Frédéric Causeret

1.7k citations
32 papers · 1.3k · h-index 19

Impact in

Papers in

Frédéric Causeret

30 papers receiving 1.3k citations

Peers

Frédéric Causeret
Comparison fields: 5 of 64
  • Developmental Neuroscience 432
  • Cellular and Molecular Neuroscience 400
  • Molecular Biology 356
  • Neurology 28
  • Cell Biology 43
Replace Suzana Atanasoski with:
Suzana Atanasoski Switzerland
Marı́a José Barallobre Spain
Trent A. Watkins United States
Jufang Chang United States
Takahiko Kawasaki Japan
Mahesh B. Lachyankar United States
Avihu Klar Israel
Manuela Schwark Germany
Yukako Yokota United States
Frédéric Causeret relative to Suzana Atanasoski Switzerland Suzana Atanasoski's profile →
Citations per field
00.5×2×2.7×
Suzana Atanasoski · 1×
Citations per year

Countries citing papers authored by Frédéric Causeret

Since Specialization
Citations

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

Fields of papers citing papers by Frédéric Causeret

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001291
2 2006195
3 2010113
4 200480
5 200760
6 200251
7 201548
8 200847
9 202144
10 202142
11 200541
12 201540
13 201534
14 200731
15 200930
16 201825
17 202024
18 201920
19 201119
20 201714

About Frédéric Causeret

Frédéric Causeret is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience, Molecular Biology, Pediatrics, Perinatology and Child Health and Pulmonary and Respiratory Medicine, having authored 32 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (19 papers), Axon Guidance and Neuronal Signaling (8 papers), Developmental Biology and Gene Regulation (5 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Cell death mechanisms and regulation (1 paper), Sarcoma Diagnosis and Treatment (1 paper), Spinal Dysraphism and Malformations (1 paper) and Fetal and Pediatric Neurological Disorders (1 paper). The work is most often cited by research in Developmental Neuroscience (432 citations), Cellular and Molecular Neuroscience (400 citations), Molecular Biology (356 citations), Neurology (28 citations) and Cell Biology (43 citations). Frédéric Causeret has collaborated with scholars based in France, United Kingdom and Japan. Frequent co-authors include Evelyne Bloch‐Gallego, Alessandra Pierani, Patrick Mehlen, Fabien Llambi, Margareta Nikolić, Stéphanie Backer, Mami Terao, Britta Johanna Eickholt, Edward J. McManus and Hilary McLauchlan. Their work appears in journals such as Development, Journal of Neuroscience, Developmental Biology, Molecular and Cellular Neuroscience and Current Opinion in Neurobiology.

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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