Anna Raimbault

1.7k total citations
17 papers, 505 citations indexed

About

Anna Raimbault is a scholar working on Hematology, Genetics and Immunology. According to data from OpenAlex, Anna Raimbault has authored 17 papers receiving a total of 505 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Hematology, 9 papers in Genetics and 6 papers in Immunology. Recurrent topics in Anna Raimbault's work include Acute Myeloid Leukemia Research (10 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (5 papers) and Chronic Lymphocytic Leukemia Research (3 papers). Anna Raimbault is often cited by papers focused on Acute Myeloid Leukemia Research (10 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (5 papers) and Chronic Lymphocytic Leukemia Research (3 papers). Anna Raimbault collaborates with scholars based in France, Argentina and Austria. Anna Raimbault's co-authors include Patrick Mayeux, Emilie‐Fleur Gautier, John Hale, Marie‐Catherine Giarratana, Yaël Zermati, Frédèrique Verdier, Narla Mohandas, Michaël Dussiot, Sarah Ducamp and Virginie Salnot and has published in prestigious journals such as Blood, International Journal of Molecular Sciences and Cell Reports.

In The Last Decade

Anna Raimbault

17 papers receiving 497 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anna Raimbault France 10 296 173 168 111 79 17 505
Arjan van de Loosdrecht Netherlands 9 547 1.8× 123 0.7× 252 1.5× 40 0.4× 105 1.3× 22 643
V. Shetty United States 7 505 1.7× 250 1.4× 135 0.8× 43 0.4× 130 1.6× 9 643
Morgan L. McLemore United States 12 224 0.8× 110 0.6× 122 0.7× 61 0.5× 213 2.7× 38 579
Alice Marceau‐Renaut France 11 400 1.4× 200 1.2× 143 0.9× 34 0.3× 58 0.7× 42 505
Henning D. Popp Germany 12 181 0.6× 141 0.8× 84 0.5× 46 0.4× 64 0.8× 32 438
Ryan J. Mattison United States 12 273 0.9× 238 1.4× 159 0.9× 31 0.3× 30 0.4× 58 518
Vincent Bourgoin Canada 11 374 1.3× 263 1.5× 253 1.5× 35 0.3× 97 1.2× 16 607
Naoko Watanabe‐Okochi Japan 15 446 1.5× 481 2.8× 139 0.8× 28 0.3× 101 1.3× 31 809
RP Castleberry United States 8 235 0.8× 195 1.1× 143 0.9× 54 0.5× 67 0.8× 9 469
Alessia Tabarrini Italy 8 228 0.8× 209 1.2× 133 0.8× 54 0.5× 129 1.6× 9 493

Countries citing papers authored by Anna Raimbault

Since Specialization
Citations

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

Fields of papers citing papers by Anna Raimbault

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Raimbault

This figure shows the co-authorship network connecting the top 25 collaborators of Anna Raimbault. A scholar is included among the top collaborators of Anna Raimbault 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 Anna Raimbault. Anna Raimbault 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.
Sorel, Nathalie, Christophe Desterke, Émilie Cayssials, et al.. (2023). Deciphering Potential Molecular Signatures to Differentiate Acute Myeloid Leukemia (AML) with BCR::ABL1 from Chronic Myeloid Leukemia (CML) in Blast Crisis. International Journal of Molecular Sciences. 24(20). 15441–15441. 4 indexed citations
2.
Morlot, Susanne, Gunnar Schmidt, Bernd Auber, et al.. (2020). De novo missense variants in the RAP1B gene identified in two patients with syndromic thrombocytopenia. Clinical Genetics. 98(4). 374–378. 5 indexed citations
3.
Gautier, Emilie‐Fleur, Anna Raimbault, Pierre‐Julien Viailly, et al.. (2020). Integrated analyses of translatome and proteome identify the rules of translation selectivity in RPS14-deficient cells. Haematologica. 106(3). 746–758. 15 indexed citations
4.
Sébert, Marie, Marie Passet, Anna Raimbault, et al.. (2019). Germline DDX41 mutations define a significant entity within adult MDS/AML patients. Blood. 134(17). 1441–1444. 123 indexed citations
5.
Penther, Dominique, Pierre‐Julien Viailly, Sylvain Latour, et al.. (2019). A recurrent clonally distinct Burkitt lymphoma case highlights genetic key events contributing to oncogenesis. Genes Chromosomes and Cancer. 58(8). 595–601. 6 indexed citations
6.
Green, Alexa S., Charles Dussiau, Anna Raimbault, et al.. (2019). Phenotypic landscape of granulocytes and monocytes by multiparametric flow cytometry: A prospective study of a 1‐tube panel strategy for diagnosis and prognosis of patients with MDS. Cytometry Part B Clinical Cytometry. 98(3). 226–237. 10 indexed citations
7.
Raimbault, Anna, Raphaël Itzykson, Lise Willems, et al.. (2019). The fraction of CD117/c‐KIT‐expressing erythroid precursors predicts ESA response in low‐risk myelodysplastic syndromes. Cytometry Part B Clinical Cytometry. 96(3). 215–222. 6 indexed citations
9.
Sébert, Marie, Marie Passet, Anna Raimbault, et al.. (2018). Clinical and Molecular Characteristics of DDX41-Mutated Patients in a Large Cohort of Sporadic MDS/AML. Blood. 132(Supplement 1). 797–797. 1 indexed citations
10.
Raimbault, Anna, Sigrid Machherndl‐Spandl, Raphaël Itzykson, et al.. (2018). CD13 expression in B cell malignancies is a hallmark of plasmacytic differentiation. British Journal of Haematology. 184(4). 625–633. 11 indexed citations
11.
Gautier, Emilie‐Fleur, Sarah Ducamp, Marjorie Leduc, et al.. (2016). Comprehensive Proteomic Analysis of Human Erythropoiesis. Cell Reports. 16(5). 1470–1484. 168 indexed citations
12.
Raimbault, Anna & Nicolas Chapuis. (2016). Plasma cell leukemia revealing a G6PD deficiency. Blood. 128(26). 3178–3178. 2 indexed citations
13.
Raimbault, Anna, Cécile Pierre‐Eugène, Alexandra Rouquette, et al.. (2016). APG101 efficiently rescues erythropoiesis in lower risk myelodysplastic syndromes with severe impairment of hematopoiesis. Oncotarget. 7(12). 14898–14911. 10 indexed citations
14.
Chesnais, Virginie, Aline Renneville, Andréa Toma, et al.. (2015). Effect of lenalidomide treatment on clonal architecture of myelodysplastic syndromes without 5q deletion. Blood. 127(6). 749–760. 25 indexed citations
15.
Guy, Julien, Iléana Antony‐Debré, Emmanuel Benayoun, et al.. (2013). Flow cytometry thresholds of myeloperoxidase detection to discriminate between acute lymphoblastic or myeloblastic leukaemia. British Journal of Haematology. 161(4). 551–555. 27 indexed citations
16.
Guy, Julien, Iléana Antony‐Debré, Isabelle Arnoux, et al.. (2012). Flow Cytometry Thresholds of Myeloperoxidase Detection to Discriminate Between Acute Lymphoblastic or Myeloblastic Leukemia. Blood. 120(21). 1450–1450. 2 indexed citations
17.
Bluteau, Dominique, Ana C. Glembotsky, Anna Raimbault, et al.. (2012). Dysmegakaryopoiesis of FPD/AML pedigrees with constitutional RUNX1 mutations is linked to myosin II deregulated expression. Blood. 120(13). 2708–2718. 76 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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