F. Boulay

1.5k citations
15 papers · 1.2k · h-index 12

Impact in

  • Immunology top 5%
    • Immune Response and Inflammation
    • Complement system in diseases
    • Antimicrobial Peptides and Activities

Papers in

    • S100 Proteins and Annexins 5
    • Machine Learning in Bioinformatics 2
    • Receptor Mechanisms and Signaling 2
    • Immune Response and Inflammation 3
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms 2

F. Boulay

15 papers receiving 1.2k citations

Peers

F. Boulay
Comparison fields: 5 of 87
  • Immunology 625
  • Microbiology 151
  • Immunology and Allergy 124
  • Physiology 52
  • Molecular Biology 735
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Z G Oades United States
Anthony J. Jurewicz United States
J R Parnes United States
Joseph J. Lucas United States
A L DeFranco United States
Dina G. Fischer Israel
Ji Zhao United States
H.‐G. Thiele Germany
Toshihiko Kobayashi Japan
Gary K. Koski United States
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Citations per field
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Citations per year

Countries citing papers authored by F. Boulay

Since Specialization
Citations

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

Fields of papers citing papers by F. Boulay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 1990276
2 2001179
3 1991177
4 1994119
5 1993110
6 198889
7 199375
8 199464
9 200246
10 198740
11 199538
12 200512
13 199210
14 19928
15 19796

About F. Boulay

F. Boulay is a scholar working on Molecular Biology, Immunology, Oncology, Microbiology and Cellular and Molecular Neuroscience, having authored 15 papers that have together received 1.2k indexed citations. Recurring topics across this work include S100 Proteins and Annexins (5 papers), Antimicrobial Peptides and Activities (4 papers), Immune Response and Inflammation (3 papers), Peptidase Inhibition and Analysis (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), Machine Learning in Bioinformatics (2 papers), Receptor Mechanisms and Signaling (2 papers) and Influenza Virus Research Studies (2 papers). The work is most often cited by research in Immunology (625 citations), Microbiology (151 citations), Immunology and Allergy (124 citations), Physiology (52 citations) and Molecular Biology (735 citations). F. Boulay has collaborated with scholars based in France, United States and Sweden. Frequent co-authors include Marianne Tardif, Laurence Brouchon, Pierre V. Vignais, Lionel Mery, Cláes Dahlgren, Marie‐Josèphe Rabiet, Thierry Christophe, Anna Karlsson, Laurence Méry and Robert W. Doms. Their work appears in journals such as Journal of Biological Chemistry, Biochemical Journal, The Journal of Immunology, Biochemistry and Journal of Photochemistry and Photobiology B Biology.

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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