Raphaël Marchand

402 citations
5 papers · 292 · h-index 2

Impact in

    • Cellular Mechanics and Interactions
    • Hippo pathway signaling and YAP/TAZ
    • Microtubule and mitosis dynamics
  • Biophysics top 10%
    • Cell Image Analysis Techniques

Papers in

Raphaël Marchand

4 papers receiving 290 citations

Peers

Raphaël Marchand
Comparison fields: 5 of 60
  • Cell Biology 226
  • Biophysics 29
  • Aging 6
  • Molecular Biology 147
  • Cellular and Molecular Neuroscience 24
Replace Daniel Čapek with:
Daniel Čapek Germany
Matthew Larson United States
Agathe Chaigne France
Christoph A. Brand Germany
Silvia Grigolon United Kingdom
Alexander Nestor-Bergmann United Kingdom
Murat Shagirov Singapore
Ana Lisica United Kingdom
Maria Duda United Kingdom
Andrea Jiménez-Dalmaroni Germany
Raphaël Marchand relative to Daniel Čapek Germany Daniel Čapek's profile →
Citations per field
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Citations per year

Countries citing papers authored by Raphaël Marchand

Since Specialization
Citations

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

Fields of papers citing papers by Raphaël Marchand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Raphaël Marchand, 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 Raphaël Marchand Line = papers co-authored together Raphaël Marchand links everyone, so they are left out of the graph.

All Works

About Raphaël Marchand

Raphaël Marchand is a scholar working on Biomedical Engineering, Molecular Biology, Sociology and Political Science, Physical and Theoretical Chemistry and Cell Biology, having authored 5 papers that have together received 292 indexed citations. Recurring topics across this work include Nanopore and Nanochannel Transport Studies (2 papers), Microfluidic and Bio-sensing Technologies (1 paper), Innovation, Sustainability, Human-Machine Systems (1 paper), Metallurgical and Alloy Processes (1 paper), Hippo pathway signaling and YAP/TAZ (1 paper), Solar-Powered Water Purification Methods (1 paper), Electrostatics and Colloid Interactions (1 paper) and Lipid Membrane Structure and Behavior (1 paper). The work is most often cited by research in Cell Biology (226 citations), Biophysics (29 citations), Aging (6 citations), Molecular Biology (147 citations) and Cellular and Molecular Neuroscience (24 citations). Raphaël Marchand has collaborated with scholars based in France, Austria and Bangladesh. Frequent co-authors include François Graner, Isabelle Bonnet, Sham Tlili, Ambre Petitalot, Philippe Marcq, Yohanns Bellaı̈che, Zhimin Wang, Boris Guirao, Floris Bosveld and Pierre‐Luc Bardet. Their work appears in journals such as Microelectronic Engineering, EMBO Reports, Biomedical Microdevices, Science and Materials Sciences and Applications.

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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