Marcel Kool
Impact in
- Genetics top 0.01%
- Glioma Diagnosis and Treatment
- Cancer Research top 0.05%
- Cancer Genomics and Diagnostics
Papers in
- Genetics 262
- Glioma Diagnosis and Treatment 261
-
- Cancer Genomics and Diagnostics 39
- Co-authors
- Piet Borst (14 shared papers)Raymond Evers (5 shared papers)Jan Wijnholds (3 shared papers)Stefan M. Pfister (86 shared papers)Frank Baas (13 shared papers)Andrey Korshunov (43 shared papers)Rik J. Scheper (11 shared papers)Marcel de Haas (6 shared papers)
- Journals
- Acta Neuropathologica (65 papers)Neuro-Oncology (50 papers)Nature Communications (24 papers)Nature (23 papers)Cancer Cell (16 papers)
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
Marcel Kool
410 papers receiving 63.8k citations
Marcel Kool's Hit Papers
Peers
Comparison fields: 5 of 178
- Genetics 23.7k
- Cancer Research 9.9k
- Oncology 10.7k
- Molecular Biology 15.7k
- Genetics 3.9k
Countries citing papers authored by Marcel Kool
This map shows the geographic impact of Marcel 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 Marcel Kool with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcel Kool more than expected).
Fields of papers citing papers by Marcel Kool
This network shows the impact of papers produced by Marcel 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 Marcel Kool. The network helps show where Marcel Kool may publish in the future.
Co-authors
The 25 scholars most cited alongside Marcel 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
Showing the 20 most-cited of 423 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Signatures of mutational processes in human cancer Hit paper breakdown → | 2013 | 7666 |
| 2 | The repertoire of mutational signatures in human cancer Hit paper breakdown → | 2020 | 2401 |
| 3 | DNA methylation-based classification of central nervous system tumours Hit paper breakdown → | 2018 | 2219 |
| 4 | Pan-cancer analysis of whole genomes Hit paper breakdown → | 2020 | 2169 |
| 5 | Driver mutations in histone H3.3 and chromatin remodelling genes in paediatric glioblastoma Hit paper breakdown → | 2012 | 2087 |
| 6 | Hotspot Mutations in H3F3A and IDH1 Define Distinct Epigenetic and Biological Subgroups of Glioblastoma Hit paper breakdown → | 2012 | 1522 |
| 7 | Molecular subgroups of medulloblastoma: the current consensus Hit paper breakdown → | 2011 | 1493 |
| 8 | A Family of Drug Transporters: the Multidrug Resistance-Associated Proteins Hit paper breakdown → | 2000 | 1477 |
| 9 | The landscape of genomic alterations across childhood cancers Hit paper breakdown → | 2018 | 1176 |
| 10 | Molecular Classification of Ependymal Tumors across All CNS Compartments, Histopathological Grades, and Age Groups Hit paper breakdown → | 2015 | 915 |
| 11 | The whole-genome landscape of medulloblastoma subtypes Hit paper breakdown → | 2017 | 852 |
| 12 | K27M mutation in histone H3.3 defines clinically and biologically distinct subgroups of pediatric diffuse intrinsic pontine gliomas Hit paper breakdown → | 2012 | 816 |
| 13 | Molecular subgroups of medulloblastoma: an international meta-analysis of transcriptome, genetic aberrations, and clinical data of WNT, SHH, Group 3, and Group 4 medulloblastomas Hit paper breakdown → | 2012 | 808 |
| 14 | Analysis of expression of cMOAT (MRP2), MRP3, MRP4, and MRP5, homologues of the multidrug resistance-associated protein gene (MRP1), in human cancer cell lines. Hit paper breakdown → | 1997 | 776 |
| 15 | Subgroup-specific structural variation across 1,000 medulloblastoma genomes Hit paper breakdown → | 2012 | 735 |
| 16 | The evolutionary history of 2,658 cancers Hit paper breakdown → | 2020 | 730 |
| 17 | New Brain Tumor Entities Emerge from Molecular Classification of CNS-PNETs Hit paper breakdown → | 2016 | 728 |
| 18 | Dissecting the genomic complexity underlying medulloblastoma Hit paper breakdown → | 2012 | 705 |
| 19 | Genome Sequencing of Pediatric Medulloblastoma Links Catastrophic DNA Rearrangements with TP53 Mutations Hit paper breakdown → | 2012 | 693 |
| 20 | Recurrent somatic alterations of FGFR1 and NTRK2 in pilocytic astrocytoma Hit paper breakdown → | 2013 | 659 |
About Marcel Kool
Marcel Kool is a scholar working on Genetics, Cancer Research, Molecular Biology, Oncology and Pulmonary and Respiratory Medicine, having authored 423 papers that have together received 64.9k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (261 papers), Chromatin Remodeling and Cancer (48 papers), Cancer Genomics and Diagnostics (39 papers), Drug Transport and Resistance Mechanisms (19 papers), Hedgehog Signaling Pathway Studies (17 papers), Viral Infectious Diseases and Gene Expression in Insects (16 papers), Sarcoma Diagnosis and Treatment (14 papers) and Epigenetics and DNA Methylation (8 papers). The work is most often cited by research in Genetics (23.7k citations), Cancer Research (9.9k citations), Oncology (10.7k citations), Molecular Biology (15.7k citations) and Genetics (3.9k citations). Marcel Kool has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Piet Borst, Raymond Evers, Jan Wijnholds, Stefan M. Pfister, Frank Baas, Andrey Korshunov, Rik J. Scheper, Marcel de Haas, George L. Scheffer and Yoon‐Jae Cho. Their work appears in journals such as Acta Neuropathologica, Neuro-Oncology, Nature Communications, Nature and Cancer Cell.
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.