Nicolas Pagé

2.8k citations
36 papers · 1.7k indexed · h-index 23

Impact in

  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
  • Physiology top 5%

Papers in

    • Immune Cell Function and Interaction 10
    • T-cell and B-cell Immunology 9
    • Immunotherapy and Immune Responses 7

Nicolas Pagé

35 papers receiving 1.7k citations

Peers

Nicolas Pagé
Comparison fields: 5 of 99
  • Immunology 592
  • Physiology 73
  • Neurology 127
  • Cell Biology 231
  • Molecular Biology 848
Replace Johnathan Canton with:
Johnathan Canton Canada
Zhongde Ye United States
René J. P. Musters Netherlands
Kazuyuki Furuta Japan
Arata Takeuchi Japan
Christophe Macri Australia
Bernd Wiederanders Germany
Hossein A. Hamed United States
Kefeng Lu China
Anna Bianchi United States
Nicolas Pagé relative to Johnathan Canton Canada Johnathan Canton's profile →
Citations per field
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Johnathan Canton · 1×
Citations per year

Countries citing papers authored by Nicolas Pagé

Since Specialization
Citations

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

Fields of papers citing papers by Nicolas Pagé

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016159
2 2003133
3 2012125
4 2010103
5 200484
6 201183
7 201581
8 201680
9 200179
10 201466
11 201764
12 201856
13 201755
14 200254
15 200953
16 201251
17 201948
18 199639
19 202234
20 202130

About Nicolas Pagé

Nicolas Pagé is a scholar working on Immunology, Aging, Cell Biology, Neurology and Developmental Neuroscience, having authored 36 papers that have together received 1.7k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (10 papers), Fungal and yeast genetics research (9 papers), T-cell and B-cell Immunology (9 papers), Immunotherapy and Immune Responses (7 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Autophagy in Disease and Therapy (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and RNA and protein synthesis mechanisms (3 papers). The work is most often cited by research in Immunology (592 citations), Physiology (73 citations), Neurology (127 citations), Cell Biology (231 citations) and Molecular Biology (848 citations). Nicolas Pagé has collaborated with scholars based in Switzerland, United States and France. Frequent co-authors include Sylviane Muller, Nicolas Schall, Doron Merkler, Howard Bussey, Marion Décossas, Frédéric Gros, Jean‐Paul Briand, Mario Kreutzfeldt, Daniel D. Pinschewer and Ingrid Wagner. Their work appears in journals such as Nature Communications, Autophagy, Yeast, Frontiers in Immunology and Cancer Research.

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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