Frédéric Aurade

1.6k citations
31 papers · 1.3k · h-index 20

Impact in

  • Hematology top 5%
    • Platelet Disorders and Treatments
  • Genetics top 10%
    • Myeloproliferative Neoplasms: Diagnosis and Treatment

Papers in

    • Muscle Physiology and Disorders 11
    • Pluripotent Stem Cells Research 4
    • Developmental Biology and Gene Regulation 3
    • RNA Research and Splicing 3
    • Cancer-related gene regulation 2
    • Cellular Mechanics and Interactions 3

Frédéric Aurade

31 papers receiving 1.3k citations

Peers

Frédéric Aurade
Comparison fields: 5 of 84
  • Hematology 282
  • Genetics 157
  • Cell Biology 219
  • Aging 19
  • Molecular Biology 726
Replace Daniel N. Duong with:
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Pei Su China
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Citations per field
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Citations per year

Countries citing papers authored by Frédéric Aurade

Since Specialization
Citations

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

Fields of papers citing papers by Frédéric Aurade

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008162
2 2007152
3 1999128
4 201486
5 201285
6 201972
7 199655
8 201650
9 201148
10 199448
11 201547
12 200745
13 202242
14 201441
15 201039
16 199839
17 200622
18 199721
19 199821
20 200721

About Frédéric Aurade

Frédéric Aurade is a scholar working on Molecular Biology, Cell Biology, Immunology and Allergy, Surgery and Cellular and Molecular Neuroscience, having authored 31 papers that have together received 1.3k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (11 papers), Pluripotent Stem Cells Research (4 papers), Tissue Engineering and Regenerative Medicine (4 papers), Cellular Mechanics and Interactions (3 papers), Developmental Biology and Gene Regulation (3 papers), Cell Adhesion Molecules Research (3 papers), RNA Research and Splicing (3 papers) and Cancer-related gene regulation (2 papers). The work is most often cited by research in Hematology (282 citations), Genetics (157 citations), Cell Biology (219 citations), Aging (19 citations) and Molecular Biology (726 citations). Frédéric Aurade has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Frédéric Relaix, William Vainchenker, Najet Debili, Frédéric Larbret, Jérôme Larghero, Yunhua Chang, Andrew J. Davison, Mark A. Glenn, Thomas Friedrich Schulz and Lucille Rainbow. Their work appears in journals such as Blood, Journal of Cell Science, Developmental Cell, Developmental Biology and Journal of Leukocyte 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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