Aurélien Kerever

796 citations
21 papers · 590 · h-index 11

Impact in

Papers in

    • Fibroblast Growth Factor Research 3
    • Glycosylation and Glycoproteins Research 2
    • Congenital heart defects research 2
    • Proteoglycans and glycosaminoglycans research 10

Aurélien Kerever

21 papers receiving 586 citations

Peers

Aurélien Kerever
Comparison fields: 5 of 60
  • Developmental Neuroscience 231
  • Cell Biology 142
  • Cellular and Molecular Neuroscience 138
  • Neurology 51
  • Immunology and Allergy 35
Replace Suzanne Claxton with:
Suzanne Claxton United Kingdom
Konstantin Feinberg United States
Xiang-Chun Ju China
Seo‐Hee Cho United States
Isabell P. Weber Germany
Cheuk T. Leung United States
Karolı́na Kuchárová United States
G. Michailov Germany
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Citations per field
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Citations per year

Countries citing papers authored by Aurélien Kerever

Since Specialization
Citations

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

Fields of papers citing papers by Aurélien Kerever

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007226
2 201468
3 201753
4 201347
5 201840
6 201233
7 201727
8 201521
9 202115
10 201713
11 202110
12 20169
13 20157
14 20215
15 20194
16 20253
17 20223
18 20232
19 20222
20 20241

About Aurélien Kerever

Aurélien Kerever is a scholar working on Molecular Biology, Cell Biology, Developmental Neuroscience, Radiology, Nuclear Medicine and Imaging and Pediatrics, Perinatology and Child Health, having authored 21 papers that have together received 590 indexed citations. Recurring topics across this work include Proteoglycans and glycosaminoglycans research (10 papers), Neurogenesis and neuroplasticity mechanisms (7 papers), Advanced Neuroimaging Techniques and Applications (5 papers), Fibroblast Growth Factor Research (3 papers), Glycosylation and Glycoproteins Research (2 papers), Congenital heart defects research (2 papers), Neonatal and fetal brain pathology (2 papers) and Fetal and Pediatric Neurological Disorders (2 papers). The work is most often cited by research in Developmental Neuroscience (231 citations), Cell Biology (142 citations), Cellular and Molecular Neuroscience (138 citations), Neurology (51 citations) and Immunology and Allergy (35 citations). Aurélien Kerever has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Eri Arikawa‐Hirasawa, F. Mercier, Chris Moon, Jimmy T. Efird, Naoki Ichikawa, Risa Nonaka, Vanessa Douet, Hitoshi Okazawa, Kazuhiko Tagawa and Bernard Zalc. Their work appears in journals such as Magnetic Resonance in Medical Sciences, Scientific Reports, Journal of Neuroscience, Glycobiology and Frontiers in Neuroanatomy.

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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