Raphaël Thuret

1.3k total citations
17 papers, 637 citations indexed

About

Raphaël Thuret is a scholar working on Molecular Biology, Cell Biology and Developmental Neuroscience. According to data from OpenAlex, Raphaël Thuret has authored 17 papers receiving a total of 637 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 4 papers in Cell Biology and 3 papers in Developmental Neuroscience. Recurrent topics in Raphaël Thuret's work include RNA Research and Splicing (4 papers), Genomics and Chromatin Dynamics (4 papers) and Molecular Biology Techniques and Applications (3 papers). Raphaël Thuret is often cited by papers focused on RNA Research and Splicing (4 papers), Genomics and Chromatin Dynamics (4 papers) and Molecular Biology Techniques and Applications (3 papers). Raphaël Thuret collaborates with scholars based in United Kingdom, France and United States. Raphaël Thuret's co-authors include Nicolas Pollet, Ana Carolina Fierro, Gilles Bernot, Kristof Engelen, Kathleen Marchal, Emiliana Giacomello, Marisa M. Faraldo, Jean Paul Thiery, Nancy Papalopulu and H. Beverley Osborne and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Development.

In The Last Decade

Raphaël Thuret

17 papers receiving 624 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Raphaël Thuret United Kingdom 12 497 78 78 45 44 17 637
Wuhong Pei United States 17 672 1.4× 156 2.0× 132 1.7× 41 0.9× 24 0.5× 23 848
Sayaka Sekine Japan 9 585 1.2× 155 2.0× 96 1.2× 86 1.9× 47 1.1× 13 882
Stephanie Bechtel Germany 11 387 0.8× 131 1.7× 94 1.2× 30 0.7× 29 0.7× 17 577
Patrick B. F. O’Connor Ireland 15 1.0k 2.1× 58 0.7× 73 0.9× 27 0.6× 27 0.6× 21 1.1k
Jnanankur Bag Canada 18 777 1.6× 58 0.7× 65 0.8× 65 1.4× 31 0.7× 53 887
Junrui Li China 11 355 0.7× 34 0.4× 113 1.4× 82 1.8× 36 0.8× 18 532
Nagarajan Nandagopal United States 6 491 1.0× 51 0.7× 69 0.9× 43 1.0× 36 0.8× 6 582
Stephen T. Guest United States 11 408 0.8× 36 0.5× 66 0.8× 45 1.0× 77 1.8× 16 558
Irina M. Armean United Kingdom 7 333 0.7× 55 0.7× 130 1.7× 24 0.5× 28 0.6× 8 540
Laure Weill France 13 805 1.6× 28 0.4× 69 0.9× 33 0.7× 32 0.7× 19 973

Countries citing papers authored by Raphaël Thuret

Since Specialization
Citations

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

Fields of papers citing papers by Raphaël Thuret

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raphaël Thuret

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

All Works

17 of 17 papers shown
1.
Thuret, Raphaël, et al.. (2021). Foxm1 regulates neural progenitor fate during spinal cord regeneration. EMBO Reports. 22(9). e50932–e50932. 8 indexed citations
2.
Charalambous, Georgios, Raphaël Thuret, Irene M. Aspalter, et al.. (2021). Active perception during angiogenesis: filopodia speed up Notch selection of tip cells in silico and in vivo . Philosophical Transactions of the Royal Society B Biological Sciences. 376(1821). 20190753–20190753. 24 indexed citations
3.
Page, Donna J., Raphaël Thuret, Lakshmi Venkatraman, et al.. (2019). Positive Feedback Defines the Timing, Magnitude, and Robustness of Angiogenesis. Cell Reports. 27(11). 3139–3151.e5. 28 indexed citations
4.
Thuret, Raphaël, Hélène Auger, & Nancy Papalopulu. (2015). Analysis of neural progenitors from embryogenesis to juvenile adult inXenopus laevisreveals biphasic neurogenesis and continuous lengthening of the cell cycle. Biology Open. 4(12). 1772–1781. 20 indexed citations
5.
Sabherwal, Nitin, Raphaël Thuret, Robert Lea, Peter Stanley, & Nancy Papalopulu. (2014). aPKC Phosphorylates p27Xic1, Providing a Mechanistic Link between Apicobasal Polarity and Cell-Cycle Control. Developmental Cell. 31(5). 559–571. 16 indexed citations
6.
Tian, Hua, John S. Fletcher, Raphaël Thuret, et al.. (2014). Spatiotemporal lipid profiling during early embryo development of Xenopus laevis using dynamic ToF-SIMS imaging. Journal of Lipid Research. 55(9). 1970–1980. 33 indexed citations
7.
Roberts, Neil, Adrian S. Woolf, Helen M. Stuart, et al.. (2014). Heparanase 2, mutated in urofacial syndrome, mediates peripheral neural development in Xenopus. Human Molecular Genetics. 23(16). 4302–4314. 22 indexed citations
8.
Auger, Hélène, Raphaël Thuret, Warif El Yakoubi, & Nancy Papalopulu. (2012). A Bromodeoxyuridine (BrdU) Based Protocol for Characterizing Proliferating Progenitors in Xenopus Embryos. Methods in molecular biology. 917. 461–475. 7 indexed citations
9.
Thuret, Raphaël & Nancy Papalopulu. (2012). Following the Fate of Neural Progenitors by Homotopic/Homochronic Grafts in Xenopus Embryos. Methods in molecular biology. 916. 203–215. 1 indexed citations
10.
Sinzelle, Ludivine, Raphaël Thuret, Ho‐Yon Hwang, et al.. (2011). Characterization of a novel Xenopus tropicalis cell line as a model for in vitro studies. genesis. 50(3). 316–324. 24 indexed citations
11.
Love, Nick R., Raphaël Thuret, Yaoyao Chen, et al.. (2011). pTransgenesis: a cross-species, modular transgenesis resource. Development. 138(24). 5451–5458. 46 indexed citations
12.
Tonquèze, Olivier Le, et al.. (2008). Identification of CUG-BP1/EDEN-BP target mRNAs in Xenopus tropicalis. Nucleic Acids Research. 36(6). 1861–1870. 43 indexed citations
13.
Fierro, Ana Carolina, Raphaël Thuret, Kristof Engelen, et al.. (2008). Evaluation of time profile reconstruction from complex two-color microarray designs. BMC Bioinformatics. 9(1). 191 indexed citations
14.
Fierro, Ana Carolina, Raphaël Thuret, Laurent Coen, et al.. (2007). Exploring nervous system transcriptomes during embryogenesis and metamorphosis in Xenopus tropicalis using EST analysis. BMC Genomics. 8(1). 118–118. 13 indexed citations
15.
Gautier‐Courteille, Carole, H. Beverley Osborne, Arnault Graindorge, et al.. (2005). Post-transcriptional regulation in Xenopus embryos: role and targets of EDEN-BP. Biochemical Society Transactions. 33(6). 1541–1541. 9 indexed citations
16.
Osborne, H. Beverley, Carole Gautier‐Courteille, Arnault Graindorge, et al.. (2005). Post-transcriptional regulation in Xenopus embryos: role and targets of EDEN-BP. Biochemical Society Transactions. 33(6). 1541–1543. 8 indexed citations
17.
Thuret, Raphaël, et al.. (2001). Cloning and Characterization of ThreeXenopus Slug Promoters Reveal Direct Regulation by Lef/β-Catenin Signaling. Journal of Biological Chemistry. 276(32). 30350–30358. 144 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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