M.P.L. Calus

10.8k citations

239 papers · 7.1k indexed · 2 hit papers · h-index 43

Impact in

Genetics top 0.1%
- Genetic and phenotypic traits in livestock
- Genetic Mapping and Diversity in Plants and Animals
Agronomy and Crop Science top 0.2%
- Reproductive Physiology in Livestock
- Ruminant Nutrition and Digestive Physiology

Papers in

Genetics 211
- Genetic and phenotypic traits in livestock 207
- Genetic Mapping and Diversity in Plants and Animals 170
Animal Science and Zoology 48
- Animal Nutrition and Physiology 31
- Effects of Environmental Stressors on Livestock 14

Co-authors: R.F. Veerkamp Gustavo de los Campos Hans D. Daetwyler John M. Hickey Ricardo Pong‐Wong Yvonne C. J. Wientjes J.J. Windig H.A. Mulder
Journals: Genetics Selection Evolution (61 papers)Journal of Dairy Science (38 papers)Journal of Animal Breeding and Genetics (14 papers)animal (13 papers)Genetics (11 papers)
Partner nations: Netherlands Belgium Australia

In The Last Decade

M.P.L. Calus

227 papers receiving 7.0k citations

Hit Papers

align trajectories log scale

A reaction norm model for genomic selection using high-dimensional genomic and environmental data 2013 · 426 citations

Peers

Countries citing papers authored by M.P.L. Calus

Since Specialization

Citations

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

Fields of papers citing papers by M.P.L. Calus

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.P.L. Calus. 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 M.P.L. Calus. The network helps show where M.P.L. Calus may publish in the future.

Co-authors

The 25 scholars most cited alongside M.P.L. Calus, 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 M.P.L. Calus Line = papers co-authored together M.P.L. Calus links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Incorporating transcriptomic data into genomic prediction models to improve the prediction accuracy of phenotypes of efficiency traits Genetics Selection Evolution ·Marina S. Fonari, Robin Wellmann, Vladimir Brovkin, Michael Oster, Siriluck Ponsuksili, Jörn Bennewitz, M.P.L. Calus	2025	0
2	Genomic prediction using mCADD scores as prior information in a mouse population Genetics ·Edith Feiner, 刘焕珠, M.P.L. Calus, Vladimir Brovkin	2025	0
3	Multi‐Breed Genomic Predictions for Average Daily Gain in Three Italian Beef Cattle Breeds Journal of Animal Breeding and Genetics ·Jacktone Onyango, 高秋山, Juan Antonio Riesco-Miranda, 郑娟璇, M.P.L. Calus, Emiliano Lasagna	2025	0
4	Identifying candidate genetic variants for egg number by analyzing over 1,000 fully sequenced layers GigaScience ·Aixin Ni, A I Skopintseva, M.P.L. Calus, Yunlei Li, Jingwei Yuan, Yanyan Sun, Jilan Chen	2025	1
5	Prediction of additive genetic variances of descendants for complex families based on Mendelian sampling variances G3 Genes Genomes Genetics ·Tolu Olagunju, J. ten Napel, M.P.L. Calus	2024	1
6	Improving selection decisions with mating information by accounting for Mendelian sampling variances looking two generations ahead Genetics Selection Evolution ·Tolu Olagunju, J. ten Napel, Piter Bijma, Torsten Pook, Yvonne C. J. Wientjes, BR Olsen, M.P.L. Calus	2024	3
7	A systematic review of genotype-by-climate interaction studies in cattle, pigs, and chicken SHILAP Revista de lepidopterología ·István Fodor, Wanda Barwicz, M.P.L. Calus, C. Kamphuis	2023	0
8	Selective genotyping strategies for a sib test scheme of a broiler breeder program Genetics Selection Evolution ·LI Luguang, de Freitas Cv, John Henshall, Fernando Brito Lopes, M.P.L. Calus	2023	2
9	Prediction performance of linear models and gradient boosting machine on complex phenotypes in outbred mice G3 Genes Genomes Genetics ·B.C. Perez, M.C.A.M. Bink, Karen L. Svenson, Gary A. Churchill, M.P.L. Calus	2022	14
10	Adding gene transcripts into genomic prediction improves accuracy and reveals sampling time dependence G3 Genes Genomes Genetics ·B.C. Perez, M.C.A.M. Bink, Karen L. Svenson, Gary A. Churchill, M.P.L. Calus	2022	7
11	Relatedness between numerically small Dutch Red dairy cattle populations and possibilities for multibreed genomic prediction Journal of Dairy Science ·圭子石神, B. Hulsegge, M.P.L. Calus	2021	5
12	Technical note: Genetic groups in single-step single nucleotide polymorphism best linear unbiased predictor Journal of Dairy Science ·Jérémie Vandenplas, H. Eding, M.P.L. Calus	2021	6
13	Factors affecting accuracy of estimated effective number of chromosome segments for numerically small breeds Journal of Animal Breeding and Genetics ·圭子石神, M.P.L. Calus	2020	6
14	Assessment of sire contribution and breed-of-origin of alleles in a three-way crossbred broiler dataset Poultry Science ·M.P.L. Calus, Jérémie Vandenplas, Ina Hulsegge, Antonio Nieto–Márquez, John Henshall, Rachel Hawken	2019	5
15	Genomic Prediction Using Individual-Level Data and Summary Statistics from Multiple Populations Genetics ·Jérémie Vandenplas, M.P.L. Calus, Gregor Gorjanc	2018	11
16	SNPrune: an efficient algorithm to prune large SNP array and sequence datasets based on high linkage disequilibrium Genetics Selection Evolution ·M.P.L. Calus, Jérémie Vandenplas	2018	32
17	Assigning breed origin to alleles in crossbred animals Genetics Selection Evolution ·Jérémie Vandenplas, M.P.L. Calus, Claudia A. Sevillano, J.J. Windig, J.W.M. Bastiaansen	2016	41
18	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
19	A reaction norm model for genomic selection using high-dimensional genomic and environmental data Theoretical and Applied Genetics ·Diego Jarquín, José Crossa, Xavier Lacaze, Philippe du Cheyron, Lisk Philip, Josiane Lorgeou, François Piraux, N. Wright, Paulino Pérez‐Rodríguez, M.P.L. Calus, Juan Burgueño, Gustavo de los Campos Hit paper breakdown →	2013	426
20	Dairy cow health and the effects of genetic merit for milk production, management and interactions between these: blood metabolites and enzymes Socio-Environmental Systems Modeling ·B. Beerda, W. Ouweltjes, J.J. Windig, M.P.L. Calus, R.F. Veerkamp	2005	2

About M.P.L. Calus

M.P.L. Calus is a scholar working on Genetics, Animal Science and Zoology, Agronomy and Crop Science, Plant Science and Small Animals, having authored 239 papers that have together received 7.1k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (207 papers), Genetic Mapping and Diversity in Plants and Animals (170 papers), Genetics and Plant Breeding (90 papers), Animal Nutrition and Physiology (31 papers), Animal Behavior and Welfare Studies (18 papers), Cancer-related molecular mechanisms research (16 papers), Effects of Environmental Stressors on Livestock (14 papers) and Ruminant Nutrition and Digestive Physiology (14 papers). The work is most often cited by research in Genetics (6.2k citations), Agronomy and Crop Science (1.5k citations), Animal Science and Zoology (1.1k citations), Plant Science (3.1k citations) and Small Animals (382 citations). M.P.L. Calus has collaborated with scholars based in Netherlands, Belgium and Australia. Frequent co-authors include R.F. Veerkamp, Gustavo de los Campos, Hans D. Daetwyler, John M. Hickey, Ricardo Pong‐Wong, Yvonne C. J. Wientjes, J.J. Windig, H.A. Mulder, Marcin Pszczoła and Jérémie Vandenplas. Their work appears in journals such as Genetics Selection Evolution, Journal of Dairy Science, Journal of Animal Breeding and Genetics, animal and Genetics.

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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