Margot Morabito

1.7k total citations
11 papers, 335 citations indexed

About

Margot Morabito is a scholar working on Hematology, Immunology and Genetics. According to data from OpenAlex, Margot Morabito has authored 11 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Hematology, 7 papers in Immunology and 4 papers in Genetics. Recurrent topics in Margot Morabito's work include Acute Myeloid Leukemia Research (8 papers), Chronic Lymphocytic Leukemia Research (4 papers) and Immune cells in cancer (4 papers). Margot Morabito is often cited by papers focused on Acute Myeloid Leukemia Research (8 papers), Chronic Lymphocytic Leukemia Research (4 papers) and Immune cells in cancer (4 papers). Margot Morabito collaborates with scholars based in France, Germany and Switzerland. Margot Morabito's co-authors include Éric Solary, Nathalie Droin, Raphaël Itzykson, William Vainchenker, Aline Renneville, Pierre Fenaux, Olivier Bernard, Guillaume Meurice, Claude Preudhomme and Michaëla Fontenay and has published in prestigious journals such as Nature Communications, Blood and Haematologica.

In The Last Decade

Margot Morabito

10 papers receiving 332 citations

Peers

Margot Morabito

HEMAT

GENET

MB

IMMUN

CR

Sarah Abu Kar United States

Iléana Antony‐Debré France

Laure Gilles France

Masuzu Ueda Japan

Heather Cazzolli United States

Jiřı́ Schwarz Czechia

Jonas S. Jutzi United States

Edy Hasrouni United States

Tina L. Hamilton United Kingdom

Matthew Smith United Kingdom

Sarah Abu Kar United States

Margot Morabito

241 ×0.9

HEMAT

132 ×0.8

GENET

230 ×1.9

MB

36 ×0.6

IMMUN

33 ×0.9

CR

Citations per year, relative to Margot Morabito Margot Morabito (= 1×) peers Sarah Abu Kar

Countries citing papers authored by Margot Morabito

Since Specialization

Citations

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

Fields of papers citing papers by Margot Morabito

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Margot Morabito

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

All Works

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11 of 11 papers shown

1.

Morabito, Margot, Éric Solary, & Dorothée Selimoglu‐Buet. (2025). Protocol for quantification of circulating immature granulocytes in patients with a chronic myeloid malignancy using flow cytometry. STAR Protocols. 6(3). 104009–104009.

2.

Chelbi, Rabie, Mathieu Bohm, Aikaterini Polyzou, et al.. (2024). Targeting heterochromatin eliminates chronic myelomonocytic leukemia malignant stem cells through reactivation of retroelements and immune pathways. Communications Biology. 7(1). 1555–1555. 2 indexed citations

3.

Diop, M’Boyba, Julie Rivière, Gérard Pierron, et al.. (2019). Dynamic gene regulation by nuclear colony-stimulating factor 1 receptor in human monocytes and macrophages. Nature Communications. 10(1). 1935–1935. 24 indexed citations

4.

Morabito, Margot, Andréa Toma, Gabriel Étienne, et al.. (2019). Disappearance of slan-positive non-classical monocytes for diagnosis of chronic myelomonocytic leukemia with an associated inflammatory state. Haematologica. 105(4). e147–e152. 15 indexed citations

5.

Selimoglu‐Buet, Dorothée, Julie Rivière, Hussein Ghamlouch, et al.. (2018). A miR-150/TET3 pathway regulates the generation of mouse and human non-classical monocyte subset. Nature Communications. 9(1). 5455–5455. 28 indexed citations

6.

Zhang, Yanyan, Dorothée Selimoglu‐Buet, Margot Morabito, et al.. (2017). Engraftment of chronic myelomonocytic leukemia cells in immunocompromised mice supports disease dependency on cytokines. Blood Advances. 1(14). 972–979. 22 indexed citations

7.

Itzykson, Raphaël, Olivier Kosmider, Aline Renneville, et al.. (2013). Clonal architecture of chronic myelomonocytic leukemias. Blood. 121(12). 2186–2198. 184 indexed citations

8.

Itzykson, Raphaël, Olivier Kosmider, Aline Renneville, et al.. (2012). Two Distinct Mechanisms Contribute to Granulomonocytic Hyperplasia in Chronic Myelomonocytic Leukemias (CMML). Blood. 120(21). 309–309. 3 indexed citations

9.

Itzykson, Raphaël, Olivier Kosmider, Aline Renneville, et al.. (2012). Comprehensive Genetic Screening of Chronic Myelomonocytic Leukemias (CMML). Blood. 120(21). 3811–3811. 1 indexed citations

10.

Antony‐Debré, Iléana, Dominique Bluteau, Raphaël Itzykson, et al.. (2012). MYH10 protein expression in platelets as a biomarker of RUNX1 and FLI1 alterations. Blood. 120(13). 2719–2722. 52 indexed citations

11.

Droin, Nathalie, Raphaël Itzykson, Philippe Rameau, et al.. (2010). Myeloid-Derived Suppressive Cells Belonging to the Leukemic Clone Account for Immunosuppression In CMML. Blood. 116(21). 3997–3997. 4 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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