Benoît Beitz

1.1k citations
11 papers · 782 · h-index 8

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • interferon and immune responses
    • Immune Response and Inflammation
    • Immunotherapy and Immune Responses

Papers in

    • T-cell and B-cell Immunology 2
    • Immune Cell Function and Interaction 2
    • Gut microbiota and health 2
    • Single-cell and spatial transcriptomics 2
    • Advanced Biosensing Techniques and Applications 1

Benoît Beitz

10 papers receiving 772 citations

Peers

Benoît Beitz
Comparison fields: 5 of 80
  • Immunology 419
  • Infectious Diseases 105
  • Epidemiology 140
  • Biological Psychiatry 10
  • Rheumatology 47
Replace Katherine Miles with:
Katherine Miles United Kingdom
Andréa Luciana Soares da Silva Brazil
Sébastien Lemoine France
Sambasivan Venkatasubramanian United States
Esther Reuss Germany
Peter J. Morrison Germany
Jing Yao Leong Singapore
Martine Loubeau United States
Yoshiaki Ohmura Japan
Sandro Félix Perazzio Brazil
Benoît Beitz relative to Katherine Miles United Kingdom Katherine Miles's profile →
Citations per field
00.5×1.5×2×2.5×
Katherine Miles · 1×
Citations per year

Countries citing papers authored by Benoît Beitz

Since Specialization
Citations

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

Fields of papers citing papers by Benoît Beitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2018216
2 2017185
3 2014184
4 2017113
5 201536
6 201520
7 202016
8 20239
9 20252
10 20261
11 20250

About Benoît Beitz

Benoît Beitz is a scholar working on Immunology, Molecular Biology, Clinical Biochemistry, Epidemiology and Nutrition and Dietetics, having authored 11 papers that have together received 782 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (2 papers), Gut microbiota and health (2 papers), Single-cell and spatial transcriptomics (2 papers), Immune Cell Function and Interaction (2 papers), Microfluidic and Bio-sensing Technologies (1 paper), Congenital Diaphragmatic Hernia Studies (1 paper), Advanced Biosensing Techniques and Applications (1 paper) and Respiratory viral infections research (1 paper). The work is most often cited by research in Immunology (419 citations), Infectious Diseases (105 citations), Epidemiology (140 citations), Biological Psychiatry (10 citations) and Rheumatology (47 citations). Benoît Beitz has collaborated with scholars based in France, Sweden and Belgium. Frequent co-authors include Matthew L. Albert, Alejandra Urrutia, Lluís Quintana‐Murci, Valentina Libri, Vincent Rouilly, Darragh Duffy, Lars Rogge, Milena Hasan, James P. Di Santo and Estelle Mottez. Their work appears in journals such as Clinical Immunology, Immunity, Nature Immunology, Advanced Healthcare Materials and PLoS neglected tropical diseases.

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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