Frauke Greil
Impact in
- Aging top 10%
- Molecular Biology top 10%
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- Epigenetics and DNA Methylation
- CRISPR and Genetic Engineering
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
Papers in
-
- Genomics and Chromatin Dynamics 8
- RNA and protein synthesis mechanisms 3
- Genomics and Phylogenetic Studies 2
- CRISPR and Genetic Engineering 2
- RNA Research and Splicing 2
- Epigenetics and DNA Methylation 1
-
- Chromosomal and Genetic Variations 6
- Co-authors
- Bas van Steensel (9 shared papers)Elzo de Wit (7 shared papers)Harmen J. Bussemaker (4 shared papers)Celine Moorman (2 shared papers)Kevin P. White (2 shared papers)Peter B. Becker (1 shared paper)Tobias Straub (1 shared paper)Gregor D. Gilfillan (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Genes & Development (2 papers)PLoS Genetics (2 papers)Genetics (1 paper)Methods in enzymology on CD-ROM/Methods in enzymology (1 paper)
- Partner nations
- NetherlandsUnited StatesGermany
In The Last Decade
Frauke Greil
10 papers receiving 946 citations
Peers
Comparison fields: 5 of 48
- Aging 26
- Molecular Biology 871
- Plant Science 333
- Genetics 154
- Cancer Research 29
Countries citing papers authored by Frauke Greil
This map shows the geographic impact of Frauke Greil'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 Frauke Greil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frauke Greil more than expected).
Fields of papers citing papers by Frauke Greil
This network shows the impact of papers produced by Frauke Greil. 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 Frauke Greil. The network helps show where Frauke Greil may publish in the future.
Co-authors
The 24 scholars most cited alongside Frauke Greil, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 155 | |
| 2 | 2003 | 147 | |
| 3 | 2006 | 137 | |
| 4 | 2006 | 119 | |
| 5 | 2007 | 106 | |
| 6 | 2005 | 90 | |
| 7 | 2003 | 65 | |
| 8 | 2008 | 63 | |
| 9 | 2007 | 47 | |
| 10 | 2012 | 28 |
About Frauke Greil
Frauke Greil is a scholar working on Molecular Biology, Plant Science, Genetics, Infectious Diseases and Organic Chemistry, having authored 10 papers that have together received 957 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (8 papers), Chromosomal and Genetic Variations (6 papers), RNA and protein synthesis mechanisms (3 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers), Genomics and Phylogenetic Studies (2 papers), CRISPR and Genetic Engineering (2 papers), RNA Research and Splicing (2 papers) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Aging (26 citations), Molecular Biology (871 citations), Plant Science (333 citations), Genetics (154 citations) and Cancer Research (29 citations). Frauke Greil has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Bas van Steensel, Elzo de Wit, Harmen J. Bussemaker, Celine Moorman, Kevin P. White, Peter B. Becker, Tobias Straub, Gregor D. Gilfillan, James Smothers and Jeffrey J. Delrow. Their work appears in journals such as Proceedings of the National Academy of Sciences, Genes & Development, PLoS Genetics, Genetics and Methods in enzymology on CD-ROM/Methods in enzymology.
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.