Kees H. de Jong
Impact in
- Genetics top 10%
- Genomic variations and chromosomal abnormalities
Papers in
-
- Gene expression and cancer classification 6
- Congenital heart defects research 2
- Machine Learning in Bioinformatics 2
- Genetics 5
- Genomic variations and chromosomal abnormalities 3
- Co-authors
- Elena Marchiori (9 shared papers)Aad van der Vaart (7 shared papers)Gerrit A. Meijer (4 shared papers)Bauke Ylstra (4 shared papers)Michèle Sébag (3 shared papers)Bernadette S. de Bakker (4 shared papers)Jaco Hagoort (4 shared papers)Roelof‐Jan Oostra (4 shared papers)
- Journals
- Reproductive Toxicology (2 papers)Science (1 paper)Radiotherapy and Oncology (1 paper)Bioinformatics (1 paper)Oncogene (1 paper)
- Partner nations
- NetherlandsFranceUnited States
In The Last Decade
Kees H. de Jong
18 papers receiving 771 citations
Peers
Comparison fields: 5 of 107
- Genetics 204
- Otorhinolaryngology 17
- Software 19
- Obstetrics and Gynecology 29
- Molecular Biology 267
Countries citing papers authored by Kees H. de Jong
This map shows the geographic impact of Kees H. de Jong'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 Kees H. de Jong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kees H. de Jong more than expected).
Fields of papers citing papers by Kees H. de Jong
This network shows the impact of papers produced by Kees H. de Jong. 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 Kees H. de Jong. The network helps show where Kees H. de Jong may publish in the future.
Co-authors
The 25 scholars most cited alongside Kees H. de Jong, 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 | 2004 | 194 | |
| 2 | 2016 | 151 | |
| 3 | 2020 | 82 | |
| 4 | 2005 | 52 | |
| 5 | 2003 | 52 | |
| 6 | 2018 | 48 | |
| 7 | 2020 | 44 | |
| 8 | 2004 | 43 | |
| 9 | 2012 | 37 | |
| 10 | 2006 | 36 | |
| 11 | Silicone plastination of Biological tissue: Cold-temperature technique - Biodur TM S10/S15 technique and products | 2007 | 18 |
| 12 | 2004 | 17 | |
| 13 | 2004 | 10 | |
| 14 | Finding Clusters using Support Vector Classifiers | 2003 | 8 |
| 15 | 2019 | 5 | |
| 16 | 2022 | 5 | |
| 17 | 2012 | 1 | |
| 18 | Automatic Breakpoint identification and smoothing of array comparative genomic hybridization data | 2004 | 1 |
About Kees H. de Jong
Kees H. de Jong is a scholar working on Molecular Biology, Genetics, Artificial Intelligence, Biomedical Engineering and Surgery, having authored 18 papers that have together received 804 indexed citations. Recurring topics across this work include Gene expression and cancer classification (6 papers), Anatomy and Medical Technology (4 papers), Face and Expression Recognition (3 papers), Genomic variations and chromosomal abnormalities (3 papers), Cancer Genomics and Diagnostics (2 papers), Advanced Proteomics Techniques and Applications (2 papers), Congenital heart defects research (2 papers) and Machine Learning in Bioinformatics (2 papers). The work is most often cited by research in Genetics (204 citations), Otorhinolaryngology (17 citations), Software (19 citations), Obstetrics and Gynecology (29 citations) and Molecular Biology (267 citations). Kees H. de Jong has collaborated with scholars based in Netherlands, France and United States. Frequent co-authors include Elena Marchiori, Aad van der Vaart, Gerrit A. Meijer, Bauke Ylstra, Michèle Sébag, Bernadette S. de Bakker, Jaco Hagoort, Roelof‐Jan Oostra, Antoon F.M. Moorman and Arnoud W. Kastelein. Their work appears in journals such as Reproductive Toxicology, Science, Radiotherapy and Oncology, Bioinformatics and Oncogene.
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.