Hervé Dombret

3.5k total citations
11 papers, 911 citations indexed

About

Hervé Dombret is a scholar working on Hematology, Public Health, Environmental and Occupational Health and Genetics. According to data from OpenAlex, Hervé Dombret has authored 11 papers receiving a total of 911 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Hematology, 6 papers in Public Health, Environmental and Occupational Health and 3 papers in Genetics. Recurrent topics in Hervé Dombret's work include Acute Lymphoblastic Leukemia research (6 papers), Chronic Myeloid Leukemia Treatments (5 papers) and Acute Myeloid Leukemia Research (4 papers). Hervé Dombret is often cited by papers focused on Acute Lymphoblastic Leukemia research (6 papers), Chronic Myeloid Leukemia Treatments (5 papers) and Acute Myeloid Leukemia Research (4 papers). Hervé Dombret collaborates with scholars based in France, United States and Germany. Hervé Dombret's co-authors include Delphine Réa, Jean–François Gautier, Thomas Cluzeau, François Guilhot, Emmanuel Messas, Tristan Mirault, Olivier Hermine, Joël Poupon, Hugues de Thé and Norbert Ifrah and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Cancer.

In The Last Decade

Hervé Dombret

11 papers receiving 900 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hervé Dombret France 10 640 432 255 241 142 11 911
Mariadomenica Divona Italy 19 868 1.4× 335 0.8× 800 3.1× 97 0.4× 165 1.2× 49 1.2k
JR Testa United States 15 1.0k 1.6× 414 1.0× 541 2.1× 104 0.4× 238 1.7× 27 1.3k
Sabine Knipp Germany 12 1.2k 1.8× 192 0.4× 521 2.0× 138 0.6× 535 3.8× 20 1.4k
R Släter Netherlands 17 606 0.9× 543 1.3× 395 1.5× 95 0.4× 120 0.8× 24 983
Inge Høgh Dufva Denmark 12 843 1.3× 265 0.6× 402 1.6× 264 1.1× 309 2.2× 22 1.1k
Dina Ben Yehuda Israel 16 190 0.3× 378 0.9× 470 1.8× 247 1.0× 126 0.9× 44 1.0k
M Masi Italy 13 458 0.7× 130 0.3× 218 0.9× 129 0.5× 105 0.7× 26 597
I Radford-Weiss France 13 518 0.8× 185 0.4× 388 1.5× 64 0.3× 120 0.8× 19 677
Susanna Fenu Italy 15 794 1.2× 203 0.5× 510 2.0× 82 0.3× 160 1.1× 30 929
A Cantù-Rajnoldi Italy 14 649 1.0× 303 0.7× 422 1.7× 73 0.3× 108 0.8× 34 809

Countries citing papers authored by Hervé Dombret

Since Specialization
Citations

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

Fields of papers citing papers by Hervé Dombret

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hervé Dombret

This figure shows the co-authorship network connecting the top 25 collaborators of Hervé Dombret. A scholar is included among the top collaborators of Hervé Dombret 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 Hervé Dombret. Hervé Dombret 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.
Cabannes‐Hamy, Aurélie, Mathieu Simonin, Guillaume P. Andrieu, et al.. (2025). Surface pTα expression predicts LCK activation and preclinical synergy of LCK and JAK coinhibition in adult T-ALL. Blood. 145(24). 2903–2913. 1 indexed citations
2.
Boyer, Thomas, Adeline Barthélémy, Alice Marceau‐Renaut, et al.. (2019). Clinical Significance of ABCB1 in Acute Myeloid Leukemia: A Comprehensive Study. Cancers. 11(9). 1323–1323. 29 indexed citations
3.
Gökbuget, Nicola, Hervé Dombret, Josep‐María Ribera, et al.. (2016). International reference analysis of outcomes in adults with B-precursor Ph-negative relapsed/refractory acute lymphoblastic leukemia. Haematologica. 101(12). 1524–1533. 142 indexed citations
4.
5.
Réa, Delphine, Tristan Mirault, Thomas Cluzeau, et al.. (2014). Early onset hypercholesterolemia induced by the 2nd-generation tyrosine kinase inhibitor nilotinib in patients with chronic phase-chronic myeloid leukemia. Haematologica. 99(7). 1197–1203. 108 indexed citations
6.
7.
Abdelali, Raouf Ben, Vahid Asnafi, Arnaud Petit, et al.. (2013). The prognosis of CALM-AF10-positive adult T-cell acute lymphoblastic leukemias depends on the stage of maturation arrest. Haematologica. 98(11). 1711–1717. 35 indexed citations
8.
Hermine, Olivier, Hervé Dombret, Joël Poupon, et al.. (2004). Phase II trial of arsenic trioxide and alpha interferon in patients with relapsed/refractory adult T-cell leukemia/lymphoma. The Hematology Journal. 5(2). 130–134. 99 indexed citations
9.
Raffoux, Emmanuel, Philippe Rousselot, Joël Poupon, et al.. (2003). Combined Treatment With Arsenic Trioxide and All-Trans-Retinoic Acid in Patients With Relapsed Acute Promyelocytic Leukemia. Journal of Clinical Oncology. 21(12). 2326–2334. 122 indexed citations
10.
11.
Dombret, Hervé, et al.. (1992). Acute lysis pneumopathy after chemotherapy for acute myelomonocytic leukemia with abnormal marrow eosinophils. Cancer. 69(6). 1356–1361. 28 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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