Pascale Legault

3.9k total citations · 1 hit paper
72 papers, 3.3k citations indexed

About

Pascale Legault is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Pascale Legault has authored 72 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Molecular Biology, 11 papers in Genetics and 10 papers in Ecology. Recurrent topics in Pascale Legault's work include RNA and protein synthesis mechanisms (43 papers), RNA modifications and cancer (24 papers) and RNA Research and Splicing (18 papers). Pascale Legault is often cited by papers focused on RNA and protein synthesis mechanisms (43 papers), RNA modifications and cancer (24 papers) and RNA Research and Splicing (18 papers). Pascale Legault collaborates with scholars based in Canada, United States and Germany. Pascale Legault's co-authors include Arthur Pardi, Jack Greenblatt, Lewis E. Kay, James G. Omichinski, Robert Konrat, Catherine Zwahlen, Sébastien J. F. Vincent, Fiona M. Jucker, Jeremy Mogridge and Paola Di Lello and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Pascale Legault

72 papers receiving 3.2k citations

Hit Papers

Methods for Measurement of Intermolecular NOEs by Multinu... 1997 2026 2006 2016 1997 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pascale Legault Canada 31 2.8k 372 311 257 237 72 3.3k
Voula Kanelis Canada 20 1.8k 0.7× 282 0.8× 285 0.9× 254 1.0× 265 1.1× 34 2.4k
Michael Wittekind United States 26 2.4k 0.9× 434 1.2× 285 0.9× 350 1.4× 581 2.5× 42 3.4k
Siddhartha Roy India 33 2.3k 0.8× 432 1.2× 219 0.7× 177 0.7× 367 1.5× 136 3.1k
David E. Anderson United States 23 2.5k 0.9× 530 1.4× 229 0.7× 244 0.9× 729 3.1× 43 3.4k
John Ionides United Kingdom 6 2.3k 0.8× 268 0.7× 104 0.3× 292 1.1× 466 2.0× 9 2.9k
Ming‐Qun Xu United States 35 4.1k 1.4× 422 1.1× 451 1.5× 89 0.3× 236 1.0× 69 4.6k
Rasmus H. Fogh United Kingdom 16 2.8k 1.0× 355 1.0× 149 0.5× 450 1.8× 606 2.6× 27 3.6k
Robert O. Fox United States 28 2.8k 1.0× 436 1.2× 170 0.5× 364 1.4× 707 3.0× 58 3.4k
Kevin J. Lumb United States 29 2.2k 0.8× 179 0.5× 172 0.6× 246 1.0× 656 2.8× 51 2.9k
Alastair I.H. Murchie United Kingdom 36 4.8k 1.7× 468 1.3× 467 1.5× 151 0.6× 204 0.9× 67 5.2k

Countries citing papers authored by Pascale Legault

Since Specialization
Citations

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

Fields of papers citing papers by Pascale Legault

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pascale Legault

This figure shows the co-authorship network connecting the top 25 collaborators of Pascale Legault. A scholar is included among the top collaborators of Pascale Legault 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 Pascale Legault. Pascale Legault 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
2.
Xiao, Shangxi, Nicolás Gómez, Elizabeth M.H. Tank, et al.. (2021). TDP-43 stabilizes G3BP1 mRNA: relevance to amyotrophic lateral sclerosis/frontotemporal dementia. Brain. 144(11). 3461–3476. 38 indexed citations
3.
Bouvette, Jonathan, Aurélien Fouillen, Antonio Nanci, et al.. (2018). High-yield production of human Dicer by transfection of human HEK293-EBNA1 cells grown in suspension. BMC Biotechnology. 18(1). 76–76. 3 indexed citations
4.
Lecoq, Lauriane, et al.. (2017). Structural characterization of interactions between transactivation domain 1 of the p65 subunit of NF-κB and transcription regulatory factors. Nucleic Acids Research. 45(9). 5564–5576. 42 indexed citations
5.
Legault, Pascale, et al.. (2014). A remarkably stable kissing-loop interaction defines substrate recognition by the Neurospora Varkud Satellite ribozyme. RNA. 20(9). 1451–1464. 26 indexed citations
6.
Legault, Pascale, et al.. (2013). Affinity purification of T7 RNA transcripts with homogeneous ends using ARiBo and CRISPR tags. RNA. 19(7). 1003–1014. 26 indexed citations
7.
Dagenais, Pierre & Pascale Legault. (2012). Preparative Separation of Ribonucleoside Monophosphates by Ion-Pair Reverse-Phase HPLC. Methods in molecular biology. 941. 247–256. 2 indexed citations
8.
Yang, Ao, et al.. (2011). Importance of the NCp7-like domain in the recognition of pre-let-7g by the pluripotency factor Lin28. Nucleic Acids Research. 40(4). 1767–1777. 30 indexed citations
9.
Dagenais, Pierre, et al.. (2010). The ARiBo tag: a reliable tool for affinity purification of RNAs under native conditions. Nucleic Acids Research. 39(3). e18–e18. 30 indexed citations
10.
Delfosse, V., et al.. (2009). Riboswitch structure: an internal residue mimicking the purine ligand. Nucleic Acids Research. 38(6). 2057–2068. 37 indexed citations
11.
Lisi, Véronique, et al.. (2008). Role of SLV in SLI substrate recognition by the Neurospora VS ribozyme. RNA. 14(4). 736–748. 22 indexed citations
12.
Lello, Paola Di, Lisa M. Jenkins, Bao D. Nguyen, et al.. (2006). Structure of the Tfb1/p53 Complex: Insights into the Interaction between the p62/Tfb1 Subunit of TFIIH and the Activation Domain of p53. Molecular Cell. 22(6). 731–740. 172 indexed citations
13.
Lello, Paola Di, Gregory Benison, Homayoun Valafar, et al.. (2004). NMR Structural Studies Reveal a Novel Protein Fold for MerB, the Organomercurial Lyase Involved in the Bacterial Mercury Resistance System ,. Biochemistry. 43(26). 8322–8332. 30 indexed citations
14.
Hoffmann, Bernd, Patrick Gendron, François Major, et al.. (2003). NMR structure of the active conformation of the Varkud satellite ribozyme cleavage site. Proceedings of the National Academy of Sciences. 100(12). 7003–7008. 49 indexed citations
15.
16.
Legault, Pascale, et al.. (1998). NMR Structure of the Bacteriophage λ N Peptide/boxB RNA Complex: Recognition of a GNRA Fold by an Arginine-Rich Motif. Cell. 93(2). 289–299. 224 indexed citations
17.
Zimmermann, Grant R., Pascale Legault, Michael E. Selsted, & Arthur Pardi. (1995). Solution Structure of Bovine Neutrophil .beta.-Defensin-12: The Peptide Fold of the .beta.-Defensins Is Identical to That of the Classical Defensins. Biochemistry. 34(41). 13663–13671. 116 indexed citations
18.
Legault, Pascale & Arthur Pardi. (1994). 31P Chemical Shift as a Probe of Structural Motifs in RNA. Journal of Magnetic Resonance Series B. 103(1). 82–86. 53 indexed citations
19.
Legault, Pascale, Daniel Herschlag, Daniel W. Celander, & Thomas R. Cech. (1992). Mutations at the guanosine-binding site of theTetrahymenaribozyme also affect site-specific hydrolysis. Nucleic Acids Research. 20(24). 6613–6619. 14 indexed citations
20.
Boulanger, Yvan, et al.. (1989). An incubation system for the NMR study of kidney tubules. Magnetic Resonance in Medicine. 12(3). 339–347. 7 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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