Gregor Rot
- Genetics top 2%
- Neurology top 2%
- Amyotrophic Lateral Sclerosis Research 2
- Molecular Biology top 2%
- RNA Research and Splicing 15
- RNA modifications and cancer 10
- RNA and protein synthesis mechanisms 8
- Gene expression and cancer classification 3
- Bioinformatics and Genomic Networks 2
- Cancer Research top 5%
- Cancer-related molecular mechanisms research 3
- Aging top 10%
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- Cellular Mechanics and Interactions 2
- Co-authors
- Tomaž CurkBlaž ZupanJernej UleMelis KayikciKathi ZarnackNicholas M. LuscombeJulian KönigDaniel J. Turner
- Cited by
- GeneticsNeurologyMolecular Biology
- Journals
- Journal of Visualized Experiments (2 papers)PLoS Biology (2 papers)Genome biology (2 papers)
- Partner nations
- SloveniaUnited KingdomUnited States
In The Last Decade
Gregor Rot
23 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Genetics 516
- Neurology 726
- Molecular Biology 2.7k
- Cancer Research 527
- Aging 31
Countries citing papers authored by Gregor Rot
This map shows the geographic impact of Gregor Rot'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 Gregor Rot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregor Rot more than expected).
Fields of papers citing papers by Gregor Rot
This network shows the impact of papers produced by Gregor Rot. 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 Gregor Rot. The network helps show where Gregor Rot may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gregor Rot, 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 | 2024 | 3 | |
| 2 | 2022 | 7 | |
| 3 | 2022 | 1 | |
| 4 | 2021 | 3 | |
| 5 | 2019 | 92 | |
| 6 | 2018 | 2 | |
| 7 | 2017 | 67 | |
| 8 | 2013 | 51 | |
| 9 | 2013 | 10 | |
| 10 | 2012 | 84 | |
| 11 | 2012 | 206 | |
| 12 | 2011 | 160 | |
| 13 | 2011 | 186 | |
| 14 | 2011 | 30 | |
| 15 | Characterizing the RNA targets and position-dependent splicing regulation by TDP-43breakdown → | 2011 | 859 |
| 16 | 2011 | 33 | |
| 17 | 2010 | 139 | |
| 18 | iCLIP reveals the function of hnRNP particles in splicing at individual nucleotide resolutionbreakdown → | 2010 | 879 |
| 19 | 2010 | 187 | |
| 20 | 2009 | 61 |
About Gregor Rot
Gregor Rot is a scholar working on Aging, Biophysics and Molecular Biology, having authored 24 papers that have together received 3.1k indexed citations. Recurring topics across this work include RNA Research and Splicing (15 papers), RNA modifications and cancer (10 papers), RNA and protein synthesis mechanisms (8 papers), Cancer-related molecular mechanisms research (3 papers), Gene expression and cancer classification (3 papers), Bioinformatics and Genomic Networks (2 papers), Cellular Mechanics and Interactions (2 papers) and Amyotrophic Lateral Sclerosis Research (2 papers). The work is most often cited by research in Genetics (516 citations), Neurology (726 citations) and Molecular Biology (2.7k citations). Gregor Rot has collaborated with scholars based in Slovenia, United Kingdom and United States. Frequent co-authors include Tomaž Curk, Blaž Zupan, Jernej Ule, Melis Kayikci, Kathi Zarnack, Nicholas M. Luscombe, Julian König, Daniel J. Turner, Michael Briese and Boris Rogelj. Their work appears in journals such as Journal of Visualized Experiments, PLoS Biology, Genome biology, Scientific Reports and Current Biology.
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.