Magali Donnard

618 citations
26 papers · 484 · h-index 13

Impact in

  • Genetics top 5%
    • Myeloproliferative Neoplasms: Diagnosis and Treatment
    • Hemoglobinopathies and Related Disorders
  • Hematology top 10%
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments

Papers in

    • Platelet Disorders and Treatments 6
    • Acute Myeloid Leukemia Research 4
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 6
    • Blood disorders and treatments 3

Magali Donnard

26 papers receiving 459 citations

Peers

Magali Donnard
Comparison fields: 5 of 64
  • Genetics 193
  • Hematology 162
  • Rheumatology 62
  • Immunology 74
  • Internal Medicine 10
Replace Stéphanie E. Reitsma with:
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Emilsé Bermejo Argentina
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Citations per field
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Citations per year

Countries citing papers authored by Magali Donnard

Since Specialization
Citations

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

Fields of papers citing papers by Magali Donnard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Magali Donnard, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Magali Donnard Line = papers co-authored together Magali Donnard links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Diagnostic value of serum erythropoietin level in patients with absolute erythrocytosis.
2004133
2 200781
3 199431
4 200430
5 200821
6 200718
7 200316
8
A standardized endogenous megakaryocytic erythroid colony assay for the diagnosis of essential thrombocythemia.
200416
9 200516
10 202116
11 201115
12 200514
13 200913
14 20029
15 20079
16 20209
17 20068
18 20246
19 20035
20 20235

About Magali Donnard

Magali Donnard is a scholar working on Hematology, Genetics, Immunology, Genetics and Pharmacology, having authored 26 papers that have together received 484 indexed citations. Recurring topics across this work include Myeloproliferative Neoplasms: Diagnosis and Treatment (6 papers), Platelet Disorders and Treatments (6 papers), Acute Myeloid Leukemia Research (4 papers), Immune Response and Inflammation (4 papers), Inflammatory mediators and NSAID effects (3 papers), Blood disorders and treatments (3 papers), Cerebral Venous Sinus Thrombosis (2 papers) and Retinoids in leukemia and cellular processes (2 papers). The work is most often cited by research in Genetics (193 citations), Hematology (162 citations), Rheumatology (62 citations), Immunology (74 citations) and Internal Medicine (10 citations). Magali Donnard has collaborated with scholars based in France and Canada. Frequent co-authors include Franck Trimoreau, Dominique Bordessoule, Vincent Praloran, Yves Denizot, Pascal Mossuz, Pascal Turlure, Sylvie Hermouet, Nathalie Boiret, Irène Dobo and François Girodon. Their work appears in journals such as Leukemia Research, Haemophilia, Cytometry Part A, International Journal of Cancer and Journal of Thrombosis and Haemostasis.

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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