Dominique Leroux

5.8k citations
74 papers · 2.4k · h-index 24

Impact in

  • Genetics top 1%
    • Chronic Lymphocytic Leukemia Research
  • Hematology top 1%
    • Multiple Myeloma Research and Treatments

Papers in

Dominique Leroux

73 papers receiving 2.4k citations

Peers

Dominique Leroux
Comparison fields: 5 of 84
  • Genetics 660
  • Hematology 672
  • Pathology and Forensic Medicine 912
  • Oncology 841
  • Dermatology 255
Replace Barbara Bigerna with:
Barbara Bigerna Italy
Ellen D. Remstein United States
Teresa K. Kimlinger United States
Richard Garand France
R. D. Gascoyne Canada
Ryo Ichinohasama Japan
Enrico Tiacci Italy
Robert Coupland Canada
Paula Marlton Australia
Rémy Gressin France
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Citations per field
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Citations per year

Countries citing papers authored by Dominique Leroux

Since Specialization
Citations

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

Fields of papers citing papers by Dominique Leroux

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dominique Leroux, 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 Dominique Leroux Line = papers co-authored together Dominique Leroux links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003288
2 2001277
3 2002142
4 1991139
5 1998129
6
CD4+ CD56+ lineage negative malignancies: a new entity developed from malignant early plasmacytoid dendritic cells.
2003113
7 199388
8 200378
9 200175
10
Human chronic myeloid leukemic cell line with positive Philadelphia chromosome exhibits megakaryocytic and erythroid characteristics.
198775
11 200070
12 201468
13 201658
14 200751
15 199850
16 199643
17 201243
18 201140
19 199538
20 201831

About Dominique Leroux

Dominique Leroux is a scholar working on Pathology and Forensic Medicine, Oncology, Molecular Biology, Genetics and Immunology, having authored 74 papers that have together received 2.4k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (27 papers), Chronic Lymphocytic Leukemia Research (23 papers), Viral-associated cancers and disorders (14 papers), Immune Cell Function and Interaction (11 papers), Genetic factors in colorectal cancer (8 papers), T-cell and B-cell Immunology (8 papers), Acute Myeloid Leukemia Research (7 papers) and DNA Repair Mechanisms (6 papers). The work is most often cited by research in Genetics (660 citations), Hematology (672 citations), Pathology and Forensic Medicine (912 citations), Oncology (841 citations) and Dermatology (255 citations). Dominique Leroux has collaborated with scholars based in France, United Kingdom and Poland. Frequent co-authors include Christian Bastard, Nicole Smadja, Christophe Brigaudeau, Christophe Fruchart, Rémy Gressin, Joël Plumas, Mary Callanan, Laurence Chaperot, Michèle Monteil and Jean‐Paul Molens. Their work appears in journals such as Genes Chromosomes and Cancer, British Journal of Haematology, Blood, The Journal of Immunology and Leukemia Research.

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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