Valérie Ugo

7.6k citations
60 papers · 4.7k indexed · 2 hit papers · h-index 18
  • Genetics top 0.1%
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 38
    • Chronic Lymphocytic Leukemia Research 5
  • Hematology top 0.2%
    • Acute Myeloid Leukemia Research 18
    • Chronic Myeloid Leukemia Treatments 17
    • Multiple Myeloma Research and Treatments 5
  • Rheumatology top 0.5%
    • Eosinophilic Disorders and Syndromes 20
  • Immunology top 5%
    • Kruppel-like factors research 14
    • Lymphoma Diagnosis and Treatment 6

Valérie Ugo

57 papers receiving 4.5k citations

Hit Papers

A unique clonal JAK2 mutation leading to constitutive sig...2.5k200220262010201850010001.5k2.0k2.5k

Peers

Valérie Ugo
Comparison fields: 5 of 107
  • Genetics 3.2k
  • Hematology 2.6k
  • Rheumatology 1.2k
  • Immunology 654
  • Molecular Biology 2.1k
Replace E. Joanna Baxter with:
E. Joanna Baxter United Kingdom
Tamás Masszi Hungary
H. Kantarjian United States
Ramón V. Tiu United States
Michael J. Mauro United States
Susan O’Brien United States
Andrzej Hellmann Poland
Debra Resta United States
Miloslav Beran United States
Sayuri Ohno-Jones United States
Valérie Ugo relative to E. Joanna Baxter United Kingdom E. Joanna Baxter's profile →
Citations per field
00.5×1.5×
E. Joanna Baxter · 1×
Citations per year

Countries citing papers authored by Valérie Ugo

Since Specialization
Citations

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

Fields of papers citing papers by Valérie Ugo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20233
3 202125
4 20211
5 20195
6 20176
7 201611
8 20166
9 20163
10 2015109
11 20151
12 200829
13 2007112
14 200616
15 20058
16 200590
17 2004127
18
Pure Red-Cell Aplasia and Antierythropoietin Antibodies in Patients Treated with Recombinant Erythropoietinbreakdown →
2002843
19 20013
20 199932

About Valérie Ugo

Valérie Ugo is a scholar working on Genetics, Hematology and Rheumatology, having authored 60 papers that have together received 4.7k indexed citations. Recurring topics across this work include Myeloproliferative Neoplasms: Diagnosis and Treatment (38 papers), Eosinophilic Disorders and Syndromes (20 papers), Acute Myeloid Leukemia Research (18 papers), Chronic Myeloid Leukemia Treatments (17 papers), Kruppel-like factors research (14 papers), Lymphoma Diagnosis and Treatment (6 papers), Chronic Lymphocytic Leukemia Research (5 papers) and Multiple Myeloma Research and Treatments (5 papers). The work is most often cited by research in Genetics (3.2k citations), Hematology (2.6k citations) and Rheumatology (1.2k citations). Valérie Ugo has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Nicole Casadevall, William Vainchenker, Chloé James, Stefan N. Constantinescu, François Delhommeau, Loïc Garçon, Annelise Bennaceur‐Griscelli, Catherine Lacout, Jean‐Pierre Le Couedic and Jean‐Luc Villeval. Their work appears in journals such as Blood, Annals of Hematology, Leukemia, Haematologica and Genes Chromosomes and Cancer.

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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