Bernard Drénou

5.4k citations
98 papers · 2.8k indexed · 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%
    • Acute Myeloid Leukemia Research

Papers in

    • Chronic Lymphocytic Leukemia Research 13
    • Hematopoietic Stem Cell Transplantation 8

Bernard Drénou

95 papers receiving 2.7k citations

Peers

Bernard Drénou
Comparison fields: 5 of 113
  • Immunology 1.2k
  • Hematology 428
  • Genetics 398
  • Oncology 797
  • Pathology and Forensic Medicine 421
Replace Didier Bouscary with:
Didier Bouscary France
Stephen M. Kelsey United Kingdom
Masaaki Higashihara Japan
Lothar Bergmann Germany
Stanley P. Balcerzak United States
Valérie Gouilleux‐Gruart France
M. Hart Netherlands
Jianmin Wang China
Maria A. Pantaleo Italy
R J Scheper Netherlands
Bernard Drénou relative to Didier Bouscary France Didier Bouscary's profile →
Citations per field
00.5×1.5×
Didier Bouscary · 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
#Work
1 20230
2 20215
3 201912
4 20157
5 20057
6 2004126
7 200150
8 200058
9 199931
10 199953
11 199938
12 199857
13 199811
14 199830
15 199868
16 199828
17 199714
18 19969
19 199639
20 199510

About Bernard Drénou

Bernard Drénou is a scholar working on Genetics, Hematology, Immunology, Pathology and Forensic Medicine and Oncology, having authored 98 papers that have together received 2.8k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (18 papers), Immune Cell Function and Interaction (17 papers), Reproductive System and Pregnancy (15 papers), Drug Transport and Resistance Mechanisms (14 papers), Chronic Lymphocytic Leukemia Research (13 papers), Immunotherapy and Immune Responses (10 papers), T-cell and B-cell Immunology (10 papers) and Hematopoietic Stem Cell Transplantation (8 papers). The work is most often cited by research in Immunology (1.2k citations), Hematology (428 citations), Genetics (398 citations), Oncology (797 citations) and Pathology and Forensic Medicine (421 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 Nuala Mooney. Their work appears in journals such as Blood, Human Immunology, British Journal of Haematology, Leukemia 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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