

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

Fields of papers citing papers by Anne Largeot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anne Largeot

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

All Works

17 of 17 papers shown
1.
Guidez, Fabien, Cyril Fournier, Anne Largeot, et al.. (2024). Protein arginine methyltransferase 2 controls inflammatory signaling in acute myeloid leukemia. Communications Biology. 7(1). 753–753. 1 indexed citations
2.
Maqbool, Muhammad Ahmad, Anne Largeot, Natalia Moncaut, et al.. (2024). The small inhibitor WM-1119 effectively targets KAT6A-rearranged AML, but not KMT2A-rearranged AML, despite shared KAT6 genetic dependency. Journal of Hematology & Oncology. 17(1). 91–91. 1 indexed citations
3.
Klapp, Vanessa, Jérôme Paggetti, Anne Largeot, & Etienne Moussay. (2023). Targeting mRNA translation aberrations: A novel approach for therapy in chronic lymphocytic leukemia. Cancer Communications. 43(12). 1373–1376. 3 indexed citations
4.
Pagano, Giulia, Philipp M. Roessner, Nikolaos Ioannou, et al.. (2023). Interleukin-27 potentiates CD8+ T-cell-mediated antitumor immunity in chronic lymphocytic leukemia. Haematologica. 108(11). 3011–3024. 7 indexed citations
5.
Wurzer, Hannah, Céline Hoffmann, Max Krecké, et al.. (2021). Intrinsic Resistance of Chronic Lymphocytic Leukemia Cells to NK Cell-Mediated Lysis Can Be Overcome In Vitro by Pharmacological Inhibition of Cdc42-Induced Actin Cytoskeleton Remodeling. Frontiers in Immunology. 12. 619069–619069. 13 indexed citations
6.
Largeot, Anne, Ernesto Gargiulo, Sandrine Pierson, et al.. (2021). The Tumor Microenvironment-Dependent Transcription Factors AHR and HIF-1α Are Dispensable for Leukemogenesis in the Eµ-TCL1 Mouse Model of Chronic Lymphocytic Leukemia. Cancers. 13(18). 4518–4518. 4 indexed citations
7.
Gargiulo, Ernesto, Pablo Elías Morande, Anne Largeot, Etienne Moussay, & Jérôme Paggetti. (2020). Diagnostic and Therapeutic Potential of Extracellular Vesicles in B-Cell Malignancies. Frontiers in Oncology. 10. 580874–580874. 20 indexed citations
8.
Pagano, Giulia, Ernesto Gargiulo, Antonio Cosma, et al.. (2020). Method for the Analysis of the Tumor Microenvironment by Mass Cytometry: Application to Chronic Lymphocytic Leukemia. Frontiers in Immunology. 11. 578176–578176. 10 indexed citations
9.
Largeot, Anne, et al.. (2019). The B-Side of Cancer Immunity: The Underrated Tune. Cells. 8(5). 449–449. 121 indexed citations
10.
Chrétien, Marie‐Lorraine, C. Legouge, Arlette Hammann, et al.. (2016). Trim33/Tif1γ is involved in late stages of granulomonopoiesis in mice. Experimental Hematology. 44(8). 727–739.e6. 14 indexed citations
11.
Largeot, Anne, Flor M. Pérez-Campo, Elli Marinopoulou, et al.. (2016). Expression of the MOZ-TIF2 oncoprotein in mice represses senescence. Experimental Hematology. 44(4). 231–237.e4. 10 indexed citations
12.
Lilly, Andrew J., Guilherme Costa, Anne Largeot, et al.. (2016). Interplay between SOX7 and RUNX1 regulates hemogenic endothelial fate in the yolk sac. Development. 143(23). 4341–4351. 29 indexed citations
13.
Quéré, Ronan, Virginie Carmignac, Marie‐Lorraine Chrétien, et al.. (2014). Tif1γ regulates the TGF-β1 receptor and promotes physiological aging of hematopoietic stem cells. Proceedings of the National Academy of Sciences. 111(29). 10592–10597. 57 indexed citations
14.
Largeot, Anne, Jérôme Paggetti, Julien Broséus, et al.. (2013). Symplekin, a polyadenylation factor, prevents MOZ and MLL activity on HOXA9 in hematopoietic cells. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1833(12). 3054–3063. 5 indexed citations
15.
Lagrange, Brice, Nathalie Droin, Romain Aucagne, et al.. (2013). A role for miR-142-3p in colony-stimulating factor 1-induced monocyte differentiation into macrophages. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1833(8). 1936–1946. 40 indexed citations
16.
Aucagne, Romain, Nathalie Droin, Jérôme Paggetti, et al.. (2011). Transcription intermediary factor 1γ is a tumor suppressor in mouse and human chronic myelomonocytic leukemia. Journal of Clinical Investigation. 121(6). 2361–2370. 89 indexed citations
17.
Paggetti, Jérôme, Anne Largeot, Romain Aucagne, et al.. (2010). Crosstalk between leukemia-associated proteins MOZ and MLL regulates HOX gene expression in human cord blood CD34+ cells. Oncogene. 29(36). 5019–5031. 44 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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