Guillaume Murat

433 total citations
10 papers, 334 citations indexed

About

Guillaume Murat is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Guillaume Murat has authored 10 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Oncology and 1 paper in Cell Biology. Recurrent topics in Guillaume Murat's work include RNA and protein synthesis mechanisms (9 papers), RNA modifications and cancer (7 papers) and RNA Research and Splicing (5 papers). Guillaume Murat is often cited by papers focused on RNA and protein synthesis mechanisms (9 papers), RNA modifications and cancer (7 papers) and RNA Research and Splicing (5 papers). Guillaume Murat collaborates with scholars based in Switzerland, Austria and Germany. Guillaume Murat's co-authors include Dieter Kressler, Brigitte Pertschy, Valentin Mitterer, Helmut Bergler, Gert Bange, Tamsyn Stanborough, Ed Hurt, Irmgard Sinning, Benjamin Pillet and Barbara Koch and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Guillaume Murat

10 papers receiving 334 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guillaume Murat Switzerland 10 318 64 26 18 13 10 334
Elvis Ndah Belgium 9 413 1.3× 45 0.7× 43 1.7× 27 1.5× 17 1.3× 9 443
Ella Bedford United States 6 269 0.8× 29 0.5× 46 1.8× 28 1.6× 7 0.5× 7 292
Homa Ghalei United States 13 479 1.5× 64 1.0× 17 0.7× 12 0.7× 18 1.4× 23 508
Yoo Jin Joo South Korea 10 332 1.0× 63 1.0× 15 0.6× 9 0.5× 26 2.0× 16 370
Jason Talkish United States 10 467 1.5× 66 1.0× 11 0.4× 8 0.4× 4 0.3× 11 479
Nikola Kellner Germany 7 380 1.2× 39 0.6× 16 0.6× 7 0.4× 8 0.6× 12 395
Valentin Mitterer Austria 10 340 1.1× 66 1.0× 12 0.5× 8 0.4× 6 0.5× 13 358
Christoph Leidig Germany 5 275 0.9× 48 0.8× 14 0.5× 8 0.4× 6 0.5× 5 293
S.K. Doamekpor United States 8 325 1.0× 34 0.5× 24 0.9× 6 0.3× 13 1.0× 11 359
J. Michael Charette United States 8 383 1.2× 22 0.3× 16 0.6× 13 0.7× 14 1.1× 11 409

Countries citing papers authored by Guillaume Murat

Since Specialization
Citations

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

Fields of papers citing papers by Guillaume Murat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guillaume Murat

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

All Works

10 of 10 papers shown
1.
Steinchen, Wieland, Florian M. Rossmann, Sven‐Andreas Freibert, et al.. (2020). An ATP-dependent partner switch links flagellar C-ring assembly with gene expression. Proceedings of the National Academy of Sciences. 117(34). 20826–20835. 17 indexed citations
2.
Pillet, Benjamin, Guillaume Murat, Laura Liesinger, et al.. (2019). Tsr4 and Nap1, two novel members of the ribosomal protein chaperOME. Nucleic Acids Research. 47(13). 6984–7002. 26 indexed citations
3.
Mitterer, Valentin, Sébastien Ferreira-Cerca, Guillaume Murat, et al.. (2019). Conformational proofreading of distant 40S ribosomal subunit maturation events by a long-range communication mechanism. Nature Communications. 10(1). 2754–2754. 35 indexed citations
4.
Murat, Guillaume, et al.. (2016). The eukaryote-specific N-terminal extension of ribosomal protein S31 contributes to the assembly and function of 40S ribosomal subunits. Nucleic Acids Research. 44(16). 7777–7791. 17 indexed citations
5.
Mitterer, Valentin, Guillaume Murat, S. Réty, et al.. (2016). Sequential domain assembly of ribosomal protein S3 drives 40S subunit maturation. Nature Communications. 7(1). 10336–10336. 49 indexed citations
6.
Mitterer, Valentin, Ruth Birner‐Gruenberger, Guillaume Murat, et al.. (2016). Nuclear import of dimerized ribosomal protein Rps3 in complex with its chaperone Yar1. Scientific Reports. 6(1). 36714–36714. 24 indexed citations
7.
Pausch, Patrick, Yasar Luqman Ahmed, Benjamin Pillet, et al.. (2015). Co-translational capturing of nascent ribosomal proteins by their dedicated chaperones. Nature Communications. 6(1). 7494–7494. 62 indexed citations
8.
Bange, Gert, Guillaume Murat, Irmgard Sinning, Ed Hurt, & Dieter Kressler. (2013). New twist to nuclear import: When two travel together. Communicative & Integrative Biology. 6(4). e24792–e24792. 21 indexed citations
10.
Koch, Barbara, Valentin Mitterer, Tamsyn Stanborough, et al.. (2012). Yar1 Protects the Ribosomal Protein Rps3 from Aggregation. Journal of Biological Chemistry. 287(26). 21806–21815. 54 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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