Jaap Kool

1.2k citations

15 papers · 930 indexed · h-index 12

Impact in

Molecular Biology top 10%
- CRISPR and Genetic Engineering
- Genomics and Chromatin Dynamics
- RNA Interference and Gene Delivery
- Epigenetics and DNA Methylation
- RNA modifications and cancer
Cancer Research top 10%
- Cancer Genomics and Diagnostics

Papers in ⓘ

Molecular Biology 15
- CRISPR and Genetic Engineering 9
- Genomics and Chromatin Dynamics 5
- RNA modifications and cancer 3
- Epigenetics and DNA Methylation 3
- Advanced biosensing and bioanalysis techniques 2
- DNA Repair Mechanisms 2
Genetics 5
- Virus-based gene therapy research 2

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)David J. Adams (6 shared papers)Jos Jonkers (6 shared papers)
Journals: Oncogene (3 papers)PLoS Computational Biology (2 papers)Cancer Research (2 papers)Nature reviews. Cancer (1 paper)Bioinformatics (1 paper)
Partner nations: Netherlands United Kingdom United States

In The Last Decade

Jaap Kool

15 papers receiving 921 citations

Peers

Countries citing papers authored by Jaap Kool

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Jaap Kool Line = papers co-authored together Jaap Kool links everyone, so they are left out of the graph.

All Works

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15 of 15 papers shown

#	Work
1	Retroviral insertional mutagenesis: past, present and future Oncogene ·Anthony G. Uren, Jaap Kool, Anton Berns, Maarten van Lohuizen	2005	201
2	Large-Scale Mutagenesis in p19ARF- and p53-Deficient Mice Identifies Cancer Genes and Their Collaborative Networks Cell ·Anthony G. Uren, Jaap Kool, Konstantin Matentzoglu, Jeroen de Ridder, Jenny Mattison, Miranda van Uitert, Wendy Lagcher, Daoud Sie, Ellen Tanger, Tony Cox, Marcel Reinders, Tim Hubbard, Jane Rogers, Jos Jonkers, Lodewyk F.A. Wessels, David J. Adams, Maarten van Lohuizen, Anton Berns	2008	140
3	A high-throughput splinkerette-PCR method for the isolation and sequencing of retroviral insertion sites Nature Protocols ·Anthony G. Uren, Harald Mikkers, Jaap Kool, Louise van der Weyden, Anders H. Lund, Catherine H. Wilson, Richard Rance, Jos Jonkers, Maarten van Lohuizen, Anton Berns, David J. Adams	2009	129
4	High-throughput insertional mutagenesis screens in mice to identify oncogenic networks Nature reviews. Cancer ·Jaap Kool, Anton Berns	2009	94
5	Detecting Statistically Significant Common Insertion Sites in Retroviral Insertional Mutagenesis Screens PLoS Computational Biology ·Jeroen de Ridder, Anthony G. Uren, Jaap Kool, Marcel Reinders, Lodewyk F.A. Wessels	2006	82
6	Induction of ATF3 by ionizing radiation is mediated via a signaling pathway that includes ATM, Nibrin1, stress-induced MAPkinases and ATF-2 Oncogene ·Jaap Kool, Mohamed Hamdi, Paulien Cornelissen‐Steijger, Alex J. van der Eb, Carrol Terleth, Hans van Dam	2003	70
7	DNA damage in transcribed genes induces apoptosis via the JNK pathway and the JNK-phosphatase MKP-1 Oncogene ·Mohamed Hamdi, Jaap Kool, Paulien Cornelissen‐Steijger, Françoise Carlotti, Herman E. Popeijus, Corina van der Burgt, Josephine M. Janssen, Akira Yasui, Rob C. Hoeben, Carrol Terleth, Leon H.F. Mullenders, Hans van Dam	2005	67
8	Novel Candidate Cancer Genes Identified by a Large-Scale Cross-Species Comparative Oncogenomics Approach Cancer Research ·Jenny Mattison, Jaap Kool, Anthony G. Uren, Jeroen de Ridder, Lodewyk F.A. Wessels, Jos Jonkers, Graham R. Bignell, Adam P. Butler, Alistair G. Rust, Mario Brosch, Catherine H. Wilson, Louise van der Weyden, David A. Largaespada, Michael R. Stratton, P. Andy Futreal, Maarten van Lohuizen, Anton Berns, Lara S. Collier, Tim Hubbard, David J. Adams	2010	34
9	High-throughput semiquantitative analysis of insertional mutations in heterogeneous tumors Genome Research ·Marco J. Koudijs, Christiaan Klijn, Louise van der Weyden, Jaap Kool, Jelle ten Hoeve, Daoud Sie, Pramudita R. Prasetyanti, Eva Schut, Sjors M. Kas, Theodore Whipp, Edwin Cuppen, Lodewyk F.A. Wessels, David J. Adams, Jos Jonkers	2011	32
10	Insertional Mutagenesis in Mice Deficient for p15Ink4b, p16Ink4a, p21Cip1 , and p27Kip1 Reveals Cancer Gene Interactions and Correlations with Tumor Phenotypes Cancer Research ·Jaap Kool, Anthony G. Uren, Carla P. Martins, Daoud Sie, Jeroen de Ridder, Geoffrey Turner, Miranda van Uitert, Konstantin Matentzoglu, Wendy Lagcher, Paul Krimpenfort, Jules Gadiot, Colin E.J. Pritchard, Jack Lenz, Anders H. Lund, Jos Jonkers, Jane Rogers, David J. Adams, Lodewyk F.A. Wessels, Anton Berns, Maarten van Lohuizen	2010	25
11	Co-occurrence analysis of insertional mutagenesis data reveals cooperating oncogenes Bioinformatics ·Jeroen de Ridder, Jaap Kool, Anthony G. Uren, Jan Bot, Lodewyk F.A. Wessels, Marcel Reinders	2007	19
12	Analysis of Tumor Heterogeneity and Cancer Gene Networks Using Deep Sequencing of MMTV-Induced Mouse Mammary Tumors PLoS ONE ·Christiaan Klijn, Marco J. Koudijs, Jaap Kool, Jelle ten Hoeve, Mandy Boer, J. de Moes, Waseem Akhtar, Martine van Miltenburg, Annabel Vendel-Zwaagstra, Marcel Reinders, David J. Adams, Maarten van Lohuizen, John Hilkens, Lodewyk F.A. Wessels, Jos Jonkers	2013	18
13	Down-regulation of T-STAR, a growth inhibitory protein, after SV40-mediated immortalization. PubMed ·Jaap Kool, W. van Zaane, A.J. van der Eb, Carrol Terleth	2001	11
14	Identifying regulatory mechanisms underlying tumorigenesis using locus expression signature analysis Proceedings of the National Academy of Sciences ·Eunjee Lee, Jeroen de Ridder, Jaap Kool, Lodewyk F.A. Wessels, Harmen J. Bussemaker	2014	7
15	Detecting Statistically Significant Common Insertion Sites in Retroviral Insertional Mutagenesis Screens PLoS Computational Biology ·Jeroen de Ridder, Anthony G. Uren, Jaap Kool, Marcel J.T. Reinders, Lodewyk F.A. Wessels	2005	1

About Jaap Kool

Jaap Kool is a scholar working on Molecular Biology, Genetics, Oncology, Cancer Research and Genetics, having authored 15 papers that have together received 930 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (9 papers), Genomics and Chromatin Dynamics (5 papers), Cancer-related Molecular Pathways (4 papers), RNA modifications and cancer (3 papers), Epigenetics and DNA Methylation (3 papers), Advanced biosensing and bioanalysis techniques (2 papers), DNA Repair Mechanisms (2 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Molecular Biology (760 citations), Cancer Research (165 citations), Genetics (263 citations), Oncology (170 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, David J. Adams, Jos Jonkers, Carrol Terleth and Hans van Dam. Their work appears in journals such as Oncogene, PLoS Computational Biology, Cancer Research, Nature reviews. Cancer and Bioinformatics.

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.

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