3.9k total citations 103 papers, 2.9k citations indexed
About
Y. de Haas is a scholar working on Genetics, Agronomy and Crop Science and Animal Science and Zoology.
According to data from OpenAlex, Y. de Haas has authored 103 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Genetics, 55 papers in Agronomy and Crop Science and 29 papers in Animal Science and Zoology. Recurrent topics in Y. de Haas's work include Genetic and phenotypic traits in livestock (73 papers), Effects of Environmental Stressors on Livestock (26 papers) and Ruminant Nutrition and Digestive Physiology (24 papers). Y. de Haas is often cited by papers focused on Genetic and phenotypic traits in livestock (73 papers), Effects of Environmental Stressors on Livestock (26 papers) and Ruminant Nutrition and Digestive Physiology (24 papers). Y. de Haas collaborates with scholars based in Netherlands, United States and United Kingdom. Y. de Haas's co-authors include R.F. Veerkamp, M.P.L. Calus, Herman W. Barkema, J.E. Pryce, J.J. Windig, G. de Jong, E. Wall, Ben J. Hayes, R.F. Veerkamp and M.P. Coffey and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Dairy Science and Sensors.
Citations per year, relative to Y. de Haas Y. de Haas (= 1×)
peers
M. McGee
Countries citing papers authored by Y. de Haas
Since
Specialization
Citations
This map shows the geographic impact of Y. de Haas'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 Y. de Haas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Y. de Haas more than expected).
This network shows the impact of papers produced by Y. de Haas. 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 Y. de Haas. The network helps show where Y. de Haas may publish in the future.
Co-authorship network of co-authors of Y. de Haas
This figure shows the co-authorship network connecting the top 25 collaborators of Y. de Haas.
A scholar is included among the top collaborators of Y. de Haas 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 Y. de Haas. Y. de Haas is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Haas, Y. de, et al.. (2019). Selective breeding as a mitigation tool for methane intensity of dairy cattle. Socio-Environmental Systems Modeling.1 indexed citations
5.
Veerkamp, R.F., G.C.B. Schopen, & Y. de Haas. (2018). Selection for low or high feed intake cows: genotype by environment interaction for milk yield, live weight and dry matter intake in dairy cows. Socio-Environmental Systems Modeling. 189.1 indexed citations
6.
Manzanilla-Pech, C.I.V., R.F. Veerkamp, Y. de Haas, M.P.L. Calus, & J. ten Napel. (2018). Genomic prediction of feed intake using predictor traits. Socio-Environmental Systems Modeling. 114.1 indexed citations
7.
Haas, Y. de, E. Wall, P. C. Garnsworthy, et al.. (2018). Where have we come with breeding for methane emissions – update from international collaborations. Socio-Environmental Systems Modeling. 810.1 indexed citations
Veerkamp, R.F., Y. de Haas, J.E. Pryce, et al.. (2015). Guidelines to measure individual feed intake of dairy cows for genomic and genetic evaluations. Socio-Environmental Systems Modeling. 191–198.2 indexed citations
10.
Veerkamp, R.F., et al.. (2014). Breeding Value for Dry Matter Intake for Dutch Bulls based on DGV for DMI and BV for Predictors. Proceedings of the World Congress on Genetics Applied to Livestock Production. 115.8 indexed citations
11.
Lassen, Jan, P. C. Garnsworthy, M.G.G. Chagunda, et al.. (2014). Progress with genetic selection for low methane traits in dairy cows. Socio-Environmental Systems Modeling. 36.2 indexed citations
12.
Manzanilla-Pech, C.I.V., R.F. Veerkamp, M.P.L. Calus, J.E. Pryce, & Y. de Haas. (2014). Genetic Parameters and Accuracy of recording Dry Matter Intake in first parity Holstein-Friesian cows. Socio-Environmental Systems Modeling. 554.7 indexed citations
13.
Veerkamp, R.F., J.E. Pryce, D.M. Spurlock, et al.. (2013). Selection on feed intake or feed efficiency: A position paper from gDMI breeding goal discussions. Socio-Environmental Systems Modeling. 2013(47). 15–22.14 indexed citations
14.
Coffey, M.P., J.E. Pryce, Y. de Haas, et al.. (2013). International Genetic Evaluations for Feed Intake in Dairy Cattle. Socio-Environmental Systems Modeling. 52–57.3 indexed citations
15.
Veerkamp, R.F., D.P. Berry, E. Wall, et al.. (2011). Use of phenotypes from research herds to develop genomic selection for scarcely recorded traits like feed efficiency. Socio-Environmental Systems Modeling. 44(44). 249–254.3 indexed citations
16.
Eding, H., Y. de Haas, & G. de Jong. (2009). Predicting mastitis resistance breding values from somatic cell count indicator traits. Socio-Environmental Systems Modeling. 21–25.4 indexed citations
17.
Klopčić, Marija, R.F. Veerkamp, Špela Pezdevšek Malovrh, et al.. (2009). Economic indices for various breeds under different farming systems and price uncertainty - Case Slovenia. Socio-Environmental Systems Modeling. 275–280.1 indexed citations
18.
Haas, Y. de, S. Bloemhof, W. Ouweltjes, J. ten Napel, & G. de Jong. (2007). Improving selection on udder health by using different trait definitions of somatic cell count. Socio-Environmental Systems Modeling. 185–189.2 indexed citations
19.
Haas, Y. de & Haja N. Kadarmideen. (2005). Genetic parameters for predictors of body weight, production traits and somatic cell count in Swiss dairy cows. Research at the University of Copenhagen (University of Copenhagen).1 indexed citations
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