Frédéric Aurade

1.6k citations
31 papers · 1.2k indexed · h-index 20

Impact in

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

Papers in

Frédéric Aurade

30 papers receiving 1.2k citations

Peers

Frédéric Aurade
Comparison fields: 5 of 83
  • Hematology 258
  • Genetics 160
  • Cell Biology 213
  • Immunology and Allergy 63
  • Molecular Biology 705
Replace Pei Su with:
Pei Su China
Giovanni Amabile United States
Kyle J. Hewitt United States
Heather M. Rooke United States
Rita Ferreira United Kingdom
Adriana Lasa Spain
Alessandra Castiglioni United States
Tong Yin China
Alison Z. Young United States
Julia Inglés‐Esteve Spain
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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 2008146
2 2007135
3 1999121
4 201485
5 201285
6 201961
7 199654
8 199448
9 201644
10 201142
11 201541
12 201440
13 200739
14 199838
15 202235
16 201035
17 200721
18 199821
19 200621
20 199720

About Frédéric Aurade

Frédéric Aurade is a scholar working on Immunology and Allergy, Cell Biology, Molecular Biology, Genetics and Hematology, having authored 31 papers that have together received 1.2k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (11 papers), Tissue Engineering and Regenerative Medicine (4 papers), Pluripotent Stem Cells Research (4 papers), Cell Adhesion Molecules Research (3 papers), RNA Research and Splicing (3 papers), Cellular Mechanics and Interactions (3 papers), Developmental Biology and Gene Regulation (3 papers) and Cardiomyopathy and Myosin Studies (2 papers). The work is most often cited by research in Hematology (258 citations), Genetics (160 citations), Cell Biology (213 citations), Immunology and Allergy (63 citations) and Molecular Biology (705 citations). Frédéric Aurade has collaborated with scholars based in France, United Kingdom and Japan. Frequent co-authors include Frédéric Relaix, William Vainchenker, Jérôme Larghero, Frédéric Larbret, Yunhua Chang, Najet Debili, Christian Pinset, Didier Montarras, Mark Glenn and Lucille Rainbow. Their work appears in journals such as Blood, Journal of Cell Science, Differentiation, Journal of Leukocyte Biology and Developmental 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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