Simon Schafferer
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- RNA Research and Splicing 2
- Metabolomics and Mass Spectrometry Studies 2
- Epigenetics and DNA Methylation 1
- Molecular Biology Techniques and Applications 1
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- MicroRNA in disease regulation 4
- Cancer-related molecular mechanisms research 3
- Cancer, Hypoxia, and Metabolism 1
- Co-authors
- Alexander Hüttenhofer (5 shared papers)Rimpi Khurana (2 shared papers)Gert Mayer (1 shared paper)Michael Rudnicki (1 shared paper)Ronald Gstir (3 shared papers)Mathieu Rederstorff (1 shared paper)Georg Dechant (1 shared paper)Marek Żywicki (1 shared paper)
- Journals
- RNA (2 papers)Biological Psychiatry (1 paper)Archives of Gynecology and Obstetrics (1 paper)Nucleic Acids Research (1 paper)International Journal of Cancer (1 paper)
- Partner nations
- AustriaGermanySwitzerland
In The Last Decade
Simon Schafferer
7 papers receiving 313 citations
Peers
Comparison fields: 5 of 68
- Cancer Research 172
- Nephrology 28
- Molecular Biology 236
- Biological Psychiatry 7
- Developmental Neuroscience 11
Countries citing papers authored by Simon Schafferer
This map shows the geographic impact of Simon Schafferer'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 Simon Schafferer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Schafferer more than expected).
Fields of papers citing papers by Simon Schafferer
This network shows the impact of papers produced by Simon Schafferer. 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 Simon Schafferer. The network helps show where Simon Schafferer may publish in the future.
Co-authors
The 25 scholars most cited alongside Simon Schafferer, 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 | 2016 | 123 | |
| 2 | 2012 | 46 | |
| 3 | 2016 | 45 | |
| 4 | 2018 | 42 | |
| 5 | 2014 | 29 | |
| 6 | 2016 | 27 | |
| 7 | 2022 | 4 |
About Simon Schafferer
Simon Schafferer is a scholar working on Molecular Biology, Cancer Research, Cellular and Molecular Neuroscience, Neurology and Cognitive Neuroscience, having authored 7 papers that have together received 316 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (4 papers), Cancer-related molecular mechanisms research (3 papers), RNA Research and Splicing (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Memory and Neural Mechanisms (1 paper), Epigenetics and DNA Methylation (1 paper), Cancer, Hypoxia, and Metabolism (1 paper) and Molecular Biology Techniques and Applications (1 paper). The work is most often cited by research in Cancer Research (172 citations), Nephrology (28 citations), Molecular Biology (236 citations), Biological Psychiatry (7 citations) and Developmental Neuroscience (11 citations). Simon Schafferer has collaborated with scholars based in Austria, Germany and Switzerland. Frequent co-authors include Alexander Hüttenhofer, Rimpi Khurana, Gert Mayer, Michael Rudnicki, Ronald Gstir, Mathieu Rederstorff, Georg Dechant, Marek Żywicki, Galina Apostolova and Ahmad Salti. Their work appears in journals such as RNA, Biological Psychiatry, Archives of Gynecology and Obstetrics, Nucleic Acids Research and International Journal of Cancer.
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.