Damien Luque Paz

918 total citations
35 papers, 329 citations indexed

About

Damien Luque Paz is a scholar working on Genetics, Hematology and Molecular Biology. According to data from OpenAlex, Damien Luque Paz has authored 35 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Genetics, 24 papers in Hematology and 11 papers in Molecular Biology. Recurrent topics in Damien Luque Paz's work include Myeloproliferative Neoplasms: Diagnosis and Treatment (23 papers), Acute Myeloid Leukemia Research (16 papers) and Kruppel-like factors research (10 papers). Damien Luque Paz is often cited by papers focused on Myeloproliferative Neoplasms: Diagnosis and Treatment (23 papers), Acute Myeloid Leukemia Research (16 papers) and Kruppel-like factors research (10 papers). Damien Luque Paz collaborates with scholars based in France, Switzerland and United Kingdom. Damien Luque Paz's co-authors include Radek C. Skoda, Róbert Královics, Valérie Ugo, Nils Hansen, Hui Hao-Shen, Stefan Dirnhofer, Corentin Orvain, Jean‐Christophe Ianotto, Shivam Rai and Jérémie Riou and has published in prestigious journals such as Nature Communications, Blood and Leukemia.

In The Last Decade

Damien Luque Paz

30 papers receiving 329 citations

Peers

Damien Luque Paz
Damien Luque Paz
Citations per year, relative to Damien Luque Paz Damien Luque Paz (= 1×) peers Alexandre Guy

Countries citing papers authored by Damien Luque Paz

Since Specialization
Citations

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

Fields of papers citing papers by Damien Luque Paz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Damien Luque Paz. 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 Damien Luque Paz. The network helps show where Damien Luque Paz may publish in the future.

Co-authorship network of co-authors of Damien Luque Paz

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

All Works

20 of 20 papers shown
1.
Bayart, Sophie, Sophie Haro, Anne Jourdain, et al.. (2025). Polycythemia vera and essential thrombocythemia in children, still a challenge for pediatricians. European Journal of Pediatrics. 184(2). 173–173.
2.
Cayuela, Jean‐Michel, Pierre Sujobert, Pascale Flandrin‐Gresta, et al.. (2025). Implementation science in hemato‐oncology molecular diagnostics in France via the Groupe des Biologistes Moléculaire des Hémopathies Malignes (GBMHM). HemaSphere. 9(4). e70121–e70121. 1 indexed citations
3.
Rai, Shivam, Yang Zhang, Nils Hansen, et al.. (2024). IL-1β promotes MPN disease initiation by favoring early clonal expansion of JAK2-mutant hematopoietic stem cells. Blood Advances. 8(5). 1234–1249. 15 indexed citations
4.
Paz, Damien Luque, Nils Hansen, Lucia Kubovčáková, et al.. (2024). Loss of Dnmt3a increases self-renewal and resistance to pegIFN-α in JAK2-V617F–positive myeloproliferative neoplasms. Blood. 143(24). 2490–2503. 3 indexed citations
5.
Boulland, Marie‐Laure, Damien Luque Paz, Sébastien Lachot, et al.. (2024). Tailored Digital PCR Follow-Up of Rare Fusion Transcripts after Initial Detection through RNA Sequencing in Hematological Malignancies. Journal of Molecular Diagnostics. 26(11). 1007–1017. 1 indexed citations
6.
Paz, Damien Luque, Corentin Orvain, Jean‐Christophe Ianotto, et al.. (2024). Dynamics of Calrvariant Allele Frequency with Therapy in Myeloproliferative Neoplasms. Blood. 144(Supplement 1). 485–485. 1 indexed citations
7.
Paz, Damien Luque, Ronny Nienhold, Shivam Rai, et al.. (2023). Impact of Clonal Architecture on Clinical Course and Prognosis in Patients With Myeloproliferative Neoplasms. HemaSphere. 7(5). e885–e885. 5 indexed citations
8.
Bouvier, Anne, Jérémie Riou, Sylvain Thépot, et al.. (2023). Relationship between comorbidities, mutational profile, and outcome after intensive chemotherapy in patients older than 60 years with acute myeloid leukemia: Assessment of different risk scores. American Journal of Hematology. 98(6). 922–931. 3 indexed citations
9.
Sujobert, Pierre, Olivier Kosmider, Damien Luque Paz, et al.. (2023). Targeted High-throughput Sequencing for Hematological Malignancies: A GBMHM Survey of Practice and Cost Evaluation in France. HemaSphere. 7(9). e943–e943. 2 indexed citations
10.
Paz, Damien Luque, Róbert Královics, & Radek C. Skoda. (2022). Genetic basis and molecular profiling in myeloproliferative neoplasms. Blood. 141(16). 1909–1921. 71 indexed citations
11.
Lemoine, Sandrine, Isabelle Quintin‐Roué, Marie‐Christine Rousselet, et al.. (2022). Histological and genetic characterization and follow-up of 130 patients with chronic triple-negative thrombocytosis. Haematologica. 107(11). 2725–2731. 8 indexed citations
12.
Rai, Shivam, Nils Hansen, Damien Luque Paz, et al.. (2022). Inhibition of interleukin-1β reduces myelofibrosis and osteosclerosis in mice with JAK2-V617F driven myeloproliferative neoplasm. Nature Communications. 13(1). 5346–5346. 37 indexed citations
13.
Orvain, Corentin, Jean‐Christophe Ianotto, Valérie Ugo, et al.. (2021). Efficacy and tolerability of Janus kinase inhibitors in myelofibrosis: a systematic review and network meta-analysis. Blood Cancer Journal. 11(7). 135–135. 25 indexed citations
14.
Paz, Damien Luque, et al.. (2020). Detection of intrinsic pathway factor deficiency associated with bleeding risk by kaolin‐based aPTT. International Journal of Laboratory Hematology. 42(3). e107–e109. 1 indexed citations
15.
Bouvier, Anne, Jérémie Riou, Sylvain Thépot, et al.. (2019). Quantitative chimerism in CD3-negative mononuclear cells predicts prognosis in acute myeloid leukemia patients after hematopoietic stem cell transplantation. Leukemia. 34(5). 1342–1353. 5 indexed citations
16.
Dumas, Pierre‐Yves, Olivier Mansier, Valérie Prouzet‐Mauleon, et al.. (2018). MiR-10a and HOXB4 are overexpressed in atypical myeloproliferative neoplasms. BMC Cancer. 18(1). 1098–1098. 9 indexed citations
17.
Riou, Jérémie, Françoise Boyer, Anne Bouvier, et al.. (2018). WT1 gene is overexpressed in myeloproliferative neoplasms, especially in myelofibrosis. Blood Cells Molecules and Diseases. 75. 35–40. 7 indexed citations
18.
Garaud, Soizic, Taher E. Taher, Marjolaine Debant, et al.. (2016). CD5 expression promotes IL-10 production through activation of the MAPK/Erk pathway and upregulation of TRPC1 channels in B lymphocytes. Cellular and Molecular Immunology. 15(2). 158–170. 46 indexed citations
19.
Orvain, Corentin, Damien Luque Paz, Irène Dobo, et al.. (2016). Circulating Cd34+ cell count differentiates primary myelofibrosis from other Philadelphia-negative myeloproliferative neoplasms: a pragmatic study. Annals of Hematology. 95(11). 1819–1823. 6 indexed citations
20.
Paz, Damien Luque, et al.. (2013). Proposition de « profils types » des calculs urinaires dans une population pédiatrique bretonne. Progrès en Urologie. 23(10). 899–905. 2 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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