Mathijs Kattenberg
Impact in
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- Genetic Associations and Epidemiology
- Genomic variations and chromosomal abnormalities
- Genomics and Rare Diseases
- Genetic Mapping and Diversity in Plants and Animals
- Genetic and phenotypic traits in livestock
Papers in
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- Peroxisome Proliferator-Activated Receptors 1
- Bioinformatics and Genomic Networks 1
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- Neural Networks and Applications 1
- Co-authors
- Dorret I. Boomsma (5 shared papers)Jouke‐Jan Hottenga (2 shared papers)Alexandros Kanterakis (1 shared paper)Lennart C. Karssen (1 shared paper)Patrick Deelen (1 shared paper)P. Eline Slagboom (1 shared paper)Cornelia M. van Duijn (1 shared paper)Morris A. Swertz (1 shared paper)
- Journals
- Nature Protocols (1 paper)European Journal of Human Genetics (1 paper)Human Mutation (1 paper)VU Research Portal (1 paper)SCRIPTed A Journal of Law Technology & Society (2 papers)
- Partner nations
- NetherlandsUnited StatesAustralia
In The Last Decade
Mathijs Kattenberg
6 papers receiving 130 citations
Peers
Comparison fields: 5 of 56
- Genetics 55
- Health Informatics 2
- Cancer Research 15
- Experimental and Cognitive Psychology 10
- Behavioral Neuroscience 2
Countries citing papers authored by Mathijs Kattenberg
This map shows the geographic impact of Mathijs Kattenberg'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 Mathijs Kattenberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathijs Kattenberg more than expected).
Fields of papers citing papers by Mathijs Kattenberg
This network shows the impact of papers produced by Mathijs Kattenberg. 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 Mathijs Kattenberg. The network helps show where Mathijs Kattenberg may publish in the future.
Co-authors
The 25 scholars most cited alongside Mathijs Kattenberg, 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 | 2015 | 70 | |
| 2 | 2012 | 38 | |
| 3 | 2011 | 17 | |
| 4 | 2016 | 4 | |
| 5 | 2016 | 3 | |
| 6 | 2016 | 1 |
About Mathijs Kattenberg
Mathijs Kattenberg is a scholar working on Molecular Biology, Artificial Intelligence, Public Health, Environmental and Occupational Health, Genetics and Sociology and Political Science, having authored 6 papers that have together received 133 indexed citations. Recurring topics across this work include Ethics in Clinical Research (2 papers), Autism Spectrum Disorder Research (1 paper), Genetics and Neurodevelopmental Disorders (1 paper), Peroxisome Proliferator-Activated Receptors (1 paper), Bioinformatics and Genomic Networks (1 paper), Biomedical Ethics and Regulation (1 paper), Music and Audio Processing (1 paper) and Neural Networks and Applications (1 paper). The work is most often cited by research in Genetics (55 citations), Health Informatics (2 citations), Cancer Research (15 citations), Experimental and Cognitive Psychology (10 citations) and Behavioral Neuroscience (2 citations). Mathijs Kattenberg has collaborated with scholars based in Netherlands, United States and Australia. Frequent co-authors include Dorret I. Boomsma, Jouke‐Jan Hottenga, Alexandros Kanterakis, Lennart C. Karssen, Patrick Deelen, P. Eline Slagboom, Cornelia M. van Duijn, Morris A. Swertz, Cisca Wijmenga and Paul I. W. de Bakker. Their work appears in journals such as Nature Protocols, European Journal of Human Genetics, Human Mutation, VU Research Portal and SCRIPTed A Journal of Law Technology & Society.
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.