Wouter Nijkamp
Impact in
- Molecular Biology top 5%
- RNA Interference and Gene Delivery
- CRISPR and Genetic Engineering
- Advanced biosensing and bioanalysis techniques
- PI3K/AKT/mTOR signaling in cancer
- RNA and protein synthesis mechanisms
- Cancer Research top 10%
Papers in
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- Protein Degradation and Inhibitors 2
- Retinoids in leukemia and cellular processes 2
- RNA Interference and Gene Delivery 2
- Advanced biosensing and bioanalysis techniques 2
- Epigenetics and DNA Methylation 1
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- Neuroblastoma Research and Treatments 2
- Co-authors
- René Bernards (6 shared papers)Roderick L. Beijersbergen (8 shared papers)Reuven Agami (2 shared papers)Arno Velds (3 shared papers)Thijn R. Brummelkamp (1 shared paper)Peter S. Linsley (1 shared paper)Jasper Mullenders (1 shared paper)Wei Ge (1 shared paper)
- Journals
- Cell Research (1 paper)The Journal of Cell Biology (1 paper)Nature Cell Biology (1 paper)Cell (1 paper)Molecular and Cellular Biology (1 paper)
- Partner nations
- NetherlandsUnited StatesAustria
In The Last Decade
Wouter Nijkamp
9 papers receiving 1.6k citations
Wouter Nijkamp's Hit Papers
Peers
Comparison fields: 5 of 81
- Molecular Biology 1.3k
- Cancer Research 232
- Oncology 379
- Aging 26
- Neurology 148
Countries citing papers authored by Wouter Nijkamp
This map shows the geographic impact of Wouter Nijkamp'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 Wouter Nijkamp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wouter Nijkamp more than expected).
Fields of papers citing papers by Wouter Nijkamp
This network shows the impact of papers produced by Wouter Nijkamp. 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 Wouter Nijkamp. The network helps show where Wouter Nijkamp may publish in the future.
Co-authors
The 25 scholars most cited alongside Wouter Nijkamp, 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 | A large-scale RNAi screen in human cells identifies new components of the p53 pathway Hit paper breakdown → | 2004 | 880 |
| 2 | 2008 | 397 | |
| 3 | 2010 | 158 | |
| 4 | 2009 | 115 | |
| 5 | 2006 | 67 | |
| 6 | 2015 | 30 | |
| 7 | 2011 | 25 | |
| 8 | 2013 | 21 | |
| 9 | 2011 | 1 |
About Wouter Nijkamp
Wouter Nijkamp is a scholar working on Molecular Biology, Neurology, Genetics, Pathology and Forensic Medicine and Ophthalmology, having authored 9 papers that have together received 1.7k indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (2 papers), Retinoids in leukemia and cellular processes (2 papers), RNA Interference and Gene Delivery (2 papers), Neuroblastoma Research and Treatments (2 papers), Advanced biosensing and bioanalysis techniques (2 papers), Cancer Mechanisms and Therapy (1 paper), Epigenetics and DNA Methylation (1 paper) and Telomeres, Telomerase, and Senescence (1 paper). The work is most often cited by research in Molecular Biology (1.3k citations), Cancer Research (232 citations), Oncology (379 citations), Aging (26 citations) and Neurology (148 citations). Wouter Nijkamp has collaborated with scholars based in Netherlands, United States and Austria. Frequent co-authors include René Bernards, Roderick L. Beijersbergen, Reuven Agami, Arno Velds, Thijn R. Brummelkamp, Peter S. Linsley, Jasper Mullenders, Wei Ge, Katrien Berns and Guy Cavet. Their work appears in journals such as Cell Research, The Journal of Cell Biology, Nature Cell Biology, Cell and Molecular and Cellular Biology.
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.