Peter Devilee
Impact in
- Cancer Research top 0.05%
- Cancer Genomics and Diagnostics
- Genetics top 0.01%
- BRCA gene mutations in cancer
- Genomic variations and chromosomal abnormalities
- Genetic Associations and Epidemiology
Papers in
- Genetics 258
- BRCA gene mutations in cancer 208
- Genomic variations and chromosomal abnormalities 63
- Genetic Associations and Epidemiology 47
- Cancer Research 102
- Cancer Genomics and Diagnostics 63
- Co-authors
- Fattaneh A. Tavassoli (1 shared paper)Cees J. Cornelisse (69 shared papers)Jean‐Pierre Bayley (24 shared papers)Peter E.M. Taschner (9 shared papers)Cornelisse Cj (17 shared papers)Curtis C. Harris (1 shared paper)Rama Modali (1 shared paper)Thomas W. Glover (1 shared paper)
- Journals
- Nature Genetics (21 papers)The American Journal of Human Genetics (17 papers)Journal of Medical Genetics (15 papers)Human Mutation (15 papers)Human Molecular Genetics (14 papers)
- Partner nations
- NetherlandsUnited KingdomGermany
In The Last Decade
Peter Devilee
406 papers receiving 46.3k citations
Peter Devilee's Hit Papers
Peers
Comparison fields: 5 of 219
- Cancer Research 11.2k
- Genetics 21.6k
- Pathology and Forensic Medicine 6.6k
- Reproductive Medicine 3.0k
- Oncology 9.2k
Countries citing papers authored by Peter Devilee
This map shows the geographic impact of Peter Devilee'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 Peter Devilee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Devilee more than expected).
Fields of papers citing papers by Peter Devilee
This network shows the impact of papers produced by Peter Devilee. 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 Peter Devilee. The network helps show where Peter Devilee may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Devilee, 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 413 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Identification of the breast cancer susceptibility gene BRCA2 Hit paper breakdown → | 1995 | 2921 |
| 2 | Genetic Heterogeneity and Penetrance Analysis of the BRCA1 and BRCA2 Genes in Breast Cancer Families Hit paper breakdown → | 1998 | 2460 |
| 3 | Mutations in the p53 gene occur in diverse human tumour types Hit paper breakdown → | 1989 | 2456 |
| 4 | Pathology and Genetics of Tumours of the Breast and Female Genital Organs Hit paper breakdown → | 2003 | 2349 |
| 5 | Genome-wide association study identifies novel breast cancer susceptibility loci Hit paper breakdown → | 2007 | 1916 |
| 6 | Localization of a Breast Cancer Susceptibility Gene, BRCA2 , to Chromosome 13q12-13 Hit paper breakdown → | 1994 | 1528 |
| 7 | Mutations in SDHD , a Mitochondrial Complex II Gene, in Hereditary Paraganglioma Hit paper breakdown → | 2000 | 1421 |
| 8 | Association analysis identifies 65 new breast cancer risk loci Hit paper breakdown → | 2017 | 1013 |
| 9 | Large-scale genotyping identifies 41 new loci associated with breast cancer risk Hit paper breakdown → | 2013 | 908 |
| 10 | Polygenic Risk Scores for Prediction of Breast Cancer and Breast Cancer Subtypes Hit paper breakdown → | 2018 | 765 |
| 11 | Gene-Panel Sequencing and the Prediction of Breast-Cancer Risk Hit paper breakdown → | 2015 | 736 |
| 12 | RAD51B in Familial Breast Cancer Hit paper breakdown → | 2016 | 642 |
| 13 | MicroRNA Related Polymorphisms and Breast Cancer Risk Hit paper breakdown → | 2014 | 610 |
| 14 | 2009 | 603 | |
| 15 | Associations of Breast Cancer Risk Factors With Tumor Subtypes: A Pooled Analysis From the Breast Cancer Association Consortium Studies Hit paper breakdown → | 2010 | 575 |
| 16 | 2005 | 520 | |
| 17 | Genome-wide association analysis of more than 120,000 individuals identifies 15 new susceptibility loci for breast cancer Hit paper breakdown → | 2015 | 486 |
| 18 | 2013 | 463 | |
| 19 | Parent-of-origin-specific allelic associations among 106 genomic loci for age at menarche Hit paper breakdown → | 2014 | 458 |
| 20 | Prediction of Breast Cancer Risk Based on Profiling With Common Genetic Variants Hit paper breakdown → | 2015 | 446 |
About Peter Devilee
Peter Devilee is a scholar working on Genetics, Cancer Research, Pathology and Forensic Medicine, Molecular Biology and Oncology, having authored 413 papers that have together received 48.0k indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (208 papers), Genetic factors in colorectal cancer (69 papers), Genomic variations and chromosomal abnormalities (63 papers), Cancer Genomics and Diagnostics (63 papers), Genetic Associations and Epidemiology (47 papers), DNA Repair Mechanisms (40 papers), Adrenal and Paraganglionic Tumors (34 papers) and Genomics and Chromatin Dynamics (29 papers). The work is most often cited by research in Cancer Research (11.2k citations), Genetics (21.6k citations), Pathology and Forensic Medicine (6.6k citations), Reproductive Medicine (3.0k citations) and Oncology (9.2k citations). Peter Devilee has collaborated with scholars based in Netherlands, United Kingdom and Germany. Frequent co-authors include Fattaneh A. Tavassoli, Cees J. Cornelisse, Jean‐Pierre Bayley, Peter E.M. Taschner, Cornelisse Cj, Curtis C. Harris, Rama Modali, Thomas W. Glover, Nancy E. Davidson and John Milburn Jessup. Their work appears in journals such as Nature Genetics, The American Journal of Human Genetics, Journal of Medical Genetics, Human Mutation and Human Molecular Genetics.
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.