Gregor Rot
Impact in
Papers in
-
- RNA Research and Splicing 16
- RNA modifications and cancer 10
- RNA and protein synthesis mechanisms 7
- Gene expression and cancer classification 1
-
- Cancer-related molecular mechanisms research 3
- Co-authors
- Tomaž Curk (14 shared papers)Blaž Zupan (13 shared papers)Jernej Ule (13 shared papers)Melis Kayikci (6 shared papers)Kathi Zarnack (5 shared papers)Nicholas M. Luscombe (4 shared papers)Julian König (2 shared papers)Daniel J. Turner (1 shared paper)
- Journals
- PLoS Biology (2 papers)Genome biology (2 papers)Journal of Visualized Experiments (2 papers)Scientific Reports (1 paper)Nature Plants (1 paper)
- Partner nations
- SloveniaUnited KingdomSwitzerland
In The Last Decade
Gregor Rot
23 papers receiving 3.2k citations
Gregor Rot's Hit Papers
Peers
Comparison fields: 5 of 100
- Neurology 747
- Genetics 511
- Molecular Biology 2.6k
- Cancer Research 526
- Aging 29
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-authors
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
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | iCLIP reveals the function of hnRNP particles in splicing at individual nucleotide resolution Hit paper breakdown → | 2010 | 898 |
| 2 | Characterizing the RNA targets and position-dependent splicing regulation by TDP-43 Hit paper breakdown → | 2011 | 897 |
| 3 | 2012 | 210 | |
| 4 | 2010 | 193 | |
| 5 | 2011 | 189 | |
| 6 | 2011 | 165 | |
| 7 | 2010 | 149 | |
| 8 | 2019 | 99 | |
| 9 | 2012 | 85 | |
| 10 | 2017 | 71 | |
| 11 | 2009 | 63 | |
| 12 | 2013 | 56 | |
| 13 | 2014 | 38 | |
| 14 | 2011 | 33 | |
| 15 | 2011 | 32 | |
| 16 | 2011 | 14 | |
| 17 | 2013 | 12 | |
| 18 | 2022 | 7 | |
| 19 | 2021 | 5 | |
| 20 | 2024 | 4 |
About Gregor Rot
Gregor Rot is a scholar working on Molecular Biology, Cancer Research, Neurology, Ecology and Rheumatology, having authored 26 papers that have together received 3.2k indexed citations. Recurring topics across this work include RNA Research and Splicing (16 papers), RNA modifications and cancer (10 papers), RNA and protein synthesis mechanisms (7 papers), Cancer-related molecular mechanisms research (3 papers), Cellular Mechanics and Interactions (2 papers), Amyotrophic Lateral Sclerosis Research (2 papers), Genetics and Neurodevelopmental Disorders (1 paper) and Gene expression and cancer classification (1 paper). The work is most often cited by research in Neurology (747 citations), Genetics (511 citations), Molecular Biology (2.6k citations), Cancer Research (526 citations) and Aging (29 citations). Gregor Rot has collaborated with scholars based in Slovenia, United Kingdom and Switzerland. Frequent co-authors include Tomaž Curk, Blaž Zupan, Jernej Ule, Melis Kayikci, Kathi Zarnack, Nicholas M. Luscombe, Julian König, Daniel J. Turner, Boris Rogelj and Michael Briese. Their work appears in journals such as PLoS Biology, Genome biology, Journal of Visualized Experiments, Scientific Reports and Nature Plants.
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.