Daniel Leboeuf

534 citations
9 papers · 477 · h-index 7

Impact in

  • Hematology top 5%
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments
    • Multiple Myeloma Research and Treatments
  • Genetics top 10%
    • Chronic Lymphocytic Leukemia Research

Papers in

Daniel Leboeuf

9 papers receiving 453 citations

Peers

Daniel Leboeuf
Comparison fields: 5 of 34
  • Hematology 266
  • Genetics 126
  • Pathology and Forensic Medicine 132
  • Public Health, Environmental and Occupational Health 152
  • Oncology 74
Replace Rokuo Abe with:
Rokuo Abe Japan
H M Golomb United States
S Stass United States
William A. Wyatt United States
Gian Luigi Castoldi Italy
JD Tigaud France
Lynn Savoie Canada
John Liu Yin United Kingdom
Giovanna Meloni Italy
R. Guardia Spain
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Citations per field
00.5×1.6×
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Citations per year

Countries citing papers authored by Daniel Leboeuf

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Leboeuf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1
Description of a novel FR1 IgH PCR strategy and its comparison with three other strategies for the detection of clonality in B cell malignancies.
1995171
2 199694
3 199593
4 199634
5 199734
6 199527
7 200515
8 19977
9
Flt3 and MLL internal tandem duplications and topoisomerase II breakages reflect a common category of genotoxic stress: An EORTC study
20022

About Daniel Leboeuf

Daniel Leboeuf is a scholar working on Hematology, Public Health, Environmental and Occupational Health, Pathology and Forensic Medicine, Oncology and Genetics, having authored 9 papers that have together received 477 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (5 papers), Acute Lymphoblastic Leukemia research (3 papers), Retinoids in leukemia and cellular processes (2 papers), Chronic Myeloid Leukemia Treatments (2 papers), Genomic variations and chromosomal abnormalities (2 papers), Lymphoma Diagnosis and Treatment (2 papers), Viral-associated cancers and disorders (2 papers) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Hematology (266 citations), Genetics (126 citations), Pathology and Forensic Medicine (132 citations), Public Health, Environmental and Occupational Health (152 citations) and Oncology (74 citations). Daniel Leboeuf has collaborated with scholars based in France, Canada and Switzerland. Frequent co-authors include Frédéric Davi, Elizabeth Anne Macintyre-Davi, Xavier Troussard, Katrina A. Rack, Justin Aubin, D. Canioni, Françoise Picard, Muhammad Taher, Nicole Brousse and Bruno Varet. Their work appears in journals such as Blood, British Journal of Haematology, Leukemia and PubMed.

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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