Raphaël Clément

1.3k citations
54 papers · 888 · h-index 11

Impact in

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

Papers in

    • Cellular Mechanics and Interactions 8
    • Microtubule and mitosis dynamics 3
    • Hippo pathway signaling and YAP/TAZ 3

Raphaël Clément

40 papers receiving 851 citations

Peers

Raphaël Clément
Comparison fields: 5 of 124
  • Cell Biology 375
  • Biophysics 41
  • Biomedical Engineering 297
  • Orthopedics and Sports Medicine 44
  • Cellular and Molecular Neuroscience 96
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Citations per field
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Citations per year

Countries citing papers authored by Raphaël Clément

Since Specialization
Citations

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

Fields of papers citing papers by Raphaël Clément

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015175
2 2011147
3 2016123
4 2017118
5 201746
6 201941
7 201232
8 201929
9 202027
10 201219
11 202117
12
[Arteriovenous aneurysms of Galen's ampulla in infants: their role in non-communicating hydrocephalus].
195411
13 202111
14 20178
15 20147
16
[Tay-Sachs' amaurotic idiocy].
19537
17
[Spontaneous internal carotid artery dissection].
20006
18 20106
19 20116
20
[Algodystrophy and venous thrombosis of the lower extremities. Diagnostic discussion. Apropos of 3 cases].
19875

About Raphaël Clément

Raphaël Clément is a scholar working on Cell Biology, Biophysics, Rheumatology, Dermatology and Pulmonary and Respiratory Medicine, having authored 54 papers that have together received 888 indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (8 papers), Developmental Biology and Gene Regulation (4 papers), Sarcoidosis and Beryllium Toxicity Research (3 papers), Microtubule and mitosis dynamics (3 papers), Hippo pathway signaling and YAP/TAZ (3 papers), Congenital heart defects research (3 papers), Micro and Nano Robotics (2 papers) and Orbital Angular Momentum in Optics (2 papers). The work is most often cited by research in Cell Biology (375 citations), Biophysics (41 citations), Biomedical Engineering (297 citations), Orthopedics and Sports Medicine (44 citations) and Cellular and Molecular Neuroscience (96 citations). Raphaël Clément has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Pierre‐François Lenne, Chris Oliver, Kate E. Bugler, Olivier Blanc, Brigitte E. Scammell, Benoît Dehapiot, Richard G. Pearson, Claudio Collinet, Thomas Lecuit and Stéphane Douady. Their work appears in journals such as Physical Biology, eLife, Nature Communications, Current Biology and BMJ Open.

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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