C. Schrooten

2.8k citations

50 papers · 1.8k indexed · h-index 23

Impact in

Genetics top 1%
- Genetic and phenotypic traits in livestock
- Genetic Mapping and Diversity in Plants and Animals
- Animal Genetics and Reproduction
Agronomy and Crop Science top 2%
- Reproductive Physiology in Livestock
- Livestock Farming and Management

Papers in ⓘ

Genetics 47
- Genetic and phenotypic traits in livestock 47
- Genetic Mapping and Diversity in Plants and Animals 38
Plant Science 25
- Genetics and Plant Breeding 20
- Wheat and Barley Genetics and Pathology 4

Co-authors: R.F. Veerkamp (14 shared papers)M.P.L. Calus (11 shared papers)H. Bovenhuis (6 shared papers)J.A.M. van Arendonk (9 shared papers)Tom Druet (7 shared papers)A.P.W. de Roos (6 shared papers)A.C. Bouwman (7 shared papers)Wouter Coppieters (3 shared papers)
Journals: Journal of Dairy Science (15 papers)Genetics Selection Evolution (12 papers)Journal of Animal Breeding and Genetics (2 papers)BMC Genomics (2 papers)Reproduction Fertility and Development (1 paper)
Partner nations: Netherlands Belgium Australia

In The Last Decade

C. Schrooten

48 papers receiving 1.7k citations

Peers

Countries citing papers authored by C. Schrooten

Since Specialization

Citations

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

Fields of papers citing papers by C. Schrooten

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside C. Schrooten, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with C. Schrooten Line = papers co-authored together C. Schrooten links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Exploiting biological priors and sequence variants enhances QTL discovery and genomic prediction of complex traits BMC Genomics ·Iona M. MacLeod, P.J. Bowman, Christy J. Vander Jagt, M. Haile‐Mariam, Kathryn E. Kemper, Amanda J. Chamberlain, C. Schrooten, Ben J. Hayes, Michael E. Goddard	2016	222
2	A common reference population from four European Holstein populations increases reliability of genomic predictions Genetics Selection Evolution ·Mogens Sandø Lund, Adrianus PW de Roos, A.G. de Vries, Tom Druet, Vincent Ducrocq, Sébastien Fritz, François Guillaume, Bernt Guldbrandtsen, Zenting Liu, Reinhard Reents, C. Schrooten, Franz R. Seefried, Guosheng Su	2011	194
3	Whole Genome Scan to Detect Quantitative Trait Loci for Conformation and Functional Traits in Dairy Cattle Journal of Dairy Science ·C. Schrooten, H. Bovenhuis, Wouter Coppieters, J.A.M. van Arendonk	2000	139
4	Genomic prediction using imputed whole-genome sequence data in Holstein Friesian cattle Genetics Selection Evolution ·R. van Binsbergen, M.P.L. Calus, M.C.A.M. Bink, Fred A. van Eeuwijk, C. Schrooten, R.F. Veerkamp	2015	113
5	Genomic prediction using preselected DNA variants from a GWAS with whole-genome sequence data in Holstein–Friesian cattle Genetics Selection Evolution ·R.F. Veerkamp, A.C. Bouwman, C. Schrooten, M.P.L. Calus	2016	86
6	Imputation of genotypes with low-density chips and its effect on reliability of direct genomic values in Dutch Holstein cattle Journal of Dairy Science ·H.A. Mulder, M.P.L. Calus, Tom Druet, C. Schrooten	2012	84
7	Genome-wide fine-mapping identifies pleiotropic and functional variants that predict many traits across global cattle populations Nature Communications ·Ruidong Xiang, Iona M. MacLeod, Hans D. Daetwyler, G. de Jong, Erin S. O’Connor, C. Schrooten, Amanda J. Chamberlain, Michael E. Goddard	2021	73
8	Effects of genomic selection on genetic improvement, inbreeding, and merit of young versus proven bulls Journal of Dairy Science ·A.P.W. de Roos, C. Schrooten, R.F. Veerkamp, J.A.M. van Arendonk	2011	70
9	Imputation of genotypes from different single nucleotide polymorphism panels in dairy cattle Journal of Dairy Science ·Tom Druet, C. Schrooten, A.P.W. de Roos	2010	68
10	Utility of whole-genome sequence data for across-breed genomic prediction Genetics Selection Evolution ·Biaty Raymond, A.C. Bouwman, C. Schrooten, Jeanine J. Houwing‐Duistermaat, R.F. Veerkamp	2018	65
11	Empirical and deterministic accuracies of across-population genomic prediction Genetics Selection Evolution ·Yvonne C. J. Wientjes, R.F. Veerkamp, Piter Bijma, Henk Bovenhuis, C. Schrooten, M.P.L. Calus	2015	63
12	Whole Genome Scan to Detect Chromosomal Regions Affecting Multiple Traits in Dairy Cattle Journal of Dairy Science ·C. Schrooten, M.C.A.M. Bink, H. Bovenhuis	2004	51
13	Meta-analysis for milk fat and protein percentage using imputed sequence variant genotypes in 94,321 cattle from eight cattle breeds Genetics Selection Evolution ·Irene van den Berg, Ruidong Xiang, Janez Jenko, Hubert Pausch, Mekki Boussaha, C. Schrooten, Thierry Tribout, Arne B. Gjuvsland, Didier Boichard, Øyvind Nordbø, Marie-Pierre Sanchez, Michael E. Goddard	2020	50
14	Effects of the number of markers per haplotype and clustering of haplotypes on the accuracy of QTL mapping and prediction of genomic breeding values Genetics Selection Evolution ·M.P.L. Calus, T.H.E. Meuwissen, J.J. Windig, E.F. Knol, C. Schrooten, Addie Vereijken, R.F. Veerkamp	2009	50
15	Mapping QTL influencing gastrointestinal nematode burden in Dutch Holstein-Friesian dairy cattle BMC Genomics ·Wouter Coppieters, Ted H. M. Mes, Tom Druet, Frédéric Farnir, Nico Tamma, C. Schrooten, Albert W.C.A. Cornelissen, Michel Georges, H.W. Ploeger	2009	42
16	Efficient genomic prediction based on whole-genome sequence data using split-and-merge Bayesian variable selection Genetics Selection Evolution ·M.P.L. Calus, A.C. Bouwman, C. Schrooten, R.F. Veerkamp	2016	41
17	Breeding Value Estimation for Fat Percentage Using Dense Markers on Bos taurus Autosome 14 Journal of Dairy Science ·A.P.W. de Roos, C. Schrooten, Erik Mullaart, M.P.L. Calus, R.F. Veerkamp	2007	38
18	Genome-wide association study to identify chromosomal regions associated with antibody response to Mycobacterium avium subspecies paratuberculosis in milk of Dutch Holstein-Friesians Journal of Dairy Science ·K.J.E. van Hulzen, G.C.B. Schopen, J.A.M. van Arendonk, M. Nielen, Ad P. Koets, C. Schrooten, H.C.M. Heuven	2012	36
19	Genetic Progress in Multistage Dairy Cattle Breeding Schemes Using Genetic Markers Journal of Dairy Science ·C. Schrooten, H. Bovenhuis, J.A.M. van Arendonk, Piter Bijma	2005	34
20	Genomic prediction for numerically small breeds, using models with pre-selected and differentially weighted markers Genetics Selection Evolution ·Biaty Raymond, A.C. Bouwman, Yvonne C. J. Wientjes, C. Schrooten, Jeanine J. Houwing‐Duistermaat, R.F. Veerkamp	2018	30

About C. Schrooten

C. Schrooten is a scholar working on Genetics, Plant Science, Agronomy and Crop Science, Cancer Research and Molecular Biology, having authored 50 papers that have together received 1.8k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (47 papers), Genetic Mapping and Diversity in Plants and Animals (38 papers), Genetics and Plant Breeding (20 papers), Cancer-related molecular mechanisms research (7 papers), Wheat and Barley Genetics and Pathology (4 papers), Reproductive Physiology in Livestock (4 papers), Livestock Farming and Management (3 papers) and Ruminant Nutrition and Digestive Physiology (2 papers). The work is most often cited by research in Genetics (1.7k citations), Agronomy and Crop Science (350 citations), Cancer Research (281 citations), Plant Science (678 citations) and Animal Science and Zoology (149 citations). C. Schrooten has collaborated with scholars based in Netherlands, Belgium and Australia. Frequent co-authors include R.F. Veerkamp, M.P.L. Calus, H. Bovenhuis, J.A.M. van Arendonk, Tom Druet, A.P.W. de Roos, A.C. Bouwman, Wouter Coppieters, Michael E. Goddard and Iona M. MacLeod. Their work appears in journals such as Journal of Dairy Science, Genetics Selection Evolution, Journal of Animal Breeding and Genetics, BMC Genomics and Reproduction Fertility and Development.

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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