Frédéric Davi

474 citations
6 papers · 180 · h-index 4

Impact in

  • Hematology top 10%
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments
    • Chronic Lymphocytic Leukemia Research

Papers in

Frédéric Davi

5 papers receiving 177 citations

Peers

Frédéric Davi
Comparison fields: 5 of 24
  • Hematology 88
  • Genetics 39
  • Public Health, Environmental and Occupational Health 102
  • Pathology and Forensic Medicine 59
  • Immunology 51
Replace Marja J. Pongers-Willemse with:
Marja J. Pongers-Willemse Netherlands
Rahul Nahar United States
Phyllis Warkentin United States
Carmen Sanzo Spain
Vincent Leymarie France
Guillermo Garcia-Manero United States
Marta Libura Poland
Felix Seyfried Germany
Maria Khouri United States
Viviana Guadagnuolo Italy
Frédéric Davi relative to Marja J. Pongers-Willemse Netherlands Marja J. Pongers-Willemse's profile →
Citations per field
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Marja J. Pongers-Willemse · 1×
Citations per year

Countries citing papers authored by Frédéric Davi

Since Specialization
Citations

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

Fields of papers citing papers by Frédéric Davi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1 2003102
2 200051
3 200621
4 20024
5 20002
6 20250

About Frédéric Davi

Frédéric Davi is a scholar working on Hematology, Public Health, Environmental and Occupational Health, Genetics, Pathology and Forensic Medicine and Molecular Biology, having authored 6 papers that have together received 180 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (4 papers), Chronic Myeloid Leukemia Treatments (3 papers), Acute Lymphoblastic Leukemia research (3 papers), Lymphoma Diagnosis and Treatment (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), CAR-T cell therapy research (1 paper), Immunodeficiency and Autoimmune Disorders (1 paper) and Advanced biosensing and bioanalysis techniques (1 paper). The work is most often cited by research in Hematology (88 citations), Genetics (39 citations), Public Health, Environmental and Occupational Health (102 citations), Pathology and Forensic Medicine (59 citations) and Immunology (51 citations). Frédéric Davi has collaborated with scholars based in France. Frequent co-authors include Elizabeth Macintyre, Éric Delabesse, Kheïra Beldjord, Pierre Quartier, Agnès Buzyn, Françoise Valensi, Vahid Asnafi, Judith Landman‐Parker, Emmanuelle Boulanger and Corinne Millien. Their work appears in journals such as Blood, Journal of Cellular and Molecular Medicine and Cancer Genetics and Cytogenetics.

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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