Charlène Guillot

1.1k total citations · 1 hit paper
6 papers, 679 citations indexed

About

Charlène Guillot is a scholar working on Molecular Biology, Cell Biology and Oncology. According to data from OpenAlex, Charlène Guillot has authored 6 papers receiving a total of 679 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Cell Biology and 1 paper in Oncology. Recurrent topics in Charlène Guillot's work include Developmental Biology and Gene Regulation (3 papers), Cellular Mechanics and Interactions (3 papers) and Planarian Biology and Electrostimulation (2 papers). Charlène Guillot is often cited by papers focused on Developmental Biology and Gene Regulation (3 papers), Cellular Mechanics and Interactions (3 papers) and Planarian Biology and Electrostimulation (2 papers). Charlène Guillot collaborates with scholars based in France, United States and Portugal. Charlène Guillot's co-authors include Thomas Lecuit, Olivier Pourquié, Arthur Michaut, Jérome Chal, Brian Rabe, Alessandro Mongera, Fengzhu Xiong, Vicki Metzis and Anahí Binagui-Casas and has published in prestigious journals such as Science, Development and Developmental Cell.

In The Last Decade

Charlène Guillot

6 papers receiving 677 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Mechanics of Epithelial Tissue Homeostasis and Morphogenesis

2013 446 citations Charlène Guillot, Thomas Lecuit Science profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Charlène Guillot France	6	432	342	143	45	41	6	679
Ritsuya Niwayama Japan	7	480 1.1×	512 1.5×	177 1.2×	51 1.1×	36 0.9×	9	842
Linus J. Schumacher United Kingdom	15	233 0.5×	310 0.9×	153 1.1×	33 0.7×	46 1.1×	25	698
Akankshi Munjal France	6	509 1.2×	273 0.8×	131 0.9×	56 1.2×	99 2.4×	7	656
Yusuke Hara Japan	9	371 0.9×	272 0.8×	98 0.7×	51 1.1×	70 1.7×	22	574
Andrea Dimitracopoulos United Kingdom	9	478 1.1×	247 0.7×	158 1.1×	45 1.0×	50 1.2×	11	668
Hui Ting Ong Singapore	11	388 0.9×	191 0.6×	236 1.7×	45 1.0×	26 0.6×	25	610
Matej Krajnc Slovenia	12	396 0.9×	181 0.5×	183 1.3×	34 0.8×	37 0.9×	20	558
Visalatchi Thiagarajan Israel	4	412 1.0×	219 0.6×	130 0.9×	45 1.0×	35 0.9×	4	604
Alessandro De Simone United States	11	248 0.6×	354 1.0×	67 0.5×	26 0.6×	36 0.9×	15	538
Philippe‐Alexandre Pouille Spain	5	403 0.9×	232 0.7×	154 1.1×	52 1.2×	31 0.8×	6	514

Countries citing papers authored by Charlène Guillot

Since Specialization

Citations

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

Fields of papers citing papers by Charlène Guillot

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Charlène Guillot

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

All Works

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6 of 6 papers shown

1.

Guillot, Charlène, et al.. (2021). Dynamics of primitive streak regression controls the fate of neuromesodermal progenitors in the chicken embryo. eLife. 10. 40 indexed citations

2.

Binagui-Casas, Anahí, et al.. (2021). Building consensus in neuromesodermal research: Current advances and future biomedical perspectives. Current Opinion in Cell Biology. 73. 133–140. 25 indexed citations

3.

Mongera, Alessandro, Arthur Michaut, Charlène Guillot, Fengzhu Xiong, & Olivier Pourquié. (2019). Mechanics of Anteroposterior Axis Formation in Vertebrates. Annual Review of Cell and Developmental Biology. 35(1). 259–283. 36 indexed citations

4.

Chal, Jérome, Charlène Guillot, & Olivier Pourquié. (2017). PAPC couples the segmentation clock to somite morphogenesis by regulating N-cadherin-dependent adhesion. Development. 144(4). 664–676. 27 indexed citations

5.

Guillot, Charlène & Thomas Lecuit. (2013). Mechanics of Epithelial Tissue Homeostasis and Morphogenesis. Science. 340(6137). 1185–1189. 446 indexed citations breakdown →

6.

Guillot, Charlène & Thomas Lecuit. (2013). Adhesion Disengagement Uncouples Intrinsic and Extrinsic Forces to Drive Cytokinesis in Epithelial Tissues. Developmental Cell. 24(3). 227–241. 105 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.

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