Éric Delabesse

24.5k total citations · 3 hit papers
156 papers, 7.1k citations indexed

About

Éric Delabesse is a scholar working on Hematology, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Éric Delabesse has authored 156 papers receiving a total of 7.1k indexed citations (citations by other indexed papers that have themselves been cited), including 103 papers in Hematology, 58 papers in Molecular Biology and 41 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Éric Delabesse's work include Acute Myeloid Leukemia Research (87 papers), Acute Lymphoblastic Leukemia research (39 papers) and Chronic Myeloid Leukemia Treatments (30 papers). Éric Delabesse is often cited by papers focused on Acute Myeloid Leukemia Research (87 papers), Acute Lymphoblastic Leukemia research (39 papers) and Chronic Myeloid Leukemia Treatments (30 papers). Éric Delabesse collaborates with scholars based in France, United States and United Kingdom. Éric Delabesse's co-authors include Elizabeth Macintyre, Jacques J. M. van Dongen, Christian Récher, J Gäbert, Enrico Gottardi, Giuseppe Saglio, Nicole Brousse, Christophe Cellier, Nadine Cerf–Bensussan and Bana Jabrì and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and Journal of Clinical Investigation.

In The Last Decade

Éric Delabesse

146 papers receiving 6.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Standardized RT-PCR analysis of fusion gene transcripts from chromosome aberrations in acute leukemia for detection of minimal residual disease

1999 865 citations Éric Delabesse et al. profile →
Evaluation of candidate control genes for diagnosis and residual disease detection in leukemic patients using ‘real-time’ quantitative reverse-transcriptase polymerase chain reaction (RQ-PCR) – a Europe against cancer program

2003 656 citations Éric Delabesse, Elizabeth Macintyre et al. profile →
Refractory sprue, coeliac disease, and enteropathy-associated T-cell lymphoma

2000 517 citations Éric Delabesse, Elizabeth Macintyre et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Éric Delabesse France	38	3.7k	2.5k	2.0k	1.3k	1.0k	156	7.1k
Elizabeth Macintyre France	44	2.8k 0.8×	1.9k 0.7×	2.4k 1.2×	1.4k 1.0×	1.5k 1.5×	237	7.7k
F Bauters France	45	5.2k 1.4×	2.6k 1.0×	721 0.4×	3.0k 2.3×	1.4k 1.3×	211	7.3k
Stephen Devereux United Kingdom	35	1.8k 0.5×	869 0.3×	412 0.2×	1.7k 1.3×	1.1k 1.0×	163	4.7k
L Degos France	43	3.6k 1.0×	3.4k 1.3×	798 0.4×	681 0.5×	907 0.9×	193	6.9k
Åke Öst Sweden	35	2.0k 0.5×	720 0.3×	259 0.1×	772 0.6×	868 0.8×	112	4.4k
Shigeo Horiike Japan	31	2.1k 0.6×	1.6k 0.7×	573 0.3×	933 0.7×	935 0.9×	165	4.1k
Dina Ben‐Yehuda Israel	35	1.7k 0.5×	2.1k 0.8×	292 0.1×	1.2k 0.9×	1.3k 1.3×	124	4.8k
Gösta Gahrton Sweden	52	4.1k 1.1×	2.6k 1.0×	695 0.4×	2.3k 1.7×	2.2k 2.2×	268	8.3k
Terry J. Hamblin United Kingdom	43	5.3k 1.4×	2.7k 1.1×	955 0.5×	7.6k 5.7×	1.6k 1.5×	163	12.8k
Véronique Leblond France	43	2.1k 0.6×	1.8k 0.7×	255 0.1×	3.1k 2.3×	2.5k 2.4×	218	7.2k

Countries citing papers authored by Éric Delabesse

Since Specialization

Citations

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

Fields of papers citing papers by Éric Delabesse

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Éric Delabesse

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

All Works

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20 of 20 papers shown

Largeaud, Laëtitia, Naïs Prade, Christine Didier, et al.. (2025). GATA2 mutated allele specific expression is associated with a hyporesponsive state of HSC in GATA2 deficiency syndrome. Blood Cancer Journal. 15(1). 7–7. 2 indexed citations

Alliot, Jean‐Marc, Pierre‐Yves Dumas, François Vergez, et al.. (2024). Artificial intelligence-based prediction models for acute myeloid leukemia using real-life data: A DATAML registry study. Leukemia Research. 136. 107437–107437. 10 indexed citations

Leroy, Harmony, Emilie Bérard, Isabelle Luquet, et al.. (2024). Dismal outcome of refractory or relapsing patients with myelodysplasia‐related acute myeloid leukemia partially alleviated by intensive chemotherapy. Cancer Medicine. 13(3). e7003–e7003. 1 indexed citations

Bertoli, Sarah, Maël Heiblig, Thibaut Leguay, et al.. (2024). Real-World Multicenter Comparison of Venetoclax and Azacitidine Versus Intermediate or High Dose Cytarabine-Based Salvage for Patients with AML in First Relapse after Front Line Intensive Chemotherapy. a Dataml-IPC-Auraml Consortium Study. Blood. 144(Supplement 1). 4275–4275.

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

Largeaud, Laëtitia, Naïs Prade, Isabelle Luquet, et al.. (2023). Stem cell–like reprogramming is required for leukemia-initiating activity in B-ALL. The Journal of Experimental Medicine. 221(1). 2 indexed citations

Duployez, Nicolas, Juliette Lambert, Maël Heiblig, et al.. (2023). Hyperleukocytosis Increases the Risk of Early Relapses Independently of Genetics in AML. Blood. 142(Supplement 1). 4322–4322.

Bertoli, Sarah, Laëtitia Largeaud, Jean‐Baptiste Rieu, et al.. (2022). Prognostic Impact of Unsupervised Early Assessment of Bulk and Leukemic Stem Cell Measurable Residual Disease in Acute Myeloid Leukemia. Clinical Cancer Research. 29(1). 134–142. 11 indexed citations

Singh, Preeti, Anastasia Resteu, Aneta Mikulášová, et al.. (2021). GATA2 deficiency phenotype associated with tandem duplication of GATA2 and overexpression of GATA2-AS1. Blood Advances. 5(24). 5631–5635. 5 indexed citations

10.

Dumas, Pierre‐Yves, Sarah Bertoli, Emilie Bérard, et al.. (2020). Real-World Outcomes of Patients with Refractory or Relapsed FLT3-ITD Acute Myeloid Leukemia: A Toulouse-Bordeaux DATAML Registry Study. Cancers. 12(8). 2044–2044. 5 indexed citations

11.

Tavitian, Suzanne, Sarah Bertoli, Françoise Huguet, et al.. (2020). Dactinomycin in acute myeloid leukemia with NPM1 mutations. European Journal Of Haematology. 105(3). 302–307. 9 indexed citations

12.

Cahu, Xavier, Julien Calvo, Sandrine Poglio, et al.. (2017). Bone marrow sites differently imprint dormancy and chemoresistance to T-cell acute lymphoblastic leukemia. Blood Advances. 1(20). 1760–1772. 43 indexed citations

13.

Vergez, François, Alexa S. Green, Jérôme Tamburini, et al.. (2011). High levels of CD34+CD38low/-CD123+ blasts are predictive of an adverse outcome in acute myeloid leukemia: a Groupe Ouest-Est des Leucemies Aigues et Maladies du Sang (GOELAMS) study. Haematologica. 96(12). 1792–1798. 147 indexed citations

14.

Kosmider, Olivier, Éric Delabesse, Véronique Mansat‐De Mas, et al.. (2011). TET2 mutations in secondary acute myeloid leukemias: a French retrospective study. Haematologica. 96(7). 1059–1063. 31 indexed citations

15.

Jean, Christine, Naïs Prade-Houdellier, Loïc Ysebaert, et al.. (2009). Epidermal Growth Factor Receptor/β-Catenin/T-Cell Factor 4/Matrix Metalloproteinase 1: A New Pathway for Regulating Keratinocyte Invasiveness after UVA Irradiation. Cancer Research. 69(8). 3291–3299. 26 indexed citations

16.

Della-Valle, Véronique, Éric Delabesse, Roland Berger, et al.. (2008). Transcriptional activation of the cardiac homeobox gene CSX1/NKX2-5 in a B-cell chronic lymphoproliferative disorder. Haematologica. 93(7). 1081–1085. 6 indexed citations

17.

Delabesse, Éric, et al.. (2007). Apport de la PCR en temps réel dans le diagnostic anténatal de la toxoplasmose congénitale. 85(5). 385–388. 2 indexed citations

18.

Libura, Marta, Anh-Hue Thi Tu, Isabelle Tigaud, et al.. (2002). Flt3 and MLL internal tandem duplications and topoisomerase II breakages reflect a common category of genotoxic stress: An EORTC study. Blood. 100(11). 2 indexed citations

19.

Delabesse, Éric, Muriel Bernard, Valérie Meyer, et al.. (1998). TAL1 expression does not occur in the majority of T‐ALL blasts. British Journal of Haematology. 102(2). 449–457. 15 indexed citations

20.

François, Sylvie, Éric Delabesse, Laurence Baranger, et al.. (1998). Deregulated expression of theTAL1 gene by t(1;5)(p32;q31) in patient with T-cell acute lymphoblastic leukemia. Genes Chromosomes and Cancer. 23(1). 36–43. 11 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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