Bénédict Fallet

415 citations
11 papers · 320 · h-index 7

Impact in

  • Immunology top 10%
    • T-cell and B-cell Immunology
    • interferon and immune responses
    • Immunotherapy and Immune Responses
    • Immune responses and vaccinations

Papers in

    • T-cell and B-cell Immunology 5
    • Immune cells in cancer 1
    • Immunotherapy and Immune Responses 1
    • COVID-19 Clinical Research Studies 1
    • Viral Infections and Vectors 1

Bénédict Fallet

11 papers receiving 314 citations

Peers

Bénédict Fallet
Comparison fields: 5 of 44
  • Immunology 171
  • Virology 16
  • Infectious Diseases 58
  • Dermatology 12
  • Ophthalmology 10
Replace Susanne Schondelmaier with:
Susanne Schondelmaier Germany
Michael N. T. Souter Australia
Lauren M. Lilly United States
Erwan Ventre France
Rajesh Lamichhane New Zealand
Sven Hendrik Hagen Germany
Matthias von Kietzell Switzerland
Chelsea L. Edwards Australia
Jessica C. Lee United States
Valerie Oberhardt Germany
Bénédict Fallet relative to Susanne Schondelmaier Germany Susanne Schondelmaier's profile →
Citations per field
00.5×10×20×26.5×
Susanne Schondelmaier · 1×
Citations per year

Countries citing papers authored by Bénédict Fallet

Since Specialization
Citations

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

Fields of papers citing papers by Bénédict Fallet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 201694
2 201693
3 202035
4 202033
5 202124
6 201714
7 20217
8 20217
9 20205
10 20225
11 20233

About Bénédict Fallet

Bénédict Fallet is a scholar working on Immunology, Infectious Diseases, Ophthalmology, Pathology and Forensic Medicine and Radiology, Nuclear Medicine and Imaging, having authored 11 papers that have together received 320 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (5 papers), Systemic Sclerosis and Related Diseases (1 paper), COVID-19 Clinical Research Studies (1 paper), Immune cells in cancer (1 paper), Viral Infections and Vectors (1 paper), Virus-based gene therapy research (1 paper), Monoclonal and Polyclonal Antibodies Research (1 paper) and Immunotherapy and Immune Responses (1 paper). The work is most often cited by research in Immunology (171 citations), Virology (16 citations), Infectious Diseases (58 citations), Dermatology (12 citations) and Ophthalmology (10 citations). Bénédict Fallet has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Ulrich Andreas Walker, Kevin Larimore, Diego Kyburz, Doron Merkler, Daniel D. Pinschewer, Philip D. Greenberg, Karen Cornille, Mélissa M. Remy, Mario Kreutzfeldt and Gert Zimmer. Their work appears in journals such as Cell Reports, Science Immunology, Cell Host & Microbe, Lara D. Veeken and Arthritis & Rheumatology.

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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