Beáta Grallert
Impact in
- Cell Biology top 5%
- Microtubule and mitosis dynamics
- Endoplasmic Reticulum Stress and Disease
- Molecular Biology top 10%
- Fungal and yeast genetics research
- DNA Repair Mechanisms
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
Papers in
- Cell Biology 18
- Microtubule and mitosis dynamics 15
- Endoplasmic Reticulum Stress and Disease 4
-
- Fungal and yeast genetics research 21
- DNA Repair Mechanisms 19
- Genomics and Chromatin Dynamics 6
- CRISPR and Genetic Engineering 5
- RNA and protein synthesis mechanisms 5
- RNA Research and Splicing 4
- Co-authors
- Erik Boye (27 shared papers)Matthias Sipiczki (6 shared papers)Paul Nurse (3 shared papers)Gennaro D’Urso (1 shared paper)Trond Stokke (5 shared papers)Cathrine Rein Carlson (3 shared papers)Ida Miklós (1 shared paper)Ágnes Grallert (2 shared papers)
- Journals
- Journal of Cell Science (9 papers)Cell Cycle (4 papers)PLoS ONE (4 papers)BMC Cell Biology (3 papers)Current Genetics (3 papers)
- Partner nations
- NorwayHungaryUnited Kingdom
In The Last Decade
Beáta Grallert
43 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 93
- Cell Biology 301
- Molecular Biology 882
- Aging 14
- Biological Psychiatry 12
- Cancer Research 65
Countries citing papers authored by Beáta Grallert
This map shows the geographic impact of Beáta Grallert'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 Grallert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beáta Grallert more than expected).
Fields of papers citing papers by Beáta Grallert
This network shows the impact of papers produced by Beáta Grallert. 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 Grallert. The network helps show where Beáta Grallert may publish in the future.
Co-authors
The 25 scholars most cited alongside Beáta Grallert, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 117 | |
| 2 | 1995 | 106 | |
| 3 | 1993 | 70 | |
| 4 | 2000 | 67 | |
| 5 | 2017 | 63 | |
| 6 | 2019 | 53 | |
| 7 | 2008 | 37 | |
| 8 | 2011 | 36 | |
| 9 | 1997 | 33 | |
| 10 | 2015 | 33 | |
| 11 | 1999 | 32 | |
| 12 | 2015 | 32 | |
| 13 | 1993 | 31 | |
| 14 | 2019 | 30 | |
| 15 | 1999 | 29 | |
| 16 | 2007 | 29 | |
| 17 | 2018 | 28 | |
| 18 | 1998 | 25 | |
| 19 | 1991 | 24 | |
| 20 | 1990 | 20 |
About Beáta Grallert
Beáta Grallert is a scholar working on Cell Biology, Molecular Biology, Cancer Research, Oncology and Genetics, having authored 43 papers that have together received 1.1k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (21 papers), DNA Repair Mechanisms (19 papers), Microtubule and mitosis dynamics (15 papers), Genomics and Chromatin Dynamics (6 papers), CRISPR and Genetic Engineering (5 papers), RNA and protein synthesis mechanisms (5 papers), Endoplasmic Reticulum Stress and Disease (4 papers) and RNA Research and Splicing (4 papers). The work is most often cited by research in Cell Biology (301 citations), Molecular Biology (882 citations), Aging (14 citations), Biological Psychiatry (12 citations) and Cancer Research (65 citations). Beáta Grallert has collaborated with scholars based in Norway, Hungary and United Kingdom. Frequent co-authors include Erik Boye, Matthias Sipiczki, Paul Nurse, Gennaro D’Urso, Trond Stokke, Cathrine Rein Carlson, Ida Miklós, Ágnes Grallert, Stephen E. Kearsey and Kay Oliver Schink. Their work appears in journals such as Journal of Cell Science, Cell Cycle, PLoS ONE, BMC Cell Biology and Current Genetics.
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.