Bernard Drénou

5.5k citations
99 papers · 2.8k · h-index 30

Impact in

  • Immunology top 2%
    • Reproductive System and Pregnancy
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology
  • Hematology top 2%

Papers in

    • Immune Cell Function and Interaction 15
    • Reproductive System and Pregnancy 14
    • Immunotherapy and Immune Responses 9
    • T-cell and B-cell Immunology 9
    • Drug Transport and Resistance Mechanisms 14

Bernard Drénou

95 papers receiving 2.7k citations

Peers

Bernard Drénou
Comparison fields: 5 of 111
  • Immunology 1.1k
  • Hematology 377
  • Genetics 340
  • Oncology 691
  • Pathology and Forensic Medicine 383
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Bernard Drénou relative to Yasunobu Abe Japan Yasunobu Abe's profile →
Citations per field
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Yasunobu Abe · 1×
Citations per year

Countries citing papers authored by Bernard Drénou

Since Specialization
Citations

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

Fields of papers citing papers by Bernard Drénou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007284
2 2004128
3 1997127
4 2001118
5 2006111
6 1999103
7 199495
8 199868
9 200668
10 200366
11 200362
12 199762
13 200058
14 199857
15 200454
16 199953
17
Multi-drug resistance (MDR) activity in acute leukemia determined by rhodamine 123 efflux assay.
199553
18 200150
19 200348
20 200247

About Bernard Drénou

Bernard Drénou is a scholar working on Immunology, Oncology, Hematology, Genetics and Molecular Biology, having authored 99 papers that have together received 2.8k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (16 papers), Immune Cell Function and Interaction (15 papers), Reproductive System and Pregnancy (14 papers), Drug Transport and Resistance Mechanisms (14 papers), Chronic Lymphocytic Leukemia Research (12 papers), Immunotherapy and Immune Responses (9 papers), T-cell and B-cell Immunology (9 papers) and Hematopoietic Stem Cell Transplantation (8 papers). The work is most often cited by research in Immunology (1.1k citations), Hematology (377 citations), Genetics (340 citations), Oncology (691 citations) and Pathology and Forensic Medicine (383 citations). Bernard Drénou has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include R Fauchet, Laurence Amiot, Olivier Fardel, Thierry Lamy, Myriam Onno, Marc Bernard, Céline Pangault, Valérie Guilloux, Dominique Charron and Sylvie Caulet-Maugendre. Their work appears in journals such as Blood, Human Immunology, British Journal of Haematology, International Journal of Molecular Sciences and International Journal of Oncology.

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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