Philipp Raffeiner
Impact in
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- Epigenetics and DNA Methylation
- Hedgehog Signaling Pathway Studies
- Protein Degradation and Inhibitors
- CRISPR and Genetic Engineering
- Melanoma and MAPK Pathways
- Protein Kinase Regulation and GTPase Signaling
- Ubiquitin and proteasome pathways
Papers in
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- Protein Kinase Regulation and GTPase Signaling 3
- Protein Degradation and Inhibitors 2
- Receptor Mechanisms and Signaling 2
- Metabolism, Diabetes, and Cancer 1
- Chromatin Remodeling and Cancer 1
- Co-authors
- Klaus Bister (5 shared papers)Markus Hartl (4 shared papers)Peter K. Vogt (3 shared papers)Jonathan R. Hart (3 shared papers)Eduard Stefan (5 shared papers)Susan S. Taylor (2 shared papers)Catherine Bell (1 shared paper)Mathieu Courcelles (1 shared paper)
- Journals
- Scientific Reports (2 papers)Proceedings of the National Academy of Sciences (2 papers)Oncotarget (2 papers)Cancers (1 paper)Science Advances (1 paper)
- Partner nations
- AustriaUnited StatesSingapore
In The Last Decade
Philipp Raffeiner
10 papers receiving 323 citations
Peers
Comparison fields: 5 of 57
- Molecular Biology 279
- Cancer Research 46
- Genetics 74
- Oncology 60
- Cell Biology 27
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 | 83 | |
| 2 | 2018 | 51 | |
| 3 | 2013 | 39 | |
| 4 | 2020 | 31 | |
| 5 | 2019 | 26 | |
| 6 | 2014 | 24 | |
| 7 | 2019 | 24 | |
| 8 | 2016 | 19 | |
| 9 | 2020 | 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 327 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), Pancreatic function and diabetes (1 paper), Metabolism, Diabetes, and Cancer (1 paper), Computational Drug Discovery Methods (1 paper), Chromatin Remodeling and Cancer (1 paper) and Cancer-related Molecular Pathways (1 paper). The work is most often cited by research in Molecular Biology (279 citations), Cancer Research (46 citations), Genetics (74 citations), Oncology (60 citations) and Cell Biology (27 citations). Philipp Raffeiner has collaborated with scholars based in Austria, United States and Singapore. Frequent co-authors include Klaus Bister, Markus Hartl, Peter K. Vogt, Jonathan R. Hart, Eduard Stefan, Susan S. Taylor, Catherine Bell, Mathieu Courcelles, Tsan‐Wen Lu and Verena Bachmann. Their work appears in journals such as Scientific Reports, Proceedings of the National Academy of Sciences, Oncotarget, Cancers and Science Advances.
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.