Benoı̂t Masquida

2.4k total citations
37 papers, 1.6k citations indexed

About

Benoı̂t Masquida is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Benoı̂t Masquida has authored 37 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 7 papers in Genetics and 6 papers in Ecology. Recurrent topics in Benoı̂t Masquida's work include RNA and protein synthesis mechanisms (35 papers), RNA modifications and cancer (23 papers) and RNA Research and Splicing (15 papers). Benoı̂t Masquida is often cited by papers focused on RNA and protein synthesis mechanisms (35 papers), RNA modifications and cancer (23 papers) and RNA Research and Splicing (15 papers). Benoı̂t Masquida collaborates with scholars based in France, Denmark and United States. Benoı̂t Masquida's co-authors include Éric Westhof, Bertrand Beckert, Robert Batey, Elizabeth Doherty, Jennifer A. Doudna, Luc Jaeger, Pascale Romby, Prashanth Rangan, Sarah A. Woodson and Stefano Marzi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and The EMBO Journal.

In The Last Decade

Benoı̂t Masquida

37 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benoı̂t Masquida France 20 1.5k 274 229 106 91 37 1.6k
Bertrand Beckert Germany 19 896 0.6× 240 0.9× 175 0.8× 72 0.7× 40 0.4× 32 1.0k
Jaanus Rèmme Estonia 24 1.7k 1.1× 512 1.9× 226 1.0× 41 0.4× 46 0.5× 67 1.8k
Jacek Wower United States 22 1.3k 0.9× 346 1.3× 174 0.8× 118 1.1× 55 0.6× 56 1.5k
M.A. Borovinskaya United States 4 1.5k 1.0× 452 1.6× 175 0.8× 79 0.7× 113 1.2× 5 1.7k
Glen A. Coburn Canada 12 1.1k 0.8× 556 2.0× 201 0.9× 69 0.7× 46 0.5× 14 1.3k
C. Kiong Ho United States 26 1.6k 1.1× 175 0.6× 193 0.8× 141 1.3× 59 0.6× 41 1.9k
B.S. Schuwirth United States 6 1.6k 1.1× 524 1.9× 180 0.8× 63 0.6× 107 1.2× 6 1.8k
Natalia Beloglazova Canada 17 937 0.6× 216 0.8× 170 0.7× 80 0.8× 54 0.6× 23 1.1k
Julie L Brunelle United States 16 1.2k 0.8× 290 1.1× 88 0.4× 33 0.3× 110 1.2× 17 1.4k
H. Ulrich Göringer Germany 29 1.9k 1.3× 219 0.8× 149 0.7× 47 0.4× 233 2.6× 76 2.1k

Countries citing papers authored by Benoı̂t Masquida

Since Specialization
Citations

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

Fields of papers citing papers by Benoı̂t Masquida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benoı̂t Masquida

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

All Works

20 of 20 papers shown
1.
Banai, Yona, et al.. (2017). An Ancient Pseudoknot in TNF-α Pre-mRNA Activates PKR, Inducing eIF2α Phosphorylation that Potently Enhances Splicing. Cell Reports. 20(1). 188–200. 18 indexed citations
2.
Fernández-Millán, Pablo, et al.. (2016). Transfer RNA: From pioneering crystallographic studies to contemporary tRNA biology. Archives of Biochemistry and Biophysics. 602. 95–105. 9 indexed citations
3.
Angulo, Jenniffer, Nathalie Ulryck, Jules Deforges, et al.. (2015). LOOP IIId of the HCV IRES is essential for the structural rearrangement of the 40S-HCV IRES complex. Nucleic Acids Research. 44(3). 1309–1325. 32 indexed citations
4.
Ali, Gowher, et al.. (2015). A Moonlighting Human Protein Is Involved in Mitochondrial Import of tRNA. International Journal of Molecular Sciences. 16(5). 9354–9367. 17 indexed citations
5.
Meyer, Mélanie, Henrik Nielsen, Vincent Oliéric, et al.. (2014). Speciation of a group I intron into a lariat capping ribozyme. Proceedings of the National Academy of Sciences. 111(21). 7659–7664. 27 indexed citations
6.
Daldrop, Peter, Benoı̂t Masquida, & David M.J. Lilley. (2013). The functional exchangeability of pk- and k-turns in RNA structure. RNA Biology. 10(3). 445–452. 7 indexed citations
7.
Romilly, Cédric, Clément Chevalier, Stefano Marzi, et al.. (2012). Loop-loop interactions involved in antisense regulation are processed by the endoribonuclease III inStaphylococcus aureus. RNA Biology. 9(12). 1461–1472. 21 indexed citations
8.
Meyer, Mélanie, Éric Westhof, & Benoı̂t Masquida. (2012). A structural module in RNase P expands the variety of RNA kinks. RNA Biology. 9(3). 254–260. 9 indexed citations
9.
Masquida, Benoı̂t & Éric Westhof. (2011). RNase P: At last, the key finds its lock. RNA. 17(9). 1615–1618. 6 indexed citations
10.
Masquida, Benoı̂t, et al.. (2010). Predicting and Modeling RNA Architecture. Cold Spring Harbor Perspectives in Biology. 3(2). a003632–a003632. 27 indexed citations
11.
Giuliodori, Anna Maria, Fabio Di Pietro, Stefano Marzi, et al.. (2010). The cspA mRNA Is a Thermosensor that Modulates Translation of the Cold-Shock Protein CspA. Molecular Cell. 37(1). 21–33. 174 indexed citations
12.
Chevalier, Clément, Sandrine Boisset, Cédric Romilly, et al.. (2010). Staphylococcus aureus RNAIII Binds to Two Distant Regions of coa mRNA to Arrest Translation and Promote mRNA Degradation. PLoS Pathogens. 6(3). e1000809–e1000809. 94 indexed citations
13.
Beckert, Bertrand & Benoı̂t Masquida. (2010). Synthesis of RNA by In Vitro Transcription. Methods in molecular biology. 703. 29–41. 131 indexed citations
14.
Beckert, Bertrand, Henrik Nielsen, Christer Einvik, et al.. (2008). Molecular modelling of the GIR1 branching ribozyme gives new insight into evolution of structurally related ribozymes. The EMBO Journal. 27(4). 667–678. 16 indexed citations
15.
Ryckelynck, Michaël, Benoı̂t Masquida, Richard Giegé, & Magali Frugier. (2005). An Intricate RNA Structure with two tRNA-derived Motifs Directs Complex Formation between Yeast Aspartyl-tRNA Synthetase and its mRNA. Journal of Molecular Biology. 354(3). 614–629. 19 indexed citations
16.
Tsai, Hsin‐Yue, Benoı̂t Masquida, Roopa Biswas, Éric Westhof, & Venkat Gopalan. (2002). Molecular Modeling of the Three-dimensional Structure of the Bacterial RNase P Holoenzyme. Journal of Molecular Biology. 325(4). 661–675. 91 indexed citations
17.
Waldsich, Christina, Benoı̂t Masquida, Éric Westhof, & Renée Schroeder. (2002). Monitoring intermediate folding states of the td group I intron in vivo. The EMBO Journal. 21(19). 5281–5291. 32 indexed citations
18.
Doherty, Elizabeth, Robert Batey, Benoı̂t Masquida, & Jennifer A. Doudna. (2001). A universal mode of helix packing in RNA.. Nature Structural Biology. 8(4). 339–343. 200 indexed citations
19.
Masquida, Benoı̂t & Éric Westhof. (2000). On the wobble GoU and related pairs. RNA. 6(1). 9–15. 103 indexed citations
20.
Masquida, Benoı̂t, C. Sauter, & Éric Westhof. (1999). A sulfate pocket formed by three GoU pairs in the 0.97 Å resolution X-ray structure of a nonameric RNA. RNA. 5(10). 1384–1395. 30 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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