Laure Strochlic

1.3k citations
20 papers · 908 · h-index 14

Impact in

Papers in

    • Ubiquitin and proteasome pathways 7
    • Muscle Physiology and Disorders 7
    • Wnt/β-catenin signaling in development and cancer 5
    • RNA Research and Splicing 4
    • Ion channel regulation and function 3
    • 14-3-3 protein interactions 3
    • Axon Guidance and Neuronal Signaling 3

Laure Strochlic

19 papers receiving 901 citations

Peers

Laure Strochlic
Comparison fields: 5 of 73
  • Cell Biology 260
  • Cellular and Molecular Neuroscience 280
  • Developmental Neuroscience 60
  • Neurology 187
  • Molecular Biology 646
Replace Li-Ying Yu with:
Li-Ying Yu Finland
Yael Segal-Ruder Israel
Xiuyin Teng United States
Arzu Karabay Türkiye
Aurélie Gresset France
Zofia M. Lasiecka United States
Pabitra K. Sahoo United States
Jenny Fortun United States
Cecilia Zuliani Germany
Loreto Cuitiño Chile
Laure Strochlic relative to Li-Ying Yu Finland Li-Ying Yu's profile →
Citations per field
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Li-Ying Yu · 1×
Citations per year

Countries citing papers authored by Laure Strochlic

Since Specialization
Citations

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

Fields of papers citing papers by Laure Strochlic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2010161
2 2004132
3 200690
4 201274
5 201560
6 201159
7 201055
8 200551
9 200145
10 200741
11 201739
12 200434
13 200928
14 201119
15 201810
16 20226
17 20232
18 20241
19 20051
20 20100

About Laure Strochlic

Laure Strochlic is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Neurology and Pharmacology, having authored 20 papers that have together received 908 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (7 papers), Muscle Physiology and Disorders (7 papers), Wnt/β-catenin signaling in development and cancer (5 papers), RNA Research and Splicing (4 papers), Ion channel regulation and function (3 papers), Myasthenia Gravis and Thymoma (3 papers), 14-3-3 protein interactions (3 papers) and Axon Guidance and Neuronal Signaling (3 papers). The work is most often cited by research in Cell Biology (260 citations), Cellular and Molecular Neuroscience (280 citations), Developmental Neuroscience (60 citations), Neurology (187 citations) and Molecular Biology (646 citations). Laure Strochlic has collaborated with scholars based in France, United Kingdom and Germany. Frequent co-authors include Christine E. Holt, Claire Legay, Annie Cartaud, Jean Cartaud, Asha Dwivedy, Douglas S. Campbell, Hosung Jung, Séverine M. Sigoillot, Francine Bourgeois and Éric Krejci. Their work appears in journals such as The Journal of Cell Biology, Journal of Neuroscience, Development, Developmental Neurobiology and Scientific Reports.

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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