Nicolas Glade

918 citations
34 papers · 613 · h-index 16

Impact in

Papers in

    • Gene Regulatory Network Analysis 8
    • Receptor Mechanisms and Signaling 3
    • Microtubule and mitosis dynamics 8
    • Cellular Mechanics and Interactions 4

Nicolas Glade

34 papers receiving 580 citations

Peers

Nicolas Glade
Comparison fields: 5 of 90
  • Aging 17
  • Biophysics 44
  • Physiology 33
  • Cell Biology 110
  • Modeling and Simulation 27
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William Mather United States
Jean-François Joanny France
Filipe Tostevin Netherlands
Ganhui Lan United States
André S. Ribeiro Finland
Albert F. Lawrence United States
Anna L. Lin United States
Jan-Willem van de Meent United States
Vladimír Varga Czechia
Michael J. Taormina United States
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Citations per field
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Citations per year

Countries citing papers authored by Nicolas Glade

Since Specialization
Citations

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

Fields of papers citing papers by Nicolas Glade

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Nicolas Glade, 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 Glade Line = papers co-authored together Nicolas Glade 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 2004152
2 200239
3 200535
4 200531
5 200227
6 200725
7 201223
8 200323
9 200722
10 200522
11 200921
12 200721
13 200419
14 200619
15 200718
16 200216
17 200615
18 200914
19 200212
20 200712

About Nicolas Glade

Nicolas Glade is a scholar working on Molecular Biology, Cell Biology, Physiology, Computational Theory and Mathematics and Astronomy and Astrophysics, having authored 34 papers that have together received 613 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (8 papers), Spaceflight effects on biology (8 papers), Gene Regulatory Network Analysis (8 papers), Biofield Effects and Biophysics (5 papers), Cellular Mechanics and Interactions (4 papers), Receptor Mechanisms and Signaling (3 papers), Biocrusts and Microbial Ecology (3 papers) and Magnetic and Electromagnetic Effects (3 papers). The work is most often cited by research in Aging (17 citations), Biophysics (44 citations), Physiology (33 citations), Cell Biology (110 citations) and Modeling and Simulation (27 citations). Nicolas Glade has collaborated with scholars based in France, Chile and Canada. Frequent co-authors include Jacques Demongeot, James Tabony, Loïc Forest, Isabelle Chartier, Luigi Altomare, Marco Tartagni, Gianni Medoro, R. Guerrieri, J. Bablet and Nicolò Manaresi. Their work appears in journals such as Acta Biotheoretica, Biophysical Chemistry, Comptes Rendus Mathématique, Comptes Rendus Biologies and Theory in Biosciences.

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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