Aurélien Kerever

23 total papers · 775 total citations
21 papers, 572 citations indexed

About

Aurélien Kerever is a scholar working on Molecular Biology, Cell Biology and Developmental Neuroscience. According to data from OpenAlex, Aurélien Kerever has authored 21 papers receiving a total of 572 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 11 papers in Cell Biology and 8 papers in Developmental Neuroscience. Recurrent topics in Aurélien Kerever's work include Proteoglycans and glycosaminoglycans research (11 papers), Neurogenesis and neuroplasticity mechanisms (8 papers) and Advanced Neuroimaging Techniques and Applications (5 papers). Aurélien Kerever is often cited by papers focused on Proteoglycans and glycosaminoglycans research (11 papers), Neurogenesis and neuroplasticity mechanisms (8 papers) and Advanced Neuroimaging Techniques and Applications (5 papers). Aurélien Kerever collaborates with scholars based in Japan, United States and France. Aurélien Kerever's co-authors include Eri Arikawa‐Hirasawa, F. Mercier, Chris Moon, Jimmy T. Efird, Naoki Ichikawa, Risa Nonaka, Vanessa Douet, Kazuhiko Tagawa, Hitoshi Okazawa and Bernard Zalc and has published in prestigious journals such as Journal of Neuroscience, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Aurélien Kerever

20 papers receiving 567 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Aurélien Kerever	259	236	144	142	74	21	572
Brigitte Schultze	231 0.9×	193 0.8×	58 0.4×	134 0.9×	45 0.6×	26	660
Vilma Schonmann	366 1.4×	291 1.2×	76 0.5×	166 1.2×	31 0.4×	19	620
Caterina Berti	271 1.0×	72 0.3×	161 1.1×	231 1.6×	56 0.8×	26	689
Hannah Thompson	269 1.0×	96 0.4×	79 0.5×	195 1.4×	46 0.6×	15	606
Corey M. McCann	267 1.0×	137 0.6×	46 0.3×	226 1.6×	53 0.7×	11	566
Noriko Okuyama	382 1.5×	77 0.3×	104 0.7×	102 0.7×	96 1.3×	17	606
Marie E. Bechler	277 1.1×	315 1.3×	130 0.9×	215 1.5×	25 0.3×	16	657
Ilan Gobius	220 0.8×	292 1.2×	63 0.4×	213 1.5×	69 0.9×	15	658
V. Kriho	261 1.0×	305 1.3×	70 0.5×	263 1.9×	21 0.3×	22	616
Leonardo E. Valdivia	316 1.2×	120 0.5×	181 1.3×	133 0.9×	17 0.2×	16	518

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-authorship network of co-authors of Aurélien Kerever

This figure shows the co-authorship network connecting the top 25 collaborators of Aurélien Kerever. A scholar is included among the top collaborators of Aurélien Kerever based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Aurélien Kerever. Aurélien Kerever is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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