Philipp Raffeiner
Impact in
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- Hedgehog Signaling Pathway Studies
- Epigenetics and DNA Methylation
- Protein Degradation and Inhibitors
- CRISPR and Genetic Engineering
- Ubiquitin and proteasome pathways
- Protein Kinase Regulation and GTPase Signaling
- Melanoma and MAPK Pathways
Papers in
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- Protein Kinase Regulation and GTPase Signaling 3
- Protein Degradation and Inhibitors 2
- Receptor Mechanisms and Signaling 2
- RNA modifications and cancer 1
- DNA Repair Mechanisms 1
- Epigenetics and DNA Methylation 1
- Co-authors
- Klaus Bister (5 shared papers)Markus Hartl (4 shared papers)Eduard Stefan (5 shared papers)Peter K. Vogt (3 shared papers)Jonathan R. Hart (3 shared papers)Johanna E. Mayrhofer (3 shared papers)Susan S. Taylor (2 shared papers)Verena Bachmann (2 shared papers)
- Journals
- Oncotarget (2 papers)Proceedings of the National Academy of Sciences (2 papers)Scientific Reports (2 papers)Molecular Oncology (1 paper)Cancers (1 paper)
- Partner nations
- AustriaUnited StatesSingapore
In The Last Decade
Philipp Raffeiner
10 papers receiving 331 citations
Peers
Comparison fields: 5 of 55
- Molecular Biology 272
- Cancer Research 43
- Genetics 70
- Oncology 54
- Cell Biology 26
Countries citing papers authored by Philipp Raffeiner
This map shows the geographic impact of Philipp Raffeiner'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 Philipp Raffeiner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philipp Raffeiner more than expected).
Fields of papers citing papers by Philipp Raffeiner
This network shows the impact of papers produced by Philipp Raffeiner. 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 Philipp Raffeiner. The network helps show where Philipp Raffeiner may publish in the future.
Co-authors
The 25 scholars most cited alongside Philipp Raffeiner, 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 | 84 | |
| 2 | 2018 | 51 | |
| 3 | 2013 | 39 | |
| 4 | 2020 | 33 | |
| 5 | 2019 | 27 | |
| 6 | 2019 | 25 | |
| 7 | 2014 | 24 | |
| 8 | 2020 | 22 | |
| 9 | 2016 | 19 | |
| 10 | 2015 | 11 |
About Philipp Raffeiner
Philipp Raffeiner is a scholar working on Molecular Biology, Cell Biology, Genetics, Cancer Research and Surgery, having authored 10 papers that have together received 335 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (3 papers), Protein Degradation and Inhibitors (2 papers), Receptor Mechanisms and Signaling (2 papers), RNA modifications and cancer (1 paper), Genetics and Neurodevelopmental Disorders (1 paper), Estrogen and related hormone effects (1 paper), DNA Repair Mechanisms (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Molecular Biology (272 citations), Cancer Research (43 citations), Genetics (70 citations), Oncology (54 citations) and Cell Biology (26 citations). Philipp Raffeiner has collaborated with scholars based in Austria, United States and Singapore. Frequent co-authors include Klaus Bister, Markus Hartl, Eduard Stefan, Peter K. Vogt, Jonathan R. Hart, Johanna E. Mayrhofer, Susan S. Taylor, Verena Bachmann, Philipp Tschaikner and Pia Aanstad. Their work appears in journals such as Oncotarget, Proceedings of the National Academy of Sciences, Scientific Reports, Molecular Oncology and Cancers.
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.