G.B. Jansen

862 total citations
34 papers, 696 citations indexed

About

G.B. Jansen is a scholar working on Genetics, Plant Science and Agronomy and Crop Science. According to data from OpenAlex, G.B. Jansen has authored 34 papers receiving a total of 696 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Genetics, 14 papers in Plant Science and 13 papers in Agronomy and Crop Science. Recurrent topics in G.B. Jansen's work include Genetic and phenotypic traits in livestock (30 papers), Genetic Mapping and Diversity in Plants and Animals (22 papers) and Genetics and Plant Breeding (8 papers). G.B. Jansen is often cited by papers focused on Genetic and phenotypic traits in livestock (30 papers), Genetic Mapping and Diversity in Plants and Animals (22 papers) and Genetics and Plant Breeding (8 papers). G.B. Jansen collaborates with scholars based in Canada, Italy and United States. G.B. Jansen's co-authors include Flávio S. Schenkel, L.R. Schaeffer, Mehdi Sargolzaei, J. W. Wilton, D.F. Kelton, P. Boettcher, J. Jamrozik, B. S. Sharma, Niel A. Karrow and Ezequiel Luís Nicolazzi and has published in prestigious journals such as Journal of Dairy Science, Genetics Selection Evolution and Animal Genetics.

In The Last Decade

G.B. Jansen

33 papers receiving 653 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.B. Jansen Canada 15 583 278 189 73 62 34 696
Jacques Chesnais Canada 10 850 1.5× 250 0.9× 229 1.2× 173 2.4× 127 2.0× 24 947
J. C. do C. Panetto Brazil 13 513 0.9× 207 0.7× 96 0.5× 155 2.1× 94 1.5× 63 605
F. J. Lopez Mexico 11 611 1.0× 253 0.9× 192 1.0× 173 2.4× 45 0.7× 57 756
Stewart Bauck United States 13 438 0.8× 87 0.3× 196 1.0× 93 1.3× 69 1.1× 36 585
Christèle Robert-Granié France 15 455 0.8× 245 0.9× 85 0.4× 104 1.4× 83 1.3× 28 638
Daniel Jordan de Abreu Santos Brazil 15 517 0.9× 203 0.7× 123 0.7× 124 1.7× 120 1.9× 56 623
C. Weimann Germany 13 494 0.8× 210 0.8× 73 0.4× 83 1.1× 76 1.2× 28 612
Aníbal Eugênio Vercesi Filho Brazil 13 419 0.7× 236 0.8× 94 0.5× 159 2.2× 27 0.4× 58 584
A. da S. Mariante Brazil 15 482 0.8× 217 0.8× 82 0.4× 200 2.7× 14 0.2× 49 692
B. K. Joshi India 15 508 0.9× 293 1.1× 63 0.3× 119 1.6× 62 1.0× 70 718

Countries citing papers authored by G.B. Jansen

Since Specialization
Citations

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

Fields of papers citing papers by G.B. Jansen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G.B. Jansen

This figure shows the co-authorship network connecting the top 25 collaborators of G.B. Jansen. A scholar is included among the top collaborators of G.B. Jansen 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.B. Jansen. G.B. Jansen 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.
Jansen, G.B., et al.. (2025). Improved computation of genomic and pedigree inbreeding and relationships accounting for the X chromosome. Journal of Dairy Science. 108(6). 6190–6202.
2.
Gandini, G., Alessandra Stella, Marcello Del Corvo, & G.B. Jansen. (2014). Selection with inbreeding control in simulated young bull schemes for local dairy cattle breeds. Journal of Dairy Science. 97(3). 1790–1798. 16 indexed citations
3.
Nicolazzi, Ezequiel Luís, Stefano Biffani, & G.B. Jansen. (2012). PEDIMPUTE: imputing genotypes using a fast algorithm combining pedigree and population information.. Bulletin - International Bull Evaluation Service/Interbull bulletin. 33–38. 2 indexed citations
4.
Schenkel, Flávio S., Mehdi Sargolzaei, G.J. Kistemaker, et al.. (2009). Reliability of genomic evaluation of Holstein cattle in Canada. Bulletin - International Bull Evaluation Service/Interbull bulletin. 51. 34 indexed citations
5.
Canavesi, F., G.B. Jansen, Ezequiel Luís Nicolazzi, Stefano Biffani, & Raffaella Finocchiaro. (2008). Impact of data editing on fat and protein content on stability of test day model evaluation. Bulletin - International Bull Evaluation Service/Interbull bulletin. 32. 1 indexed citations
6.
Sargolzaei, Mehdi, Flávio S. Schenkel, G.B. Jansen, & L.R. Schaeffer. (2008). Extent of Linkage Disequilibrium in Holstein Cattle in North America. Journal of Dairy Science. 91(5). 2106–2117. 158 indexed citations
8.
Kolbehdari, D., et al.. (2006). Transmission disequilibrium test for quantitative trait loci detection in livestock populations. Journal of Animal Breeding and Genetics. 123(3). 191–197. 1 indexed citations
9.
Jiang, Zhihua, Sachinandan De, M.D. Garcia, et al.. (2005). An independent confirmation of a quantitative trait locus for milk yield and composition traits on bovine chromosome 26. Journal of Animal Breeding and Genetics. 122(4). 281–284. 11 indexed citations
10.
Kolbehdari, D., et al.. (2005). Power of QTL detection by either fixed or random models in half-sib designs. Genetics Selection Evolution. 37(7). 601–14. 14 indexed citations
11.
Miglior, F., et al.. (2005). Joint International Evaluation of Milking Shorthorn Dairy Cattle for Production Traits. Journal of Dairy Science. 88(9). 3326–3336. 2 indexed citations
12.
Pan, Yan, G.B. Jansen, T.F. Duffield, et al.. (2004). Genetic Susceptibility to Neospora caninum Infection in Holstein Cattle in Ontario. Journal of Dairy Science. 87(11). 3967–3975. 38 indexed citations
13.
Boettcher, P., et al.. (2004). Phenotypic and Genetic Influences on Test-Day Measures of Acetone Concentration in Milk. Journal of Dairy Science. 87(4). 1108–1114. 13 indexed citations
14.
Jansen, G.B., et al.. (2004). Quantitative Trait Loci Mapping for Dairy Cattle Production Traits Using a Maximum Likelihood Method. Journal of Dairy Science. 87(2). 491–500. 14 indexed citations
15.
Boettcher, P., et al.. (2003). Estimation of Genetic Parameters for Concentrations of Milk Urea Nitrogen. Journal of Dairy Science. 86(7). 2462–2469. 83 indexed citations
16.
Jansen, G.B., et al.. (2002). The covariance between relatives conditional on genetic markers. Genetics Selection Evolution. 34(6). 657–78. 17 indexed citations
17.
Stella, Alessandra, et al.. (2002). Strategies for Continual Application of Marker-Assisted Selection in an Open Nucleus Population. Journal of Dairy Science. 85(9). 2358–2367. 5 indexed citations
18.
Plante, Y., et al.. (2001). Detection of Quantitative Trait Loci Affecting Milk Production Traits on 10 Chromosomes in Holstein Cattle. Journal of Dairy Science. 84(6). 1516–1524. 53 indexed citations
19.
Jansen, G.B., et al.. (1999). Impact of Japanese imported semen evaluations on international bull evaluations. Bulletin - International Bull Evaluation Service/Interbull bulletin. 52. 3 indexed citations
20.
Miglior, F., G.B. Jansen, & L.R. Schaeffer. (1995). Inclusion of Time-Region-Age-Parity effect in the Canadian genetic evaluation for production traits. Bulletin - International Bull Evaluation Service/Interbull bulletin. 2 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026