Marie Passet

697 total citations
8 papers, 210 citations indexed

About

Marie Passet is a scholar working on Genetics, Hematology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Marie Passet has authored 8 papers receiving a total of 210 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Genetics, 5 papers in Hematology and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Marie Passet's work include Acute Myeloid Leukemia Research (4 papers), Chronic Lymphocytic Leukemia Research (3 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers). Marie Passet is often cited by papers focused on Acute Myeloid Leukemia Research (4 papers), Chronic Lymphocytic Leukemia Research (3 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers). Marie Passet collaborates with scholars based in France, Morocco and Belgium. Marie Passet's co-authors include Emmanuelle Clappier, Anna Raimbault, Nicolas Boissel, Pierre Fenaux, Flore Sicre de Fontbrune, Emmanuel Raffoux, Lionel Adès, Jean Soulier, Nadia Vasquez and Régis Peffault de Latour and has published in prestigious journals such as Blood, Journal of Investigative Dermatology and PLoS neglected tropical diseases.

In The Last Decade

Marie Passet

8 papers receiving 209 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marie Passet France	5	134	68	61	53	36	8	210
Esther Schuler Germany	11	175 1.3×	82 1.2×	34 0.6×	57 1.1×	24 0.7×	20	269
Sigrid Machherndl‐Spandl Austria	8	159 1.2×	63 0.9×	30 0.5×	87 1.6×	14 0.4×	36	248
R. M. Stone United States	9	189 1.4×	60 0.9×	45 0.7×	129 2.4×	28 0.8×	13	304
Catharina Müller‐Thomas Germany	8	218 1.6×	82 1.2×	35 0.6×	145 2.7×	19 0.5×	19	299
Katia Girardi Italy	9	111 0.8×	21 0.3×	72 1.2×	95 1.8×	12 0.3×	17	226
Cristina Barrenetxea Spain	5	203 1.5×	35 0.5×	63 1.0×	82 1.5×	48 1.3×	6	291
Hee‐Je Kim South Korea	10	159 1.2×	70 1.0×	48 0.8×	34 0.6×	44 1.2×	38	280
Carine Gervais France	8	66 0.5×	38 0.6×	16 0.3×	94 1.8×	16 0.4×	20	186
M A Kharfan-Dabaja United States	10	235 1.8×	47 0.7×	64 1.0×	50 0.9×	42 1.2×	24	322
Xiaoli Ma China	10	150 1.1×	49 0.7×	74 1.2×	104 2.0×	5 0.1×	30	290

Countries citing papers authored by Marie Passet

Since Specialization

Citations

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

Fields of papers citing papers by Marie Passet

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marie Passet

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

All Works

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8 of 8 papers shown

Passet, Marie, Rathana Kim, & Emmanuelle Clappier. (2024). Genetic subtypes of B-cell acute lymphoblastic leukemia in adults. Blood. 145(14). 1451–1463. 4 indexed citations

Simand, Célestine, Céline Keime, Aurélie Caye, et al.. (2021). Ikaros deficiency is associated with aggressive BCR-ABL1 B-cell precursor acute lymphoblastic leukemia independent of the lineage and developmental origin. Haematologica. 107(1). 316–320. 1 indexed citations

Passet, Marie, C. Lepelletier, Marie‐Dominique Vignon‐Pennamen, et al.. (2020). Next-Generation Sequencing in Myeloid Neoplasm-Associated Sweet’s Syndrome Demonstrates Clonal Relation between Malignant Cells and Skin-Infiltrating Neutrophils. Journal of Investigative Dermatology. 140(9). 1873–1876.e5. 24 indexed citations

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

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

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

Mouri, Oussama, Gert Van der Auwera, Christophe Ravel, et al.. (2014). Easy Identification of Leishmania Species by Mass Spectrometry. PLoS neglected tropical diseases. 8(6). e2841–e2841. 31 indexed citations

Chesnais, Virginie, Aline Renneville, Andréa Toma, et al.. (2014). NPM1 Expression Level and a CRBN Polymorphism Are Able to Predict the Rate of Response to Lenalidomide in Non Del(5q) Lower Risk MDS Patients Resistant to Erythropoiesis-Stimulating Agents: The GFM Experience. Blood. 124(21). 533–533. 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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