Victoria Cacheux

1.1k citations
19 papers · 102 · h-index 6

Impact in

    • Chronic Lymphocytic Leukemia Research
    • Myeloproliferative Neoplasms: Diagnosis and Treatment
    • Chronic Myeloid Leukemia Treatments
    • Acute Myeloid Leukemia Research

Papers in

Victoria Cacheux

18 papers receiving 102 citations

Peers

Victoria Cacheux
Comparison fields: 5 of 31
  • Genetics 41
  • Hematology 30
  • Internal Medicine 7
  • Speech and Hearing 13
  • Pathology and Forensic Medicine 24
Replace Charlotte Niemeyer with:
Charlotte Niemeyer Germany
Malgorzata McMasters United States
Milena Kohn France
Maria Luisa Pérez‐Saldívar Mexico
Hesham Eissa United States
Maja Bulatović Netherlands
C. Cox United States
Daniele Armiento Italy
Patricia Valverde United States
Maurizio Cavallari Italy
Victoria Cacheux relative to Charlotte Niemeyer Germany Charlotte Niemeyer's profile →
Citations per field
00.5×4.8×
Charlotte Niemeyer · 1×
Citations per year

Countries citing papers authored by Victoria Cacheux

Since Specialization
Citations

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

Fields of papers citing papers by Victoria Cacheux

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 202031
2 201015
3 201015
4 20199
5 20155
6 20155
7 20164
8 20203
9 20222
10 20242
11 20192
12 20232
13 20192
14 20221
15 20231
16 20191
17 20081
18 20191
19 20240

About Victoria Cacheux

Victoria Cacheux is a scholar working on Genetics, Public Health, Environmental and Occupational Health, Pathology and Forensic Medicine, Hematology and Pediatrics, Perinatology and Child Health, having authored 19 papers that have together received 102 indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (8 papers), Lymphoma Diagnosis and Treatment (7 papers), Chronic Myeloid Leukemia Treatments (5 papers), Chronic Lymphocytic Leukemia Research (5 papers), Acute Myeloid Leukemia Research (4 papers), CAR-T cell therapy research (4 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers) and Pharmaceutical studies and practices (3 papers). The work is most often cited by research in Genetics (41 citations), Hematology (30 citations), Internal Medicine (7 citations), Speech and Hearing (13 citations) and Pathology and Forensic Medicine (24 citations). Victoria Cacheux has collaborated with scholars based in France, Belgium and Switzerland. Frequent co-authors include Marie Balsat, Emmanuelle Tavernier, Sylvain Chantepie, Jean‐Pierre Marolleau, Véronique Lhéritier, Denis Caillot, Jamilé Frayfer, Patrice Chevallier, Hervé Dombret and Thomas Pabst. Their work appears in journals such as Blood, Haematologica, Journal of Clinical Oncology, Hematological Oncology and Bone Marrow Transplantation.

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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