J. Chabrol

951 citations
5 papers · 783 · 1 hit paper · h-index 5

Impact in

  • Hematology top 1%
    • Chronic Myeloid Leukemia Treatments
    • Acute Myeloid Leukemia Research
  • Genetics top 2%
    • Chronic Lymphocytic Leukemia Research

Papers in

    • Chronic Myeloid Leukemia Treatments 2
    • Platelet Disorders and Treatments 2
    • T-cell and B-cell Immunology 2
    • Immune Cell Function and Interaction 2
    • Phagocytosis and Immune Regulation 1

J. Chabrol

5 papers receiving 757 citations

J. Chabrol's Hit Papers

Selection and characterization of BCR-ABL positive cell lines with differential sensitivity to the tyrosine kinase inhibitor STI571: diverse mechanisms of resistance 2000 · 634 citations
6340+8+17Years since publication200400600

Peers

J. Chabrol
Comparison fields: 5 of 53
  • Hematology 597
  • Genetics 391
  • Rheumatology 267
  • Oncology 125
  • Public Health, Environmental and Occupational Health 88
Replace Claudine Chollet with:
Claudine Chollet France
M Beran United States
Sarah Moore Australia
Laura N Eadie Australia
Franck E. Nicolini France
Sabrina Colarossi Italy
Gökben Baskaynak Germany
Michele Cedrone Italy
Andrew Kuykendall United States
Maël Heiblig France
J. Chabrol relative to Claudine Chollet France Claudine Chollet's profile →
Citations per field
00.5×1.5×2×2.4×
Claudine Chollet · 1×
Citations per year

Countries citing papers authored by J. Chabrol

Since Specialization
Citations

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

Fields of papers citing papers by J. Chabrol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside J. Chabrol, 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 J. Chabrol Line = papers co-authored together J. Chabrol links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown
#Work
1
Selection and characterization of BCR-ABL positive cell lines with differential sensitivity to the tyrosine kinase inhibitor STI571: diverse mechanisms of resistance
Hit paper breakdown →
2000634
2 200054
3 199849
4 200041
5 20005

About J. Chabrol

J. Chabrol is a scholar working on Hematology, Immunology, Genetics, Molecular Biology and Ecology, Evolution, Behavior and Systematics, having authored 5 papers that have together received 783 indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), T-cell and B-cell Immunology (2 papers), Immune Cell Function and Interaction (2 papers), Platelet Disorders and Treatments (2 papers), Acute Lymphoblastic Leukemia research (1 paper), Phagocytosis and Immune Regulation (1 paper) and Cell death mechanisms and regulation (1 paper). The work is most often cited by research in Hematology (597 citations), Genetics (391 citations), Rheumatology (267 citations), Oncology (125 citations) and Public Health, Environmental and Occupational Health (88 citations). J. Chabrol has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include John M. Goldman, Josy Reiffers, François Xavier Mahon, Beate Schultheis, Michael W. Deininger, Junia V. Melo, Josy Reiffers, Françis Belloc, Ph. Bernard and Pierre Charbord. Their work appears in journals such as Blood and Experimental Cell 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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