Beáta E. Jády
Impact in
- Molecular Biology top 5%
- RNA modifications and cancer
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- RNA regulation and disease
- Genomics and Chromatin Dynamics
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
Papers in
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- RNA Research and Splicing 19
- RNA modifications and cancer 18
- 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
- Co-authors
- Tamás Kiss (22 shared papers)Édouard Bertrand (8 shared papers)Xavier Darzacq (4 shared papers)Céline Verheggen (4 shared papers)P. Richard (3 shared papers)A. Gregory Matera (2 shared papers)Sylvain Egloff (2 shared papers)Philippe Ganot (1 shared paper)
- Journals
- The EMBO Journal (4 papers)Nucleic Acids Research (3 papers)Molecular Cell (3 papers)The Journal of Cell Biology (2 papers)Genes & Development (2 papers)
- Partner nations
- FranceHungaryUnited States
In The Last Decade
Beáta E. Jády
24 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 79
- Molecular Biology 2.3k
- Cancer Research 379
- Aging 45
- Genetics 193
- Physiology 416
Countries citing papers authored by Beáta E. Jády
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
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.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 411 | |
| 2 | 2004 | 220 | |
| 3 | 2003 | 216 | |
| 4 | 2010 | 212 | |
| 5 | 2008 | 194 | |
| 6 | 2003 | 177 | |
| 7 | 2004 | 175 | |
| 8 | 2005 | 157 | |
| 9 | 2004 | 149 | |
| 10 | 1999 | 134 | |
| 11 | 2007 | 95 | |
| 12 | 2010 | 90 | |
| 13 | 2007 | 78 | |
| 14 | 2009 | 51 | |
| 15 | 2012 | 43 | |
| 16 | 2020 | 25 | |
| 17 | 2011 | 25 | |
| 18 | 2017 | 20 | |
| 19 | 2018 | 14 | |
| 20 | 2015 | 14 |
About Beáta E. Jády
Beáta E. Jády is a scholar working on Molecular Biology, Physiology, Cancer Research, Genetics and Virology, having authored 24 papers that have together received 2.5k indexed citations. Recurring topics across this work include RNA Research and Splicing (19 papers), RNA modifications and cancer (18 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 (2.3k citations), Cancer Research (379 citations), Aging (45 citations), Genetics (193 citations) and Physiology (416 citations). Beáta E. Jády has collaborated with scholars based in France, Hungary and United States. Frequent co-authors include Tamás Kiss, Édouard Bertrand, Xavier Darzacq, Céline Verheggen, P. Richard, A. Gregory Matera, Sylvain Egloff, Philippe Ganot, Marie‐Line Bortolin‐Cavaillé and Christina Begon‐Pescia. Their work appears in journals such as The EMBO Journal, Nucleic Acids Research, Molecular Cell, The Journal of Cell Biology and Genes & Development.
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.