Laëtitia Préau

407 total citations
8 papers, 280 citations indexed

About

Laëtitia Préau is a scholar working on Molecular Biology, Cell Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Laëtitia Préau has authored 8 papers receiving a total of 280 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Cell Biology and 2 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Laëtitia Préau's work include Zebrafish Biomedical Research Applications (3 papers), Angiogenesis and VEGF in Cancer (3 papers) and Congenital heart defects research (2 papers). Laëtitia Préau is often cited by papers focused on Zebrafish Biomedical Research Applications (3 papers), Angiogenesis and VEGF in Cancer (3 papers) and Congenital heart defects research (2 papers). Laëtitia Préau collaborates with scholars based in Germany, France and Denmark. Laëtitia Préau's co-authors include Ghislaine Morvan-Dubois, Barbara Demeneix, Jean‐Baptiste Fini, Michel Vervoort, Guillaume Balavoine, Lucie Laplane, Eve Gazave, Aurélien Guillou, Adrien Demilly and Ferdinand le Noble and has published in prestigious journals such as Nature Communications, PLoS ONE and Developmental Biology.

In The Last Decade

Laëtitia Préau

8 papers receiving 279 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Laëtitia Préau Germany 6 131 55 49 47 40 8 280
Takako Yasuda Japan 14 217 1.7× 40 0.7× 11 0.2× 82 1.7× 35 0.9× 49 538
Guillaume Holzer France 11 123 0.9× 137 2.5× 34 0.7× 20 0.4× 57 1.4× 16 408
Erwin de la Fuente-Ortega Chile 13 169 1.3× 15 0.3× 26 0.5× 101 2.1× 9 0.2× 24 378
Xiaojie Li China 12 205 1.6× 24 0.4× 20 0.4× 45 1.0× 17 0.4× 34 635
Aldo Donizetti Italy 16 266 2.0× 11 0.2× 22 0.4× 34 0.7× 53 1.3× 37 651
Abinash C. Mistry United States 18 390 3.0× 61 1.1× 31 0.6× 48 1.0× 75 1.9× 26 818
K. Rapp United States 12 288 2.2× 40 0.7× 83 1.7× 21 0.4× 34 0.8× 28 579
Danielle T. Porter United States 8 98 0.7× 20 0.4× 12 0.2× 12 0.3× 23 0.6× 9 356
Lori A. Manzon Canada 11 182 1.4× 108 2.0× 20 0.4× 49 1.0× 28 0.7× 12 672
Kevin Larade Canada 13 142 1.1× 20 0.4× 63 1.3× 66 1.4× 41 1.0× 19 458

Countries citing papers authored by Laëtitia Préau

Since Specialization
Citations

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

Fields of papers citing papers by Laëtitia Préau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laëtitia Préau

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

All Works

8 of 8 papers shown
1.
Préau, Laëtitia, et al.. (2024). Parenchymal cues define Vegfa-driven venous angiogenesis by activating a sprouting competent venous endothelial subtype. Nature Communications. 15(1). 3118–3118. 7 indexed citations
2.
Afonin, Sergii, Laëtitia Préau, Masanari Takamiya, et al.. (2021). In Vivo Behavior of the Antibacterial Peptide Cyclo[RRRWFW], Explored Using a 3-Hydroxychromone-Derived Fluorescent Amino Acid. Frontiers in Chemistry. 9. 688446–688446. 5 indexed citations
3.
Rijssel, Jos van, J. E. Hammer, Laëtitia Préau, et al.. (2020). The GEF Trio controls endothelial cell size and arterial remodeling downstream of Vegf signaling in both zebrafish and cell models. Nature Communications. 11(1). 5319–5319. 31 indexed citations
4.
Blay, Karine Le, Laëtitia Préau, Ghislaine Morvan-Dubois, & Barbara Demeneix. (2018). Expression of the inactivating deiodinase, Deiodinase 3, in the pre-metamorphic tadpole retina. PLoS ONE. 13(4). e0195374–e0195374. 4 indexed citations
5.
Takamiya, Masanari, Yuya Hayashi, Uwe Strähle, et al.. (2017). Neuronal sFlt1 and Vegfaa determine venous sprouting and spinal cord vascularization. Nature Communications. 8(1). 13991–13991. 56 indexed citations
6.
Préau, Laëtitia, et al.. (2015). Differential thyroid hormone sensitivity of fast cycling progenitors in the neurogenic niches of tadpoles and juvenile frogs. Molecular and Cellular Endocrinology. 420. 138–151. 13 indexed citations
7.
Préau, Laëtitia, Jean‐Baptiste Fini, Ghislaine Morvan-Dubois, & Barbara Demeneix. (2014). Thyroid hormone signaling during early neurogenesis and its significance as a vulnerable window for endocrine disruption. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1849(2). 112–121. 89 indexed citations
8.
Gazave, Eve, Lucie Laplane, Aurélien Guillou, et al.. (2013). Posterior elongation in the annelid Platynereis dumerilii involves stem cells molecularly related to primordial germ cells. Developmental Biology. 382(1). 246–267. 75 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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