G.C.B. Schopen

427 total citations
15 papers, 333 citations indexed

About

G.C.B. Schopen is a scholar working on Genetics, Agronomy and Crop Science and Plant Science. According to data from OpenAlex, G.C.B. Schopen has authored 15 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Genetics, 7 papers in Agronomy and Crop Science and 2 papers in Plant Science. Recurrent topics in G.C.B. Schopen's work include Genetic and phenotypic traits in livestock (14 papers), Genetic Mapping and Diversity in Plants and Animals (7 papers) and Milk Quality and Mastitis in Dairy Cows (4 papers). G.C.B. Schopen is often cited by papers focused on Genetic and phenotypic traits in livestock (14 papers), Genetic Mapping and Diversity in Plants and Animals (7 papers) and Milk Quality and Mastitis in Dairy Cows (4 papers). G.C.B. Schopen collaborates with scholars based in Netherlands. G.C.B. Schopen's co-authors include J.A.M. van Arendonk, H. Bovenhuis, M.H.P.W. Visker, J.M.L. Heck, H.J.F. van Valenberg, Erik Mullaart, C. Schrooten, K.J.E. van Hulzen, H.C.M. Heuven and Ad P. Koets and has published in prestigious journals such as Journal of Dairy Science, Animal Genetics and Socio-Environmental Systems Modeling.

In The Last Decade

G.C.B. Schopen

15 papers receiving 325 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G.C.B. Schopen Netherlands 7 263 167 56 47 39 15 333
Christos Dadousis Italy 14 346 1.3× 179 1.1× 74 1.3× 44 0.9× 88 2.3× 32 443
Valentin A. Bâlteanu Romania 10 258 1.0× 66 0.4× 42 0.8× 81 1.7× 33 0.8× 36 373
Antonia Noce Spain 10 202 0.8× 71 0.4× 37 0.7× 32 0.7× 47 1.2× 22 272
Chang-Hee Do South Korea 12 246 0.9× 179 1.1× 26 0.5× 25 0.5× 148 3.8× 36 401
Mohammad Hossein Banabazi Iran 11 186 0.7× 48 0.3× 39 0.7× 46 1.0× 79 2.0× 43 295
F. Schiavini Italy 11 272 1.0× 87 0.5× 62 1.1× 53 1.1× 54 1.4× 21 325
Grum Gebreyesus Denmark 10 229 0.9× 136 0.8× 41 0.7× 28 0.6× 54 1.4× 23 313
Sang Weon Na South Korea 6 118 0.4× 143 0.9× 29 0.5× 77 1.6× 167 4.3× 11 339
Futao Mo China 8 157 0.6× 188 1.1× 46 0.8× 81 1.7× 71 1.8× 9 333

Countries citing papers authored by G.C.B. Schopen

Since Specialization
Citations

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

Fields of papers citing papers by G.C.B. Schopen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G.C.B. Schopen

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

All Works

15 of 15 papers shown
1.
Schopen, G.C.B., et al.. (2021). Breeding goal traits accounting for feed intake capacity and roughage or concentrate intake separately. Journal of Dairy Science. 104(8). 8966–8982. 2 indexed citations
2.
Jong, G. de, et al.. (2019). Feed intake genetic evaluation: progress and an index for saved feed cost.. Bulletin - International Bull Evaluation Service/Interbull bulletin. 1–4. 3 indexed citations
3.
Napel, J. ten, A.R. Cromie, G.C.B. Schopen, Jérémie Vandenplas, & R.F. Veerkamp. (2018). Towards routine estimation of breeding values using one million genotyped animals. Proceedings of the World Congress on Genetics Applied to Livestock Production. 905. 2 indexed citations
4.
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
5.
Calus, M.P.L., G.C.B. Schopen, & R.F. Veerkamp. (2014). Simultaneous deregression of cow and bull breeding values. Socio-Environmental Systems Modeling. 48(48). 63–67. 1 indexed citations
6.
Schopen, G.C.B. & C. Schrooten. (2013). Reliability of genomic evaluations in Holstein-Friesians using haplotypes based on the BovineHD BeadChip. Journal of Dairy Science. 96(12). 7945–7951. 4 indexed citations
7.
Schrooten, C., et al.. (2013). Across-breed genomic evaluation based on bovine high density genotypes, and phenotypes of bulls and cows.. 138–141. 5 indexed citations
8.
Hulzen, K.J.E. van, G.C.B. Schopen, J.A.M. van Arendonk, et al.. (2012). 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. 95(5). 2740–2748. 36 indexed citations
9.
Schopen, G.C.B., et al.. (2011). Whole-genome association study for milk protein composition in dairy cattle. Journal of Dairy Science. 94(6). 3148–3158. 91 indexed citations
10.
Bouwman, A.C., G.C.B. Schopen, H. Bovenhuis, M.H.P.W. Visker, & J.A.M. van Arendonk. (2010). Genome-wide scan to detect quantitative trait loci for milk urea nitrogen in Dutch Holstein-Friesian cows. Journal of Dairy Science. 93(7). 3310–3319. 13 indexed citations
11.
Visker, M.H.P.W., H. Bovenhuis, J.A.M. van Arendonk, & G.C.B. Schopen. (2010). Genome Wide Association For Casein Index In Milk Of Dairy Cattle. Socio-Environmental Systems Modeling. 1 indexed citations
12.
Schopen, G.C.B., J.M.L. Heck, H. Bovenhuis, et al.. (2009). Genetic parameters for major milk proteins in Dutch Holstein-Friesians. Journal of Dairy Science. 92(3). 1182–1191. 94 indexed citations
13.
Schopen, G.C.B., et al.. (2009). Whole genome scan to detect quantitative trait loci for bovine milk protein composition. Animal Genetics. 40(4). 524–537. 28 indexed citations
14.
Demeter, Róbert, G.C.B. Schopen, Alfons Oude Lansink, M.P.M. Meuwissen, & J.A.M. van Arendonk. (2009). Effects of milk fat composition, DGAT1, and SCD1 on fertility traits in Dutch Holstein cattle. Journal of Dairy Science. 92(11). 5720–5729. 18 indexed citations
15.
Schopen, G.C.B., H. Bovenhuis, M.H.P.W. Visker, & J.A.M. van Arendonk. (2008). Comparison of information content for microsatellites and SNPs in poultry and cattle. Animal Genetics. 39(4). 451–453. 34 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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