J. Chabrol

9 total papers · 949 total citations
5 papers, 760 citations indexed

About

J. Chabrol is a scholar working on Hematology, Immunology and Genetics. According to data from OpenAlex, J. Chabrol has authored 5 papers receiving a total of 760 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Hematology, 3 papers in Immunology and 2 papers in Genetics. Recurrent topics in J. Chabrol's work include Chronic Myeloid Leukemia Treatments (2 papers), Chronic Lymphocytic Leukemia Research (2 papers) and T-cell and B-cell Immunology (2 papers). J. Chabrol is often cited by papers focused on Chronic Myeloid Leukemia Treatments (2 papers), Chronic Lymphocytic Leukemia Research (2 papers) and T-cell and B-cell Immunology (2 papers). J. Chabrol collaborates with scholars based in France, United Kingdom and United States. J. Chabrol's co-authors include Beate Schultheis, Michael W. Deininger, Junia V. Melo, John M. Goldman, Josy Reiffers, François Xavier Mahon, Josy Reiffers, Babette B. Weksler, Jean‐François Moreau and Patrice Dumain and has published in prestigious journals such as Blood and Experimental Cell Research.

In The Last Decade

J. Chabrol

5 papers receiving 742 citations

Hit Papers

Selection and characteriz... 2000 2026 2008 2017 2000 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
J. Chabrol 607 434 302 182 137 5 760
G Q Daley 512 0.8× 344 0.8× 165 0.5× 194 1.1× 111 0.8× 5 640
A. Corbin 659 1.1× 524 1.2× 404 1.3× 113 0.6× 108 0.8× 8 816
Marianne Rosamilia 481 0.8× 308 0.7× 215 0.7× 162 0.9× 119 0.9× 7 682
Teresa Davies 482 0.8× 340 0.8× 149 0.5× 210 1.2× 90 0.7× 9 719
Annamaria Galietta 441 0.7× 309 0.7× 172 0.6× 434 2.4× 143 1.0× 8 836
AM Gewirtz 448 0.7× 242 0.6× 89 0.3× 278 1.5× 115 0.8× 7 663
Jarrad M. Goyne 535 0.9× 433 1.0× 249 0.8× 81 0.4× 120 0.9× 10 640
Н Д Хорошко 767 1.3× 651 1.5× 512 1.7× 76 0.4× 126 0.9× 13 883
A Weißer 551 0.9× 395 0.9× 286 0.9× 246 1.4× 69 0.5× 12 779
HM Kantarjian 547 0.9× 446 1.0× 163 0.5× 162 0.9× 146 1.1× 12 841

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-authorship network of co-authors of J. Chabrol

This figure shows the co-authorship network connecting the top 25 collaborators of J. Chabrol. A scholar is included among the top collaborators of J. Chabrol 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 J. Chabrol. J. Chabrol is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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