Jacques d’Alayer

1.8k citations
34 papers · 1.5k · h-index 17

Impact in

Papers in

    • Cellular transport and secretion 5
    • Endoplasmic Reticulum Stress and Disease 3
    • Glycosylation and Glycoproteins Research 8
    • RNA and protein synthesis mechanisms 5
    • Mitochondrial Function and Pathology 4
    • Lipid Membrane Structure and Behavior 2

Jacques d’Alayer

33 papers receiving 1.4k citations

Peers

Jacques d’Alayer
Comparison fields: 5 of 96
  • Virology 106
  • Hepatology 155
  • Infectious Diseases 206
  • Endocrinology 56
  • Molecular Biology 725
Replace Yoshio Yamakawa with:
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Arnaud Gruez France
Formijn J. van Hemert Netherlands
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Rachel Santarella‐Mellwig Germany
Lena Edelman France
Will Bloch United States
C. Levenson United States
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Jacques d’Alayer relative to Yoshio Yamakawa Japan Yoshio Yamakawa's profile →
Citations per field
00.5×1.5×
Yoshio Yamakawa · 1×
Citations per year

Countries citing papers authored by Jacques d’Alayer

Since Specialization
Citations

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

Fields of papers citing papers by Jacques d’Alayer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jacques d’Alayer. 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 Jacques d’Alayer. The network helps show where Jacques d’Alayer may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011251
2 2010203
3 1999170
4 2005118
5 2005109
6 200194
7 200773
8 197864
9 199547
10 200443
11 200741
12 198535
13 197829
14 198826
15 200225
16 198919
17 201118
18 201016
19 198015
20 198315

About Jacques d’Alayer

Jacques d’Alayer is a scholar working on Cell Biology, Molecular Biology, Microbiology, Genetics and Immunology, having authored 34 papers that have together received 1.5k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (8 papers), RNA and protein synthesis mechanisms (5 papers), Cellular transport and secretion (5 papers), Bacterial Genetics and Biotechnology (4 papers), Mitochondrial Function and Pathology (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Lipid Membrane Structure and Behavior (2 papers). The work is most often cited by research in Virology (106 citations), Hepatology (155 citations), Infectious Diseases (206 citations), Endocrinology (56 citations) and Molecular Biology (725 citations). Jacques d’Alayer has collaborated with scholars based in France, United States and Hungary. Frequent co-authors include Ariane Monneron, Michel Laloue, Nicole Houba‐Hérin, Claude Pethe, Thomas Krey, Felix Augusto Rey, Fasséli Coulibaly, Éric Guittet, Françoise Mégret and Irina Gutsche. Their work appears in journals such as Biochemistry, FEBS Letters, Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Cell 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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