Chris Maliepaard

7.6k total citations
101 papers, 4.3k citations indexed

About

Chris Maliepaard is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Chris Maliepaard has authored 101 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Plant Science, 42 papers in Genetics and 34 papers in Molecular Biology. Recurrent topics in Chris Maliepaard's work include Genetic Mapping and Diversity in Plants and Animals (38 papers), Plant Pathogens and Resistance (26 papers) and Plant Disease Resistance and Genetics (22 papers). Chris Maliepaard is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (38 papers), Plant Pathogens and Resistance (26 papers) and Plant Disease Resistance and Genetics (22 papers). Chris Maliepaard collaborates with scholars based in Netherlands, United Kingdom and United States. Chris Maliepaard's co-authors include Richard G. F. Visser, Roeland E. Voorrips, J.W. van Ooijen, Peter M. Bourke, Martin P. Boer, J. Jansen, R.J. Bino, Ritsert C. Jansen, J. W. Van Ooijen and H. A. Verhoeven and has published in prestigious journals such as Bioinformatics, PLoS ONE and PLANT PHYSIOLOGY.

In The Last Decade

Chris Maliepaard

99 papers receiving 4.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chris Maliepaard Netherlands 35 2.8k 1.7k 889 326 309 101 4.3k
Li Huang China 38 3.1k 1.1× 1.5k 0.9× 439 0.5× 66 0.2× 127 0.4× 160 4.8k
Daowen Wang China 44 5.5k 2.0× 3.3k 2.0× 659 0.7× 127 0.4× 79 0.3× 181 7.3k
Fabrizio De Mattia Italy 31 602 0.2× 1.4k 0.8× 347 0.4× 440 1.3× 117 0.4× 63 2.8k
Dandan Liu China 34 1.8k 0.7× 1.5k 0.9× 241 0.3× 307 0.9× 47 0.2× 180 4.0k
Jinsheng Lai China 49 5.6k 2.1× 3.6k 2.2× 1.9k 2.1× 115 0.4× 140 0.5× 158 7.6k
Yàn Liú China 33 1.8k 0.7× 1.2k 0.7× 260 0.3× 156 0.5× 91 0.3× 179 3.3k
Henk J. Schouten Netherlands 37 2.8k 1.0× 1.6k 1.0× 314 0.4× 156 0.5× 113 0.4× 111 3.9k
Liqing Zhang United States 32 1.2k 0.4× 2.4k 1.4× 574 0.6× 151 0.5× 30 0.1× 132 4.1k

Countries citing papers authored by Chris Maliepaard

Since Specialization
Citations

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

Fields of papers citing papers by Chris Maliepaard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chris Maliepaard

This figure shows the co-authorship network connecting the top 25 collaborators of Chris Maliepaard. A scholar is included among the top collaborators of Chris Maliepaard 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 Chris Maliepaard. Chris Maliepaard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Bourke, Peter M., Miaomiao Lin, Leiming Sun, et al.. (2024). QTL mapping of fruit quality traits in tetraploid kiwiberry (Actinidia arguta). Horticultural Plant Journal. 11(3). 1090–1102. 2 indexed citations
2.
3.
Visser, Richard G. F., et al.. (2023). Construction of a strawberry breeding core collection to capture and exploit genetic variation. BMC Genomics. 24(1). 740–740. 5 indexed citations
4.
Bourke, Peter M., Roeland E. Voorrips, Christine A. Hackett, et al.. (2021). Detecting quantitative trait loci and exploring chromosomal pairing in autopolyploids using polyqtlR. Bioinformatics. 37(21). 3822–3829. 15 indexed citations
5.
Bueren, E. Lammerts Van, Sjefke Allefs, Peter G. Vos, et al.. (2021). Association Mapping of Physiological and Morphological Traits Related to Crop Development under Contrasting Nitrogen Inputs in a Diverse Set of Potato Cultivars. Plants. 10(8). 1727–1727. 8 indexed citations
6.
Motazedi, Ehsan, Dick de Ridder, Richard Finkers, et al.. (2018). TriPoly: haplotype estimation for polyploids using sequencing data of related individuals. Bioinformatics. 34(22). 3864–3872. 16 indexed citations
7.
Bourke, Peter M., Geert van Geest, Roeland E. Voorrips, et al.. (2018). polymapR—linkage analysis and genetic map construction from F1 populations of outcrossing polyploids. Bioinformatics. 34(20). 3496–3502. 65 indexed citations
8.
Acharjee, Animesh, Bjorn Kloosterman, Antoine H. P. America, et al.. (2018). Genetical genomics of quality related traits in potato tubers using proteomics. BMC Plant Biology. 18(1). 20–20. 15 indexed citations
9.
Geest, Geert van, Peter M. Bourke, Roeland E. Voorrips, et al.. (2017). An ultra-dense integrated linkage map for hexaploid chrysanthemum enables multi-allelic QTL analysis. Theoretical and Applied Genetics. 130(12). 2527–2541. 44 indexed citations
10.
Bourke, Peter M., et al.. (2016). Integrating haplotype-specific linkage maps in tetraploid species using SNP markers. Theoretical and Applied Genetics. 129(11). 2211–2226. 23 indexed citations
11.
Basnet, Ram Kumar, Dong Xiao, Johan Bucher, et al.. (2015). Quantitative Trait Locus Analysis of Seed Germination and Seedling Vigor in Brassica rapa Reveals QTL Hotspots and Epistatic Interactions. Frontiers in Plant Science. 6. 1032–1032. 29 indexed citations
12.
Hennig, K, Ric C. H. de Vos, Chris Maliepaard, et al.. (2014). A metabolomics approach to identify factors influencing glucosinolate thermal degradation rates in Brassica vegetables. Food Chemistry. 155. 287–297. 34 indexed citations
13.
Verhulst, Niels O., Yu Tong Qiu, Chris Maliepaard, et al.. (2013). Relation between HLA genes, human skin volatiles and attractiveness of humans to malaria mosquitoes. Infection Genetics and Evolution. 18. 87–93. 36 indexed citations
14.
15.
Bastiaansen, J.W.M., et al.. (2010). QTLMAS 2009: simulated dataset. BMC Proceedings. 4(S1). S3–S3. 18 indexed citations
16.
Maliepaard, Chris, et al.. (2010). Comparison of analyses of the QTLMAS XIII common dataset. II: QTL analysis. BMC Proceedings. 4(S1). S2–S2. 1 indexed citations
17.
Champouret, Nicolas, Klaas Bouwmeester, Hendrik Rietman, et al.. (2009). Phytophthora infestans Isolates Lacking Class I ipiO Variants Are Virulent on Rpi-blb1 Potato. Molecular Plant-Microbe Interactions. 22(12). 1535–1545. 99 indexed citations
18.
Stasolla, Claudio, Mark F. Belmonte, Muhammad Tahir, et al.. (2008). Buthionine sulfoximine (BSO)-mediated improvement in cultured embryo quality in vitro entails changes in ascorbate metabolism, meristem development and embryo maturation. Planta. 228(2). 255–272. 33 indexed citations
19.
Jansen, Ronald, Cajo J. F. ter Braak, Chris Maliepaard, & Martin P. Boer. (2002). Discussion of 'A model selection approach for the identification of quantitative trait loci in experimental crosses' by K.W. Broman & T.P. Speed. Journal of the Royal Statistical Society Series A (Statistics in Society). 2002. 751–752. 1 indexed citations
20.
Helbing, Willem A., Hans G. Bosch, Chris Maliepaard, et al.. (1995). Comparison of echocardiographic methods with magnetic resonance imaging for assessment of right ventricular function in children. The American Journal of Cardiology. 76(8). 589–594. 202 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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