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
-
- Fungal and yeast genetics research 24
- DNA Repair Mechanisms 21
- RNA Research and Splicing 5
- RNA and protein synthesis mechanisms 5
- Genomics and Chromatin Dynamics 5
- CRISPR and Genetic Engineering 5
- Cell Biology 19
- Microtubule and mitosis dynamics 15
- Endoplasmic Reticulum Stress and Disease 5
- Co-authors
- Erik Boye (28 shared papers)Paul Nurse (4 shared papers)Matthias Sipiczki (6 shared papers)Gennaro D’Urso (1 shared paper)Trond Stokke (6 shared papers)Cathrine R. Carlson (3 shared papers)Ida Miklós (1 shared paper)Stephen Kearsey (3 shared papers)
- Journals
- Journal of Cell Science (9 papers)PLoS ONE (4 papers)Cell Cycle (4 papers)BMC Cell Biology (3 papers)Current Genetics (3 papers)
- Partner nations
- NorwayHungaryUnited Kingdom
In The Last Decade
Beáta Grallert
45 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 92
- Cell Biology 347
- Molecular Biology 1.0k
- Aging 16
- Biological Psychiatry 11
- Cancer Research 62
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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 114 | |
| 2 | 1995 | 109 | |
| 3 | 1996 | 101 | |
| 4 | 1993 | 70 | |
| 5 | 2000 | 66 | |
| 6 | 2017 | 59 | |
| 7 | 2019 | 51 | |
| 8 | 2007 | 44 | |
| 9 | 2011 | 35 | |
| 10 | 2015 | 34 | |
| 11 | 1999 | 33 | |
| 12 | 2015 | 32 | |
| 13 | 1997 | 31 | |
| 14 | 1999 | 31 | |
| 15 | 2008 | 30 | |
| 16 | 1993 | 29 | |
| 17 | 2019 | 29 | |
| 18 | 2007 | 28 | |
| 19 | 2018 | 27 | |
| 20 | 1991 | 25 |
About Beáta Grallert
Beáta Grallert is a scholar working on Molecular Biology, Cell Biology, Oncology, Cancer Research and Genetics, having authored 45 papers that have together received 1.2k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (24 papers), DNA Repair Mechanisms (21 papers), Microtubule and mitosis dynamics (15 papers), Endoplasmic Reticulum Stress and Disease (5 papers), RNA Research and Splicing (5 papers), RNA and protein synthesis mechanisms (5 papers), Genomics and Chromatin Dynamics (5 papers) and CRISPR and Genetic Engineering (5 papers). The work is most often cited by research in Cell Biology (347 citations), Molecular Biology (1.0k citations), Aging (16 citations), Biological Psychiatry (11 citations) and Cancer Research (62 citations). Beáta Grallert has collaborated with scholars based in Norway, Hungary and United Kingdom. Frequent co-authors include Erik Boye, Paul Nurse, Matthias Sipiczki, Gennaro D’Urso, Trond Stokke, Cathrine R. Carlson, Ida Miklós, Stephen Kearsey, Esben A. Nilssen and Ágnes Grallert. Their work appears in journals such as Journal of Cell Science, PLoS ONE, Cell Cycle, 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.