Benoît Chapellier

591 citations
9 papers · 403 · h-index 8

Impact in

  • Dermatology top 10%
    • Skin Protection and Aging
    • Retinoids in leukemia and cellular processes
    • CRISPR and Genetic Engineering

Papers in

    • Retinoids in leukemia and cellular processes 5
    • Peroxisome Proliferator-Activated Receptors 2
    • CRISPR and Genetic Engineering 2
    • Retinal Development and Disorders 2
    • Virus-based gene therapy research 1
    • Animal Genetics and Reproduction 1

Benoît Chapellier

9 papers receiving 388 citations

Peers

Benoît Chapellier
Comparison fields: 5 of 41
  • Dermatology 44
  • Molecular Biology 206
  • Urology 16
  • Immunology 42
  • Genetics 61
Replace Jennifer Ferris with:
Jennifer Ferris United States
Tokihiko Shimada Japan
Anna Sanecka-Duin Netherlands
Hejab Al‐Ajmi Kuwait
Angelo Piccirillo Italy
José Luis Cascallana Spain
Khalid Ali Al Hawsawi Saudi Arabia
Ming-Feng Chiang Taiwan
Maurizio Romagnuolo Italy
Nicole Jibard France
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Citations per field
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Citations per year

Countries citing papers authored by Benoît Chapellier

Since Specialization
Citations

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

Fields of papers citing papers by Benoît Chapellier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2002123
2 200272
3 201165
4 200251
5 200332
6 200227
7 200817
8 202210
9 20156

About Benoît Chapellier

Benoît Chapellier is a scholar working on Molecular Biology, Genetics, Ophthalmology, Epidemiology and Infectious Diseases, having authored 9 papers that have together received 403 indexed citations. Recurring topics across this work include Retinoids in leukemia and cellular processes (5 papers), Peroxisome Proliferator-Activated Receptors (2 papers), CRISPR and Genetic Engineering (2 papers), Retinal Development and Disorders (2 papers), Herpesvirus Infections and Treatments (2 papers), Polyomavirus and related diseases (1 paper), Virus-based gene therapy research (1 paper) and Animal Genetics and Reproduction (1 paper). The work is most often cited by research in Dermatology (44 citations), Molecular Biology (206 citations), Urology (16 citations), Immunology (42 citations) and Genetics (61 citations). Benoît Chapellier has collaborated with scholars based in France and Japan. Frequent co-authors include Pierre Chambon, Norbert B. Ghyselinck, Manuel P. Mark, Jean-Marie Garnier, Cécile Calleja, Daniel METZGER, Andrée Dierich, Mei Li, Marianne LeMeur and Nadia Messaddeq. Their work appears in journals such as genesis, Molecular Therapy — Nucleic Acids, Methods in enzymology on CD-ROM/Methods in enzymology, The EMBO Journal and Virology.

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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