Laurent Bianchetti

565 total citations
17 papers, 195 citations indexed

About

Laurent Bianchetti is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Laurent Bianchetti has authored 17 papers receiving a total of 195 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Oncology. Recurrent topics in Laurent Bianchetti's work include RNA and protein synthesis mechanisms (6 papers), Genomics and Phylogenetic Studies (3 papers) and Computational Drug Discovery Methods (2 papers). Laurent Bianchetti is often cited by papers focused on RNA and protein synthesis mechanisms (6 papers), Genomics and Phylogenetic Studies (3 papers) and Computational Drug Discovery Methods (2 papers). Laurent Bianchetti collaborates with scholars based in France, Japan and Taiwan. Laurent Bianchetti's co-authors include Olivier Poch, C Oudet, François Guillemot, Fanny Stutzmann, Vanessa Ribes, Pascal Dollé, Isabelle Roux, Guy Fuhrmann, Annick Dejaegere and Stéphane Viville and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and PLoS ONE.

In The Last Decade

Laurent Bianchetti

16 papers receiving 193 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Laurent Bianchetti France 8 135 55 21 21 16 17 195
Lilia Kraoua Tunisia 9 130 1.0× 64 1.2× 15 0.7× 13 0.6× 14 0.9× 23 182
Daniel S. Gerke United States 9 294 2.2× 71 1.3× 34 1.6× 6 0.3× 10 0.6× 14 379
Brian D. Reed United States 4 182 1.3× 41 0.7× 12 0.6× 6 0.3× 13 0.8× 7 266
Harmony R. Salzler United States 11 309 2.3× 19 0.3× 29 1.4× 18 0.9× 5 0.3× 15 416
Jennifer M. Phillips United States 6 263 1.9× 76 1.4× 17 0.8× 11 0.5× 14 0.9× 6 337
Julie K. De Zutter United States 7 251 1.9× 41 0.7× 36 1.7× 13 0.6× 13 0.8× 9 333
Alessandro Bonetti Sweden 8 310 2.3× 40 0.7× 11 0.5× 36 1.7× 28 1.8× 15 407
Shahlo Тurdikulova Uzbekistan 8 155 1.1× 37 0.7× 35 1.7× 15 0.7× 16 1.0× 16 251
Vanessa Cheung Australia 8 389 2.9× 42 0.8× 29 1.4× 46 2.2× 10 0.6× 11 468
Nick A. Barlev Russia 8 401 3.0× 81 1.5× 66 3.1× 22 1.0× 10 0.6× 11 471

Countries citing papers authored by Laurent Bianchetti

Since Specialization
Citations

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

Fields of papers citing papers by Laurent Bianchetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laurent Bianchetti

This figure shows the co-authorship network connecting the top 25 collaborators of Laurent Bianchetti. A scholar is included among the top collaborators of Laurent Bianchetti 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 Laurent Bianchetti. Laurent Bianchetti 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.
Bianchetti, Laurent, Nicolas Simon, J. Nomme, et al.. (2024). Biosynthesis of a clickable pyoverdine via in vivo enzyme engineering of an adenylation domain. Microbial Cell Factories. 23(1). 207–207. 2 indexed citations
2.
Kühn, Lauriane, Richard Patryk Ngondo, B. Roche, et al.. (2024). SPATEs promote the survival of Shigella to the plasma complement system upon local hemorrhage and bacteremia. Proceedings of the National Academy of Sciences. 121(45). e2319951121–e2319951121. 4 indexed citations
3.
Katsu, Yoshinao, et al.. (2022). Cloning of nine glucocorticoid receptor isoforms from the slender African lungfish (Protopterus dolloi). PLoS ONE. 17(8). e0272219–e0272219. 3 indexed citations
4.
Sigüeiro, Rita, Laurent Bianchetti, Carole Peluso‐Iltis, et al.. (2022). Advances in Vitamin D Receptor Function and Evolution Based on the 3D Structure of the Lamprey Ligand-Binding Domain. Journal of Medicinal Chemistry. 65(7). 5821–5829. 6 indexed citations
5.
Bianchetti, Laurent, et al.. (2021). Insights into mineralocorticoid receptor homodimerization from a combined molecular modeling and bioinformatics study. Proteins Structure Function and Bioinformatics. 89(8). 952–965. 7 indexed citations
6.
Vigneron, Marc, Laurent Bianchetti, Annick Dejaegere, et al.. (2019). Self-Associating Peptides for Modular Bifunctional Conjugation of Tetramer Macromolecules in Living Cells. Bioconjugate Chemistry. 30(6). 1734–1744. 6 indexed citations
7.
Bianchetti, Laurent, et al.. (2018). Alternative dimerization interfaces in the glucocorticoid receptor-α ligand binding domain. Biochimica et Biophysica Acta (BBA) - General Subjects. 1862(8). 1810–1825. 18 indexed citations
8.
Bianchetti, Laurent, Odile Lecompte, Roland H. Stote, et al.. (2015). Tex19 and Sectm1 concordant molecular phylogenies support co-evolution of both eutherian-specific genes. BMC Evolutionary Biology. 15(1). 222–222. 3 indexed citations
9.
10.
Bianchetti, Laurent, et al.. (2011). Perfect sampling on contingency tables with an application to SAGE data. Journal of Statistical Planning and Inference. 142(4). 896–901. 3 indexed citations
11.
Alpy, Fabien, et al.. (2009). Les protéines à domaine START, des trafiquants intracellulaires de lipides. médecine/sciences. 25(2). 181–191. 16 indexed citations
12.
Ribes, Vanessa, Fanny Stutzmann, Laurent Bianchetti, et al.. (2008). Combinatorial signalling controls Neurogenin2 expression at the onset of spinal neurogenesis. Developmental Biology. 321(2). 470–481. 40 indexed citations
13.
Bianchetti, Laurent, Yongjin Wu, Éric Guérin, Frédéric Plewniak, & Olivier Poch. (2007). SAGETTARIUS: a program to reduce the number of tags mapped to multiple transcripts and to plan SAGE sequencing stages. Nucleic Acids Research. 35(18). e122–e122. 3 indexed citations
14.
Kuntz, Sandra, et al.. (2007). Tex19, a Mammalian-Specific Protein with a Restricted Expression in Pluripotent Stem Cells and Germ Line. Stem Cells. 26(3). 734–744. 35 indexed citations
15.
Lardenois, Aurélie, Frédéric Chalmel, Laurent Bianchetti, et al.. (2006). PromAn: an integrated knowledge-based web server dedicated to promoter analysis. Nucleic Acids Research. 34(Web Server). W578–W583. 12 indexed citations
16.
Bianchetti, Laurent, Julie Thompson, Odile Lecompte, Frédéric Plewniak, & Olivier Poch. (2005). vALId: VALIDATION OF PROTEIN SEQUENCE QUALITY BASED ON MULTIPLE ALIGNMENT DATA. Journal of Bioinformatics and Computational Biology. 3(4). 929–947. 8 indexed citations
17.
Bianchetti, Laurent, C Oudet, & Olivier Poch. (2002). M13 endopeptidases: New conserved motifs correlated with structure, and simultaneous phylogenetic occurrence of PHEX and the bony fish. Proteins Structure Function and Bioinformatics. 47(4). 481–488. 29 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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