MJ Pébusque

973 citations
19 papers · 810 · h-index 12

Impact in

  • Hematology top 2%
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments
    • Hematopoietic Stem Cell Transplantation
  • Genetics top 5%
    • Chronic Lymphocytic Leukemia Research

Papers in

    • Acute Myeloid Leukemia Research 8
    • Hematopoietic Stem Cell Transplantation 4
    • Chronic Myeloid Leukemia Treatments 2
    • Epigenetics and DNA Methylation 2
    • Retinoids in leukemia and cellular processes 2

MJ Pébusque

18 papers receiving 754 citations

Peers

MJ Pébusque
Comparison fields: 5 of 61
  • Hematology 534
  • Genetics 205
  • Immunology 241
  • Oncology 127
  • Molecular Biology 243
Replace Elisabeth Paietta with:
Elisabeth Paietta United States
McCulloch Ea Canada
August H. Westra Netherlands
Marina Lafage France
J. W. G. Janssen Germany
Bühring Hj Germany
Saul J. Sharkis United States
Luisella Luchetti Italy
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Citations per field
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Citations per year

Countries citing papers authored by MJ Pébusque

Since Specialization
Citations

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

Fields of papers citing papers by MJ Pébusque

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 1993273
2 1992186
3 1988100
4 198955
5 198947
6 198833
7 199327
8 198815
9
TNF alpha acts in synergy with GM-CSF to induce proliferation of acute myeloid leukemia cells by up-regulating the GM-CSF receptor and GM-CSF gene expression.
199313
10 199412
11 199212
12 200011
13 198910
14 19948
15 19944
16 19882
17 19941
18 19791
19 19890

About MJ Pébusque

MJ Pébusque is a scholar working on Hematology, Molecular Biology, Immunology, Genetics and Public Health, Environmental and Occupational Health, having authored 19 papers that have together received 810 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (8 papers), Immune Cell Function and Interaction (5 papers), Hematopoietic Stem Cell Transplantation (4 papers), Chronic Lymphocytic Leukemia Research (3 papers), Acute Lymphoblastic Leukemia research (2 papers), Epigenetics and DNA Methylation (2 papers), Retinoids in leukemia and cellular processes (2 papers) and Chronic Myeloid Leukemia Treatments (2 papers). The work is most often cited by research in Hematology (534 citations), Genetics (205 citations), Immunology (241 citations), Oncology (127 citations) and Molecular Biology (243 citations). MJ Pébusque has collaborated with scholars based in France, Poland and United Kingdom. Frequent co-authors include Daniel Birnbaum, Olivier Rosnet, Sylvie Marchetto, F Birg, P Mannoni, Claudine Schiff, Yves Toiron, Cécile Tonnelle, Antonio Tabilio and Florence Bardin. Their work appears in journals such as Blood, Oncology Reports, International Journal of Oncology, Cellular and Molecular Life Sciences and Cytogenetic and Genome 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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