Arnaud Échard

12.4k citations
66 papers · 4.8k indexed · h-index 36

Impact in

  • Cell Biology top 0.1%
    • Cellular transport and secretion
    • Microtubule and mitosis dynamics
    • Cellular Mechanics and Interactions
    • Endoplasmic Reticulum Stress and Disease
  • Aging top 2%

Papers in

    • Cellular transport and secretion 40
    • Microtubule and mitosis dynamics 33
    • Cellular Mechanics and Interactions 12
    • Hippo pathway signaling and YAP/TAZ 6
    • Erythrocyte Function and Pathophysiology 8

Arnaud Échard

65 papers receiving 4.7k citations

Peers

Arnaud Échard
Comparison fields: 5 of 108
  • Cell Biology 3.5k
  • Aging 136
  • Physiology 237
  • Molecular Biology 2.8k
  • Structural Biology 34
Replace Rytis Prekeris with:
Rytis Prekeris United States
Steve Caplan United States
Folma Buß United Kingdom
Jeremy G. Carlton United Kingdom
Galina V. Beznoussenko Italy
Stephen Doxsey United States
Kyle J. Roux United States
J. Chloë Bulinski United States
Ernst Ungewickell Germany
Arnaud Échard relative to Rytis Prekeris United States Rytis Prekeris's profile →
Citations per field
00.5×1.7×
Rytis Prekeris · 1×
Citations per year

Countries citing papers authored by Arnaud Échard

Since Specialization
Citations

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

Fields of papers citing papers by Arnaud Échard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998434
2 1999358
3 2006304
4 2004234
5 2011233
6 2010231
7 2016226
8 2008186
9 2001130
10 2012125
11 2017119
12 2016106
13 2021106
14 2008106
15 2000103
16 2000100
17 201680
18 200678
19 201574
20 201474

About Arnaud Échard

Arnaud Échard is a scholar working on Cell Biology, Physiology, Structural Biology, Virology and Molecular Biology, having authored 66 papers that have together received 4.8k indexed citations. Recurring topics across this work include Cellular transport and secretion (40 papers), Microtubule and mitosis dynamics (33 papers), Cellular Mechanics and Interactions (12 papers), Pancreatic function and diabetes (9 papers), Erythrocyte Function and Pathophysiology (8 papers), Hippo pathway signaling and YAP/TAZ (6 papers), Lipid Membrane Structure and Behavior (5 papers) and Photosynthetic Processes and Mechanisms (5 papers). The work is most often cited by research in Cell Biology (3.5k citations), Aging (136 citations), Physiology (237 citations), Molecular Biology (2.8k citations) and Structural Biology (34 citations). Arnaud Échard has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Bruno Goud, Ilektra Kouranti, Patrick H. O’Farrell, Florence Jollivet, Stéphane Frémont, Martin Sachse, Gilles R.X. Hickson, Kerstin Klinkert, Florencia di Pietro and Xavier Morin. Their work appears in journals such as Nature Communications, Current Biology, The Journal of Cell Biology, Journal of Cell Science and Nature 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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