Fabian Grubert
Impact in
- Molecular Biology top 5%
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- RNA modifications and cancer
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- Epigenetics and DNA Methylation
- Cancer Research top 5%
Papers in
- Genetics 10
- Genomic variations and chromosomal abnormalities 6
- Genomics and Rare Diseases 3
- Genetic Associations and Epidemiology 2
-
- RNA Research and Splicing 7
- Genomics and Chromatin Dynamics 6
- RNA modifications and cancer 4
- Co-authors
- M SnyderHagen TilgnerDonald SharonMaya KasowskiAlexander E. UrbanSherman M. WeissmanJan O. KorbelDamek V. Spacek
- Journals
- Genome Research (3 papers)Proceedings of the National Academy of Sciences (3 papers)Science (2 papers)PLoS Genetics (2 papers)New Biotechnology (1 paper)
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Fabian Grubert
19 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 118
- Molecular Biology 2.3k
- Cancer Research 448
- Genetics 821
- Plant Science 519
- Immunology 149
Countries citing papers authored by Fabian Grubert
This map shows the geographic impact of Fabian Grubert'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 Fabian Grubert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabian Grubert more than expected).
Fields of papers citing papers by Fabian Grubert
This network shows the impact of papers produced by Fabian Grubert. 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 Fabian Grubert. The network helps show where Fabian Grubert may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Fabian Grubert, 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 | 2025 | 0 | |
| 2 | 2020 | 50 | |
| 3 | 2020 | 113 | |
| 4 | 2016 | 70 | |
| 5 | 2015 | 132 | |
| 6 | 2015 | 212 | |
| 7 | 2014 | 36 | |
| 8 | 2014 | 207 | |
| 9 | 2014 | 177 | |
| 10 | 2013 | 467 | |
| 11 | 2013 | 19 | |
| 12 | 2013 | 245 | |
| 13 | 2012 | 21 | |
| 14 | 2012 | 173 | |
| 15 | 2011 | 223 | |
| 16 | 2010 | 423 | |
| 17 | 2010 | 12 | |
| 18 | 2008 | 105 | |
| 19 | 2008 | 79 | |
| 20 | 2007 | 59 |
About Fabian Grubert
Fabian Grubert is a scholar working on Genetics, Molecular Biology, Cancer Research, Immunology and Allergy and Plant Science, having authored 20 papers that have together received 2.8k indexed citations. Recurring topics across this work include RNA Research and Splicing (7 papers), Genomics and Chromatin Dynamics (6 papers), Genomic variations and chromosomal abnormalities (6 papers), RNA modifications and cancer (4 papers), Genomics and Rare Diseases (3 papers), Chromosomal and Genetic Variations (3 papers), Cancer-related molecular mechanisms research (3 papers) and Genetic Associations and Epidemiology (2 papers). The work is most often cited by research in Molecular Biology (2.3k citations), Cancer Research (448 citations), Genetics (821 citations), Plant Science (519 citations) and Immunology (149 citations). Fabian Grubert has collaborated with scholars based in United States, Germany and France. Frequent co-authors include M Snyder, Hagen Tilgner, Donald Sharon, Maya Kasowski, Alexander E. Urban, Sherman M. Weissman, Jan O. Korbel, Damek V. Spacek, Mark Gerstein and Nastaran Heidari. Their work appears in journals such as Genome Research, Proceedings of the National Academy of Sciences, Science, PLoS Genetics and New Biotechnology.
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.