Matthieu Duchmann

911 total citations
11 papers, 92 citations indexed

About

Matthieu Duchmann is a scholar working on Hematology, Molecular Biology and Cancer Research. According to data from OpenAlex, Matthieu Duchmann has authored 11 papers receiving a total of 92 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Hematology, 6 papers in Molecular Biology and 4 papers in Cancer Research. Recurrent topics in Matthieu Duchmann's work include Acute Myeloid Leukemia Research (10 papers), Cancer Genomics and Diagnostics (4 papers) and Single-cell and spatial transcriptomics (3 papers). Matthieu Duchmann is often cited by papers focused on Acute Myeloid Leukemia Research (10 papers), Cancer Genomics and Diagnostics (4 papers) and Single-cell and spatial transcriptomics (3 papers). Matthieu Duchmann collaborates with scholars based in France, Brazil and Germany. Matthieu Duchmann's co-authors include Raphaël Itzykson, Éric Solary, Nolwenn Lucas, Lucie Laplane, Thomas Cluzeau, Pierre Fenaux, Lionel Faivre, Xavier Thomas, Juliette Lambert and I. Patry and has published in prestigious journals such as Blood, BMC Bioinformatics and Cancers.

In The Last Decade

Matthieu Duchmann

7 papers receiving 90 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthieu Duchmann France 4 61 46 26 18 10 11 92
Harald Polzer Germany 6 111 1.8× 83 1.8× 39 1.5× 10 0.6× 13 1.3× 9 141
Nathalie Jacque France 5 41 0.7× 19 0.4× 14 0.5× 22 1.2× 10 1.0× 6 69
Aron Skaftason Sweden 5 50 0.8× 44 1.0× 9 0.3× 24 1.3× 10 1.0× 7 84
Kristen Meldi United States 4 111 1.8× 112 2.4× 41 1.6× 20 1.1× 15 1.5× 6 166
Konstanze Doehner Germany 4 41 0.7× 68 1.5× 13 0.5× 12 0.7× 9 0.9× 14 101
Courteney K. Lai Germany 6 50 0.8× 68 1.5× 7 0.3× 14 0.8× 11 1.1× 8 104
Laurène Fenwarth France 6 56 0.9× 39 0.8× 17 0.7× 12 0.7× 20 2.0× 19 92
Gunilla Walldin Sweden 4 46 0.8× 26 0.6× 32 1.2× 16 0.9× 6 0.6× 12 86
Y. Lucy Liu United States 6 97 1.6× 102 2.2× 52 2.0× 14 0.8× 14 1.4× 15 153
Charles Dussiau France 7 40 0.7× 51 1.1× 19 0.7× 13 0.7× 5 0.5× 11 101

Countries citing papers authored by Matthieu Duchmann

Since Specialization
Citations

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

Fields of papers citing papers by Matthieu Duchmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthieu Duchmann

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

All Works

11 of 11 papers shown
1.
Zhao, Lin‐Pierre, Emmanuelle Clappier, Matthieu Duchmann, et al.. (2025). Prognostic significance of monocytic-like phenotype in patients with AML treated with venetoclax and azacytidine. Blood Advances. 9(14). 3556–3565.
2.
Duchmann, Matthieu, et al.. (2024). Single-cell sequencing applications in acute myeloid leukemia. Leukemia & lymphoma. 66(2). 175–189.
3.
Duployez, Nicolas, Martin Figeac, Sandrine Geffroy, et al.. (2022). Frugal alignment-free identification of FLT3-internal tandem duplications with FiLT3r. BMC Bioinformatics. 23(1). 448–448.
4.
Duployez, Nicolas, Matthieu Duchmann, Laëtitia Largeaud, et al.. (2021). Prognostic Significance of DDX41 Germline Mutations in Intensively Treated AML Patients: An ALFA-Filo Study. Blood. 138(Supplement 1). 612–612.
5.
Duchmann, Matthieu, Lucie Laplane, & Raphaël Itzykson. (2021). Clonal Architecture and Evolutionary Dynamics in Acute Myeloid Leukemias. Cancers. 13(19). 4887–4887. 16 indexed citations
6.
Beldi‐Ferchiou, Asma, Abir Wahab, Matthieu Duchmann, et al.. (2020). High effector-memory CD8+ T-cell levels correlate with high PML risk in natalizumab-treated patients. Multiple Sclerosis and Related Disorders. 46. 102470–102470. 3 indexed citations
7.
Duchmann, Matthieu, Lionel Faivre, Claude Preudhomme, et al.. (2020). Niche-like Ex Vivo High Throughput (NEXT) Drug Screening Platform in Acute Myeloid Leukemia. Blood. 136(Supplement 1). 12–13. 2 indexed citations
8.
Duchmann, Matthieu & Raphaël Itzykson. (2019). Clinical update on hypomethylating agents. International Journal of Hematology. 110(2). 161–169. 40 indexed citations
9.
Itzykson, Raphaël, Matthieu Duchmann, Nolwenn Lucas, & Éric Solary. (2017). CMML: Clinical and molecular aspects. International Journal of Hematology. 105(6). 711–719. 28 indexed citations
10.
Duchmann, Matthieu, Pierre Fenaux, & Thomas Cluzeau. (2015). Prise en charge des myélodysplasies. Bulletin du Cancer. 102(11). 946–957. 2 indexed citations
11.
Duchmann, Matthieu, Thorsten Braun, Olivier Kosmider, et al.. (2015). A Two-Gene Classifier for Chronic Myelomonocytic Leukemia (CMML) Patients Treated with Hypomethylating Agents (HMA): A Report By the GFM. Blood. 126(23). 2872–2872. 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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