Beáta E. Jády

2.4k citations
22 papers · 1.9k · h-index 16

Impact in

    • RNA Research and Splicing
    • RNA modifications and cancer
    • RNA and protein synthesis mechanisms
    • RNA regulation and disease
    • Genomics and Chromatin Dynamics
    • RNA Interference and Gene Delivery
  • Aging top 10%

Papers in

    • RNA Research and Splicing 17
    • RNA modifications and cancer 16
    • RNA and protein synthesis mechanisms 11
    • DNA Repair Mechanisms 2
    • RNA Interference and Gene Delivery 2
    • Genomics and Chromatin Dynamics 2
    • Cancer-related gene regulation 2
    • Telomeres, Telomerase, and Senescence 3

Beáta E. Jády

22 papers receiving 1.9k citations

Peers

Beáta E. Jády
Comparison fields: 5 of 77
  • Molecular Biology 1.7k
  • Aging 32
  • Cancer Research 261
  • Virology 70
  • Physiology 347
Replace François Bachand with:
François Bachand Canada
Jérôme Déjardin France
Nausica Arnoult United States
Karen J. Goodrich United States
Ashwini S. Kamath‐Loeb United States
Zahangir Khaled United States
Cécile Bousquet‐Antonelli France
Katja Sträßer Germany
Batool Ossareh‐Nazari France
Artem K. Velichko Russia
Beáta E. Jády relative to François Bachand Canada François Bachand's profile →
Citations per field
00.5×1.5×
François Bachand · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Beáta E. Jády, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Beáta E. Jády Line = papers co-authored together Beáta E. Jády links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004215
2 2003210
3 2010196
4 2008188
5 2004169
6 2005150
7 2004143
8 1999130
9 200793
10 201090
11 200775
12 200950
13 201243
14 201124
15 202023
16 201720
17 201814
18 201514
19 200412
20 201611

About Beáta E. Jády

Beáta E. Jády is a scholar working on Molecular Biology, Physiology, Virology, Pollution and Cell Biology, having authored 22 papers that have together received 1.9k indexed citations. Recurring topics across this work include RNA Research and Splicing (17 papers), RNA modifications and cancer (16 papers), RNA and protein synthesis mechanisms (11 papers), Telomeres, Telomerase, and Senescence (3 papers), DNA Repair Mechanisms (2 papers), RNA Interference and Gene Delivery (2 papers), Genomics and Chromatin Dynamics (2 papers) and Cancer-related gene regulation (2 papers). The work is most often cited by research in Molecular Biology (1.7k citations), Aging (32 citations), Cancer Research (261 citations), Virology (70 citations) and Physiology (347 citations). Beáta E. Jády has collaborated with scholars based in France, Hungary and United States. Frequent 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. Their work appears in journals such as Molecular Cell, Nucleic Acids Research, Genes & Development, The EMBO Journal and The Journal of Cell Biology.

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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