Rik Kooke

1.7k total citations
18 papers, 1.2k citations indexed

About

Rik Kooke is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Rik Kooke has authored 18 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 11 papers in Plant Science and 7 papers in Genetics. Recurrent topics in Rik Kooke's work include Plant Molecular Biology Research (8 papers), Genetic Mapping and Diversity in Plants and Animals (7 papers) and Metabolomics and Mass Spectrometry Studies (5 papers). Rik Kooke is often cited by papers focused on Plant Molecular Biology Research (8 papers), Genetic Mapping and Diversity in Plants and Animals (7 papers) and Metabolomics and Mass Spectrometry Studies (5 papers). Rik Kooke collaborates with scholars based in Netherlands, Germany and Japan. Rik Kooke's co-authors include Joost J. B. Keurentjes, Pádraic J. Flood, Frank Becker, Dick Vreugdenhil, Frank Johannes, Willem Kruijer, Vincent Colot, Mathilde Etcheverry, René Wardenaar and Erik Wijnker and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and The Plant Cell.

In The Last Decade

Rik Kooke

17 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Rik Kooke Netherlands 15 648 627 260 77 74 18 1.2k
Yoshiyuki Ogata Japan 21 1.1k 1.8× 1.3k 2.1× 136 0.5× 93 1.2× 60 0.8× 60 2.1k
Camilla Beate Hill Australia 29 1.8k 2.8× 807 1.3× 244 0.9× 56 0.7× 72 1.0× 62 2.3k
Karin Köhl Germany 18 1.1k 1.7× 630 1.0× 118 0.5× 85 1.1× 102 1.4× 38 1.5k
Bonnie S. Watson United States 16 924 1.4× 639 1.0× 65 0.3× 94 1.2× 50 0.7× 27 1.4k
Sabrina Kleeßen Germany 15 424 0.7× 549 0.9× 100 0.4× 26 0.3× 61 0.8× 20 879
Peter Krüger Germany 2 2.2k 3.4× 1.5k 2.4× 145 0.6× 46 0.6× 54 0.7× 3 2.8k
Palak Chaturvedi Austria 22 1.0k 1.5× 577 0.9× 162 0.6× 28 0.4× 42 0.6× 43 1.4k
Yariv Brotman Israel 32 2.1k 3.2× 1.1k 1.8× 342 1.3× 27 0.4× 74 1.0× 84 2.8k
Ramsey S. Lewis United States 23 1.3k 2.0× 717 1.1× 199 0.8× 15 0.2× 31 0.4× 84 1.6k
A. R. Smith United Kingdom 21 1.3k 1.9× 890 1.4× 66 0.3× 89 1.2× 63 0.9× 72 1.8k

Countries citing papers authored by Rik Kooke

Since Specialization
Citations

This map shows the geographic impact of Rik Kooke'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 Rik Kooke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rik Kooke more than expected).

Fields of papers citing papers by Rik Kooke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rik Kooke. 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 Rik Kooke. The network helps show where Rik Kooke may publish in the future.

Co-authorship network of co-authors of Rik Kooke

This figure shows the co-authorship network connecting the top 25 collaborators of Rik Kooke. A scholar is included among the top collaborators of Rik Kooke based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Rik Kooke. Rik Kooke is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Thoen, Manus P. M., Willem Kruijer, Maarten A. Jongsma, et al.. (2024). Bivariate GWA mapping reveals associations between aliphatic glucosinolates and plant responses to thrips and heat stress. The Plant Journal. 120(2). 674–686.
2.
Tsugawa, Hiroshi, Ryo Nakabayashi, Tetsuya Mori, et al.. (2019). A cheminformatics approach to characterize metabolomes in stable-isotope-labeled organisms. Nature Methods. 16(4). 295–298. 208 indexed citations
3.
Kooke, Rik, Justin J. J. van der Hooft, Ric C. H. de Vos, et al.. (2019). A genetical metabolomics approach for bioprospecting plant biosynthetic gene clusters. BMC Research Notes. 12(1). 194–194. 5 indexed citations
4.
Tsugawa, Hiroshi, Ryo Nakabayashi, Tetsuya Mori, et al.. (2019). Publisher Correction: A cheminformatics approach to characterize metabolomes in stable-isotope-labeled organisms. Nature Methods. 16(5). 446–446. 6 indexed citations
5.
Kooke, Rik, Frank Becker, Rashmi R. Hazarika, et al.. (2018). Epigenetic mapping of the Arabidopsis metabolome reveals mediators of the epigenotype-phenotype map. Genome Research. 29(1). 96–106. 31 indexed citations
6.
Wu, Si, Takayuki Tohge, Álvaro Cuadros‐Inostroza, et al.. (2017). Mapping the Arabidopsis Metabolic Landscape by Untargeted Metabolomics at Different Environmental Conditions. Molecular Plant. 11(1). 118–134. 100 indexed citations
7.
Fusari, Corina M., Rik Kooke, Martin A. Lauxmann, et al.. (2017). Genome-Wide Association Mapping Reveals That Specific and Pleiotropic Regulatory Mechanisms Fine-Tune Central Metabolism and Growth in Arabidopsis. The Plant Cell. 29(10). 2349–2373. 23 indexed citations
8.
Wu, Si, Saleh Alseekh, Álvaro Cuadros‐Inostroza, et al.. (2016). Combined Use of Genome-Wide Association Data and Correlation Networks Unravels Key Regulators of Primary Metabolism in Arabidopsis thaliana. PLoS Genetics. 12(10). e1006363–e1006363. 59 indexed citations
9.
Kooke, Rik, Willem Kruijer, Ralph Bours, et al.. (2016). Genome-Wide Association Mapping and Genomic Prediction Elucidate the Genetic Architecture of Morphological Traits in Arabidopsis. PLANT PHYSIOLOGY. 170(4). 2187–2203. 54 indexed citations
10.
Wehrens, Ron, Jos A. Hageman, Fred van Eeuwijk, et al.. (2016). Improved batch correction in untargeted MS-based metabolomics. Metabolomics. 12(5). 88–88. 160 indexed citations
12.
Kooke, Rik, Frank Johannes, René Wardenaar, et al.. (2015). Epigenetic Basis of Morphological Variation and Phenotypic Plasticity inArabidopsis thaliana. The Plant Cell. 27(2). 337–348. 159 indexed citations
13.
Kooke, Rik & Joost J. B. Keurentjes. (2015). Epigenetic variation contributes to environmental adaptation of Arabidopsis thaliana. Plant Signaling & Behavior. 10(9). e1057368–e1057368. 14 indexed citations
14.
Sasidharan, Rashmi, Diederik H. Keuskamp, Rik Kooke, Laurentius A. C. J. Voesenek, & Ronald Pierik. (2014). Interactions between Auxin, Microtubules and XTHs Mediate Green Shade- Induced Petiole Elongation in Arabidopsis. PLoS ONE. 9(3). e90587–e90587. 36 indexed citations
15.
Kruijer, Willem, Martin P. Boer, Marcos Malosetti, et al.. (2014). Marker-Based Estimation of Heritability in Immortal Populations. Genetics. 199(2). 379–398. 137 indexed citations
16.
Barboza, Luis A., Sigi Effgen, Carlos Alonso‐Blanco, et al.. (2013). Arabidopsis semidwarfs evolved from independent mutations in GA20ox1 , ortholog to green revolution dwarf alleles in rice and barley. Proceedings of the National Academy of Sciences. 110(39). 15818–15823. 73 indexed citations
17.
Kooke, Rik, Erik Wijnker, & Joost J. B. Keurentjes. (2012). Backcross Populations and Near Isogenic Lines. Methods in molecular biology. 871. 3–16. 15 indexed citations
18.
Kooke, Rik & Joost J. B. Keurentjes. (2011). Multi-dimensional regulation of metabolic networks shaping plant development and performance. Journal of Experimental Botany. 63(9). 3353–3365. 52 indexed citations

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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