Claire Leclech

587 total citations
12 papers, 398 citations indexed

About

Claire Leclech is a scholar working on Cell Biology, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Claire Leclech has authored 12 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cell Biology, 5 papers in Molecular Biology and 5 papers in Biomedical Engineering. Recurrent topics in Claire Leclech's work include Cellular Mechanics and Interactions (8 papers), 3D Printing in Biomedical Research (5 papers) and Cell Adhesion Molecules Research (3 papers). Claire Leclech is often cited by papers focused on Cellular Mechanics and Interactions (8 papers), 3D Printing in Biomedical Research (5 papers) and Cell Adhesion Molecules Research (3 papers). Claire Leclech collaborates with scholars based in France and Italy. Claire Leclech's co-authors include Abdul I. Barakat, Catherine Villard, Claire A. Dessalles, Alessia Castagnino, Carlo F. Natale, Christine Métin, Marianne Renner, David Gonzalez‐Rodriguez, Anne‐Marie Déplanche and Laurent Muller and has published in prestigious journals such as Nature Communications, Biomaterials and Scientific Reports.

In The Last Decade

Claire Leclech

12 papers receiving 397 citations

Peers

Claire Leclech

BE

CB

MB

BIOMA

SURGE

Michelle S. Huang United States

Alice Dreser Germany

Carlo F. Natale Italy

Jungsil Kim United States

Eric Nguyen United States

Shuoran Li United States

Heonuk Jeong Japan

Thuy U. Luu United States

Nicole C. A. van Engeland Netherlands

Hwanseok Jang South Korea

Michelle S. Huang United States

Claire Leclech

198 ×1.0

BE

76 ×0.6

CB

121 ×1.3

MB

65 ×0.8

BIOMA

39 ×0.7

SURGE

Citations per year, relative to Claire Leclech Claire Leclech (= 1×) peers Michelle S. Huang

Countries citing papers authored by Claire Leclech

Since Specialization

Citations

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

Fields of papers citing papers by Claire Leclech

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claire Leclech

This figure shows the co-authorship network connecting the top 25 collaborators of Claire Leclech. A scholar is included among the top collaborators of Claire Leclech 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 Claire Leclech. Claire Leclech is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

12 of 12 papers shown

1.

Leclech, Claire, et al.. (2025). Clustering cell nuclei on microgrooves for disease diagnosis using deep learning. Scientific Reports. 15(1). 22476–22476. 1 indexed citations

2.

Leclech, Claire, et al.. (2025). Micro‐Scale Topography Triggers Dynamic 3D Nuclear Deformations. Advanced Science. 12(11). e2410052–e2410052. 2 indexed citations

3.

Leclech, Claire & Abdul I. Barakat. (2023). Physiological ramifications of constrained collective cell migration. BioEssays. 45(6). e2300017–e2300017. 3 indexed citations

4.

Leclech, Claire, et al.. (2023). Distinct Contact Guidance Mechanisms in Single Endothelial Cells and in Monolayers. Advanced Materials Interfaces. 10(14). 6 indexed citations

5.

Leclech, Claire, et al.. (2022). Topography-induced large-scale antiparallel collective migration in vascular endothelium. Nature Communications. 13(1). 2797–2797. 25 indexed citations

6.

Dessalles, Claire A., Claire Leclech, Alessia Castagnino, & Abdul I. Barakat. (2021). Integration of substrate- and flow-derived stresses in endothelial cell mechanobiology. Communications Biology. 4(1). 764–764. 130 indexed citations

7.

Leclech, Claire & Abdul I. Barakat. (2021). Is there a universal mechanism of cell alignment in response to substrate topography?. Cytoskeleton. 78(6). 284–292. 32 indexed citations

8.

Leclech, Claire & Catherine Villard. (2020). Cellular and Subcellular Contact Guidance on Microfabricated Substrates. Frontiers in Bioengineering and Biotechnology. 8. 551505–551505. 96 indexed citations

9.

Leclech, Claire, Carlo F. Natale, & Abdul I. Barakat. (2020). The basement membrane as a structured surface – role in vascular health and disease. Journal of Cell Science. 133(18). 70 indexed citations

10.

Leclech, Claire, Marianne Renner, Catherine Villard, & Christine Métin. (2019). Topographical cues control the morphology and dynamics of migrating cortical interneurons. Biomaterials. 214. 119194–119194. 21 indexed citations

11.

Leclech, Claire & Christine Métin. (2018). In Vitro Models to Analyze the Migration of MGE-Derived Interneurons. Methods in molecular biology. 1749. 145–161. 2 indexed citations

12.

Luccardini, Camilla, et al.. (2015). Cortical interneurons migrating on a pure substrate of N-cadherin exhibit fast synchronous centrosomal and nuclear movements and reduced ciliogenesis. Frontiers in Cellular Neuroscience. 9. 286–286. 10 indexed citations

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.

Explore authors with similar magnitude of impact