Beáta E. Jády

2.4k total citations
22 papers, 1.9k citations indexed

About

Beáta E. Jády is a scholar working on Molecular Biology, Physiology and Virology. According to data from OpenAlex, Beáta E. Jády has authored 22 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 3 papers in Physiology and 1 paper in Virology. Recurrent topics in Beáta E. Jády's work include RNA Research and Splicing (17 papers), RNA modifications and cancer (16 papers) and RNA and protein synthesis mechanisms (11 papers). Beáta E. Jády is often cited by papers focused on RNA Research and Splicing (17 papers), RNA modifications and cancer (16 papers) and RNA and protein synthesis mechanisms (11 papers). Beáta E. Jády collaborates with scholars based in France, Hungary and United States. Beáta E. Jády's co-authors include Tamás Kiss, Édouard Bertrand, P. Richard, Sylvain Egloff, Philippe Ganot, Marie‐Line Bortolin‐Cavaillé, Xavier Darzacq, Christina Begon‐Pescia, Séverine Boulon and Céline Verheggen and has published in prestigious journals such as Nucleic Acids Research, Genes & Development and The Journal of Cell Biology.

In The Last Decade

Beáta E. Jády

22 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Beáta E. Jády France 16 1.7k 347 261 138 91 22 1.9k
François Bachand Canada 25 1.7k 1.0× 188 0.5× 150 0.6× 90 0.7× 72 0.8× 44 1.9k
Nausica Arnoult United States 16 1.4k 0.8× 854 2.5× 120 0.5× 33 0.2× 178 2.0× 23 1.7k
Jérôme Déjardin France 21 1.8k 1.0× 338 1.0× 90 0.3× 18 0.1× 408 4.5× 36 2.0k
Katja Sträßer Germany 24 2.7k 1.6× 52 0.1× 135 0.5× 36 0.3× 134 1.5× 42 3.0k
Stephen H. Munroe United States 14 1.1k 0.7× 45 0.1× 234 0.9× 37 0.3× 68 0.7× 23 1.3k
Isao Kashima Japan 12 2.1k 1.2× 42 0.1× 82 0.3× 62 0.4× 86 0.9× 12 2.2k
Karen J. Goodrich United States 20 1.9k 1.1× 432 1.2× 673 2.6× 18 0.1× 148 1.6× 22 2.0k
Soyeong Sim United States 18 817 0.5× 72 0.2× 141 0.5× 22 0.2× 34 0.4× 32 1.1k
Jayakrishnan Nandakumar United States 25 1.7k 1.0× 1.1k 3.2× 86 0.3× 47 0.3× 157 1.7× 47 2.1k
Xinfu Jiao United States 21 2.5k 1.4× 36 0.1× 685 2.6× 36 0.3× 115 1.3× 27 2.7k

Countries citing papers authored by Beáta E. Jády

Since Specialization
Citations

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

Fields of papers citing papers by Beáta E. Jády

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Beáta E. Jády. 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 Beáta E. Jády. The network helps show where Beáta E. Jády may publish in the future.

Co-authorship network of co-authors of Beáta E. Jády

This figure shows the co-authorship network connecting the top 25 collaborators of Beáta E. Jády. A scholar is included among the top collaborators of Beáta E. Jády 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 Beáta E. Jády. Beáta E. Jády 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.
Lau, Benjamin H.S., Jingdong Cheng, Dieter Kressler, et al.. (2022). Cms1 coordinates stepwise local 90S pre-ribosome assembly with timely snR83 release. Cell Reports. 41(8). 111684–111684. 1 indexed citations
2.
Jády, Beáta E., et al.. (2021). Guide RNA acrobatics: positioning consecutive uridines for pseudouridylation by H/ACA pseudouridylation loops with dual guide capacity. Genes & Development. 36(1-2). 70–83. 5 indexed citations
3.
Hanoun, Naı̈ma, Lætitia Ligat, Hubert Lulka, et al.. (2020). The E3 ubiquitin ligase TRIP12 participates in cell cycle progression and chromosome stability. Scientific Reports. 10(1). 789–789. 23 indexed citations
4.
Jády, Beáta E., et al.. (2018). Dynamic association of human mRNP proteins with mitochondrial tRNAs in the cytosol. RNA. 24(12). 1706–1720. 14 indexed citations
5.
Jády, Beáta E., Célia Plisson‐Chastang, Christophe Klopp, et al.. (2017). The Rio1p ATPase hinders premature entry into translation of late pre-40S pre-ribosomal particles. Nucleic Acids Research. 45(18). 10824–10836. 20 indexed citations
6.
Marnef, Aline, Beáta E. Jády, & Tamás Kiss. (2015). Human polypyrimidine tract-binding protein interacts with mitochondrial tRNAThrin the cytosol. Nucleic Acids Research. 44(3). 1342–1353. 14 indexed citations
7.
Jády, Beáta E., et al.. (2012). Human intron-encoded Alu RNAs are processed and packaged into Wdr79-associated nucleoplasmic box H/ACA RNPs. Genes & Development. 26(17). 1897–1910. 43 indexed citations
8.
Hoareau‐Aveilla, Coralie, et al.. (2011). Utp23p is required for dissociation of snR30 small nucleolar RNP from preribosomal particles. Nucleic Acids Research. 40(8). 3641–3652. 24 indexed citations
9.
Kiss, Tamás, et al.. (2010). Box H/ACA Small Ribonucleoproteins. Molecular Cell. 37(5). 597–606. 196 indexed citations
10.
Muniz, Lisa, Sylvain Egloff, Bettina Ughy, Beáta E. Jády, & Tamás Kiss. (2010). Controlling Cellular P-TEFb Activity by the HIV-1 Transcriptional Transactivator Tat. PLoS Pathogens. 6(10). e1001152–e1001152. 90 indexed citations
11.
Jobert, Laure, Natalia Pinzón, Beáta E. Jády, et al.. (2009). Human U1 snRNA forms a new chromatin‐associated snRNP with TAF15. EMBO Reports. 10(5). 494–500. 50 indexed citations
12.
Boulon, Séverine, Nathalie Marmier‐Gourrier, Bérengère Pradet‐Balade, et al.. (2008). The Hsp90 chaperone controls the biogenesis of L7Ae RNPs through conserved machinery. The Journal of Cell Biology. 180(3). 579–595. 188 indexed citations
13.
Theimer, Carla A., Beáta E. Jády, Nicholas Chim, et al.. (2007). Structural and Functional Characterization of Human Telomerase RNA Processing and Cajal Body Localization Signals. Molecular Cell. 27(6). 869–881. 75 indexed citations
14.
Egloff, Sylvain, Isabelle Goiffon, Beáta E. Jády, et al.. (2007). Dynamic remodelling of human 7SK snRNP controls the nuclear level of active P‐TEFb. The EMBO Journal. 26(15). 3570–3580. 93 indexed citations
15.
Jády, Beáta E., P. Richard, Édouard Bertrand, & Tamás Kiss. (2005). Cell Cycle-dependent Recruitment of Telomerase RNA and Cajal Bodies to Human Telomeres. Molecular Biology of the Cell. 17(2). 944–954. 150 indexed citations
16.
Kiss, Tamás & Beáta E. Jády. (2004). Functional Characterization of 2′-O-Methylation and Pseudouridylation Guide RNAs. Humana Press eBooks. 265. 393–408. 12 indexed citations
17.
Jády, Beáta E., et al.. (2004). Human Box H/ACA Pseudouridylation Guide RNA Machinery. Molecular and Cellular Biology. 24(13). 5797–5807. 169 indexed citations
18.
Boulon, Séverine, Céline Verheggen, Beáta E. Jády, et al.. (2004). PHAX and CRM1 Are Required Sequentially to Transport U3 snoRNA to Nucleoli. Molecular Cell. 16(5). 777–787. 143 indexed citations
19.
Jády, Beáta E.. (2003). Modification of Sm small nuclear RNAs occurs in the nucleoplasmic Cajal body following import from the cytoplasm. The EMBO Journal. 22(8). 1878–1888. 210 indexed citations
20.
Ganot, Philippe, Beáta E. Jády, Marie‐Line Bortolin‐Cavaillé, Xavier Darzacq, & Tamás Kiss. (1999). Nucleolar Factors Direct the 2′-O-Ribose Methylation and Pseudouridylation of U6 Spliceosomal RNA. Molecular and Cellular Biology. 19(10). 6906–6917. 130 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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