Pierre-René Körner
Impact in
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- PARP inhibition in cancer therapy
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- RNA modifications and cancer
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- DNA Repair Mechanisms
- Ubiquitin and proteasome pathways
- CRISPR and Genetic Engineering
Papers in
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- RNA modifications and cancer 4
- RNA and protein synthesis mechanisms 3
- RNA Research and Splicing 3
- Ubiquitin and proteasome pathways 1
- Melanoma and MAPK Pathways 1
- Oncology 2
- Cancer-related Molecular Pathways 1
- Peptidase Inhibition and Analysis 1
- Co-authors
- Reuven Agami (6 shared papers)Peter Haahr (1 shared paper)Ton N. Schumacher (1 shared paper)Jeanine M.L. Roodhart (1 shared paper)Sander Mertens (1 shared paper)Hugo J.G. Snippert (1 shared paper)Thijn R. Brummelkamp (1 shared paper)Lodewyk F.A. Wessels (1 shared paper)
- Journals
- Nature Communications (1 paper)Nucleic Acids Research (1 paper)Molecular Cell (1 paper)Science (1 paper)Oncogene (1 paper)
- Partner nations
- NetherlandsGermanyBelgium
In The Last Decade
Pierre-René Körner
5 papers receiving 91 citations
Pierre-René Körner's Hit Papers
Peers
Comparison fields: 5 of 34
- Oncology 23
- Molecular Biology 60
- Cancer Research 10
- Structural Biology 1
- Toxicology 2
Countries citing papers authored by Pierre-René Körner
This map shows the geographic impact of Pierre-René Körner'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 Pierre-René Körner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pierre-René Körner more than expected).
Fields of papers citing papers by Pierre-René Körner
This network shows the impact of papers produced by Pierre-René Körner. 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 Pierre-René Körner. The network helps show where Pierre-René Körner may publish in the future.
Co-authors
The 25 scholars most cited alongside Pierre-René Körner, 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 | DNA damage induces p53-independent apoptosis through ribosome stalling Hit paper breakdown → | 2024 | 67 |
| 2 | 2022 | 15 | |
| 3 | 2022 | 5 | |
| 4 | 2024 | 4 | |
| 5 | 2022 | 1 | |
| 6 | 2025 | 0 |
About Pierre-René Körner
Pierre-René Körner is a scholar working on Molecular Biology, Oncology, Cell Biology, Cancer Research and Infectious Diseases, having authored 6 papers that have together received 92 indexed citations. Recurring topics across this work include RNA modifications and cancer (4 papers), RNA and protein synthesis mechanisms (3 papers), RNA Research and Splicing (3 papers), Cancer-related Molecular Pathways (1 paper), Ubiquitin and proteasome pathways (1 paper), Cancer Genomics and Diagnostics (1 paper), Melanoma and MAPK Pathways (1 paper) and Peptidase Inhibition and Analysis (1 paper). The work is most often cited by research in Oncology (23 citations), Molecular Biology (60 citations), Cancer Research (10 citations), Structural Biology (1 citation) and Toxicology (2 citations). Pierre-René Körner has collaborated with scholars based in Netherlands, Germany and Belgium. Frequent co-authors include Reuven Agami, Peter Haahr, Ton N. Schumacher, Jeanine M.L. Roodhart, Sander Mertens, Hugo J.G. Snippert, Thijn R. Brummelkamp, Lodewyk F.A. Wessels, Suzanne E. M. van der Horst and Abhijeet Pataskar. Their work appears in journals such as Nature Communications, Nucleic Acids Research, Molecular Cell, Science and Oncogene.
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.