Virginie Éclache

3.6k citations
68 papers · 1.2k · h-index 19

Impact in

  • Hematology top 1%
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments
  • Genetics top 2%
    • Myeloproliferative Neoplasms: Diagnosis and Treatment
    • Chronic Lymphocytic Leukemia Research

Papers in

    • Acute Myeloid Leukemia Research 30
    • Chronic Myeloid Leukemia Treatments 13
    • Multiple Myeloma Research and Treatments 7
    • Chronic Lymphocytic Leukemia Research 26
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 9

Virginie Éclache

60 papers receiving 1.2k citations

Peers

Virginie Éclache
Comparison fields: 5 of 81
  • Hematology 673
  • Genetics 446
  • Complementary and Manual Therapy 29
  • Rheumatology 159
  • Immunology 208
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Citations per field
00.5×7.3×
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Citations per year

Countries citing papers authored by Virginie Éclache

Since Specialization
Citations

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

Fields of papers citing papers by Virginie Éclache

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014125
2 2010109
3 2002108
4 2003106
5 201256
6 201250
7 200547
8 201144
9 201343
10 200943
11 201134
12 200833
13 201030
14 200830
15 201029
16 201128
17 201025
18 201620
19 200718
20 200518

About Virginie Éclache

Virginie Éclache is a scholar working on Hematology, Genetics, Molecular Biology, Pathology and Forensic Medicine and Immunology, having authored 68 papers that have together received 1.2k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (30 papers), Chronic Lymphocytic Leukemia Research (26 papers), Chronic Myeloid Leukemia Treatments (13 papers), Lymphoma Diagnosis and Treatment (10 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (9 papers), Acute Lymphoblastic Leukemia research (8 papers), Immunodeficiency and Autoimmune Disorders (8 papers) and Multiple Myeloma Research and Treatments (7 papers). The work is most often cited by research in Hematology (673 citations), Genetics (446 citations), Complementary and Manual Therapy (29 citations), Rheumatology (159 citations) and Immunology (208 citations). Virginie Éclache has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Pierre Fenaux, Claude Preudhomme, Julien Mozziconacci, Lionel Adès, Marina Lafage, Christophe Roumier, M Imbert, Aline Renneville, Martine Raphaël and Hugues de Thé. Their work appears in journals such as Blood, Leukemia Research, Genes Chromosomes and Cancer, American Journal of Hematology and Leukemia.

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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