Jaap Kool
Impact in
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
- Molecular Biology top 10%
- CRISPR and Genetic Engineering
- Genomics and Chromatin Dynamics
- RNA Interference and Gene Delivery
- Epigenetics and DNA Methylation
Papers in
-
- CRISPR and Genetic Engineering 8
- Genomics and Chromatin Dynamics 5
- Epigenetics and DNA Methylation 3
- RNA modifications and cancer 3
- DNA Repair Mechanisms 2
- Advanced biosensing and bioanalysis techniques 2
- Oncology 4
- Cancer-related Molecular Pathways 4
- Co-authors
- Anton Berns (5 shared papers)Anthony G. Uren (8 shared papers)Maarten van Lohuizen (6 shared papers)Lodewyk F.A. Wessels (9 shared papers)Jeroen de Ridder (7 shared papers)Marcel Reinders (4 shared papers)Jos Jonkers (6 shared papers)David J. Adams (6 shared papers)
- Journals
- Oncogene (3 papers)Cancer Research (2 papers)PLoS Computational Biology (2 papers)Bioinformatics (1 paper)Nature Protocols (1 paper)
- Partner nations
- NetherlandsUnited KingdomUnited States
In The Last Decade
Jaap Kool
17 papers receiving 944 citations
Peers
Comparison fields: 5 of 78
- Cancer Research 150
- Molecular Biology 709
- Genetics 243
- Oncology 164
- Aging 10
Countries citing papers authored by Jaap Kool
This map shows the geographic impact of Jaap Kool'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 Jaap Kool with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaap Kool more than expected).
Fields of papers citing papers by Jaap Kool
This network shows the impact of papers produced by Jaap Kool. 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 Jaap Kool. The network helps show where Jaap Kool may publish in the future.
Co-authors
The 25 scholars most cited alongside Jaap Kool, 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 | 2005 | 202 | |
| 2 | 2008 | 140 | |
| 3 | 2009 | 130 | |
| 4 | 2009 | 94 | |
| 5 | 2006 | 82 | |
| 6 | 2003 | 70 | |
| 7 | 2005 | 67 | |
| 8 | 2010 | 34 | |
| 9 | 2011 | 32 | |
| 10 | 2010 | 25 | |
| 11 | 2007 | 19 | |
| 12 | 2013 | 18 | |
| 13 | 2021 | 15 | |
| 14 | Down-regulation of T-STAR, a growth inhibitory protein, after SV40-mediated immortalization. | 2001 | 11 |
| 15 | 2023 | 7 | |
| 16 | 2014 | 7 | |
| 17 | 2005 | 1 |
About Jaap Kool
Jaap Kool is a scholar working on Molecular Biology, Oncology, Genetics, Cancer Research and Immunology, having authored 17 papers that have together received 954 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (8 papers), Genomics and Chromatin Dynamics (5 papers), Cancer-related Molecular Pathways (4 papers), Epigenetics and DNA Methylation (3 papers), RNA modifications and cancer (3 papers), DNA Repair Mechanisms (2 papers), Virus-based gene therapy research (2 papers) and Advanced biosensing and bioanalysis techniques (2 papers). The work is most often cited by research in Cancer Research (150 citations), Molecular Biology (709 citations), Genetics (243 citations), Oncology (164 citations) and Aging (10 citations). Jaap Kool has collaborated with scholars based in Netherlands, United Kingdom and United States. Frequent co-authors include Anton Berns, Anthony G. Uren, Maarten van Lohuizen, Lodewyk F.A. Wessels, Jeroen de Ridder, Marcel Reinders, Jos Jonkers, David J. Adams, Carrol Terleth and Paulien Cornelissen‐Steijger. Their work appears in journals such as Oncogene, Cancer Research, PLoS Computational Biology, Bioinformatics and Nature Protocols.
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.