Victoria Cacheux

1.0k citations
19 papers · 97 · 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

17 papers receiving 97 citations

Peers

Victoria Cacheux
Comparison fields: 5 of 33
  • Genetics 40
  • Hematology 35
  • Internal Medicine 9
  • Speech and Hearing 14
  • Pathology and Forensic Medicine 27
Replace Malgorzata McMasters with:
Malgorzata McMasters United States
Andrew Fyfe United Kingdom
Madhuri Vusirikala United States
Milena Kohn France
Thomas Lipp Germany
Hesham Eissa United States
Canan Albayrak Türkiye
Dalia Mahmoud United States
Daniele Armiento Italy
Ibrahim Ghemlas Saudi Arabia
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Citations per field
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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 202030
2 201015
3 201014
4 20199
5 20155
6 20155
7 20164
8 20222
9 20192
10 20232
11 20192
12 20202
13 20221
14 20241
15 20191
16 20081
17 20191
18 20240
19 20230

About Victoria Cacheux

Victoria Cacheux is a scholar working on Genetics, Pathology and Forensic Medicine, Public Health, Environmental and Occupational Health, Hematology and Oncology, having authored 19 papers that have together received 97 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (8 papers), Acute Lymphoblastic Leukemia research (8 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 (40 citations), Hematology (35 citations), Internal Medicine (9 citations), Speech and Hearing (14 citations) and Pathology and Forensic Medicine (27 citations). Victoria Cacheux has collaborated with scholars based in France, Belgium and United States. Frequent co-authors include Emmanuelle Tavernier, Marie Balsat, Yves Chalandon, Véronique Lhéritier, Thomas Pabst, Marie Robin, Jérôme Cornillon, Jamilé Frayfer, Denis Caillot and Jean‐Pierre Marolleau. Their work appears in journals such as Blood, Hematological Oncology, Journal of Clinical Oncology, Haematologica and British Journal of Haematology.

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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