Sonia Cellot

1.4k citations
44 papers · 787 · h-index 14

Impact in

  • Hematology top 5%
    • Acute Myeloid Leukemia Research
    • Hematopoietic Stem Cell Transplantation
    • Neutropenia and Cancer Infections

Papers in

    • Acute Myeloid Leukemia Research 15
    • Hematopoietic Stem Cell Transplantation 10
    • Protein Degradation and Inhibitors 6
    • Epigenetics and DNA Methylation 5
    • Pluripotent Stem Cells Research 4

Sonia Cellot

38 papers receiving 782 citations

Peers

Sonia Cellot
Comparison fields: 5 of 83
  • Hematology 276
  • Oncology 184
  • Molecular Biology 410
  • Immunology 125
  • Genetics 60
Replace Hiroaki Ohnishi with:
Hiroaki Ohnishi Japan
Woo Sung Min South Korea
Yasunori Nakagawa Japan
Alexandros Spyridonidis Greece
Ilona Seferyńska Poland
Jean‐Baptiste Micol France
Maria Papaioannou Greece
S Okamura Japan
Gloria Yang United States
Ana Alfonso Piérola Spain
Sonia Cellot relative to Hiroaki Ohnishi Japan Hiroaki Ohnishi's profile →
Citations per field
00.5×2.5×
Hiroaki Ohnishi · 1×
Citations per year

Countries citing papers authored by Sonia Cellot

Since Specialization
Citations

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

Fields of papers citing papers by Sonia Cellot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010109
2 2009101
3 201289
4 201166
5 201264
6 201352
7 201332
8 201329
9 201328
10 201922
11 200722
12 201619
13 201318
14 201617
15 201812
16 202012
17 201910
18 201810
19 20059
20 20137

About Sonia Cellot

Sonia Cellot is a scholar working on Hematology, Molecular Biology, Oncology, Public Health, Environmental and Occupational Health and Epidemiology, having authored 44 papers that have together received 787 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (15 papers), Acute Lymphoblastic Leukemia research (10 papers), Hematopoietic Stem Cell Transplantation (10 papers), Neutropenia and Cancer Infections (9 papers), Protein Degradation and Inhibitors (6 papers), Epigenetics and DNA Methylation (5 papers), Blood disorders and treatments (4 papers) and Pluripotent Stem Cells Research (4 papers). The work is most often cited by research in Hematology (276 citations), Oncology (184 citations), Molecular Biology (410 citations), Immunology (125 citations) and Genetics (60 citations). Sonia Cellot has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Guy Sauvageau, Nadine Mayotte, Stephen B. Ting, Kristin J. Hope, Jalila Chagraoui, Éric Deneault, Martin Sauvageau, Norman N. Iscove, Tara MacRae and Brian T. Wilhelm. Their work appears in journals such as Blood, Experimental Hematology, PLoS ONE, Haematologica and JCO Precision 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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