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
- Cancer Research top 10%
Papers in
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- Advanced biosensing and bioanalysis techniques 2
- Protein Degradation and Inhibitors 2
- RNA Interference and Gene Delivery 2
- Retinoids in leukemia and cellular processes 2
- Chromatin Remodeling and Cancer 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)Katrien Berns (1 shared paper)Mandy Madiredjo (1 shared paper)Guy Cavet (1 shared paper)Wei Ge (1 shared paper)
- Journals
- The Journal of Cell Biology (1 paper)Nature Cell Biology (1 paper)Cell Research (1 paper)Journal of Biological Chemistry (1 paper)The Journal of Experimental Medicine (1 paper)
- Partner nations
- NetherlandsUnited StatesSpain
In The Last Decade
Wouter Nijkamp
9 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 80
- Molecular Biology 1.3k
- Cancer Research 264
- Aging 26
- Oncology 401
- Genetics 117
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 | 850 |
| 2 | 2008 | 378 | |
| 3 | 2010 | 144 | |
| 4 | 2009 | 112 | |
| 5 | 2006 | 64 | |
| 6 | 2015 | 29 | |
| 7 | 2011 | 24 | |
| 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 1.6k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (2 papers), Protein Degradation and Inhibitors (2 papers), Neuroblastoma Research and Treatments (2 papers), RNA Interference and Gene Delivery (2 papers), Retinoids in leukemia and cellular processes (2 papers), interferon and immune responses (1 paper), Telomeres, Telomerase, and Senescence (1 paper) and Chromatin Remodeling and Cancer (1 paper). The work is most often cited by research in Molecular Biology (1.3k citations), Cancer Research (264 citations), Aging (26 citations), Oncology (401 citations) and Genetics (117 citations). Wouter Nijkamp has collaborated with scholars based in Netherlands, United States and Spain. Frequent co-authors include René Bernards, Roderick L. Beijersbergen, Reuven Agami, Arno Velds, Katrien Berns, Mandy Madiredjo, Guy Cavet, Wei Ge, Thijn R. Brummelkamp and Ron Kerkhoven. Their work appears in journals such as The Journal of Cell Biology, Nature Cell Biology, Cell Research, Journal of Biological Chemistry and The Journal of Experimental Medicine.
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.