Luc Janss

5.8k total citations · 1 hit paper
122 papers, 4.1k citations indexed

About

Luc Janss is a scholar working on Genetics, Plant Science and Agronomy and Crop Science. According to data from OpenAlex, Luc Janss has authored 122 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Genetics, 53 papers in Plant Science and 16 papers in Agronomy and Crop Science. Recurrent topics in Luc Janss's work include Genetic and phenotypic traits in livestock (77 papers), Genetic Mapping and Diversity in Plants and Animals (59 papers) and Genetics and Plant Breeding (35 papers). Luc Janss is often cited by papers focused on Genetic and phenotypic traits in livestock (77 papers), Genetic Mapping and Diversity in Plants and Animals (59 papers) and Genetics and Plant Breeding (35 papers). Luc Janss collaborates with scholars based in Denmark, Netherlands and United States. Luc Janss's co-authors include Mogens Sandø Lund, J.A.M. van Arendonk, Haja N. Kadarmideen, Guosheng Su, Torben Asp, E.W. Brascamp, Just Jensen, T.H.E. Meuwissen, Bernt Guldbrandtsen and Hanne Grethe Kirk and has published in prestigious journals such as Circulation, Nature Communications and PLoS ONE.

In The Last Decade

Luc Janss

118 papers receiving 4.0k citations

Hit Papers

The Value of Expanding the Training Population to Improve... 2018 2026 2020 2023 2018 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luc Janss Denmark 38 2.7k 1.5k 656 637 580 122 4.1k
J.I. Weller Israel 40 4.4k 1.6× 1.7k 1.1× 566 0.9× 580 0.9× 1.2k 2.0× 152 5.2k
L. Varona Spain 38 4.0k 1.5× 1.2k 0.8× 1.5k 2.3× 645 1.0× 801 1.4× 223 5.1k
Dirk‐Jan de Koning Sweden 39 4.0k 1.5× 1.2k 0.8× 995 1.5× 800 1.3× 472 0.8× 172 4.9k
Christian Maltecca United States 37 2.5k 0.9× 649 0.4× 998 1.5× 616 1.0× 1.1k 1.9× 168 3.7k
G. A. Rohrer United States 36 3.7k 1.4× 900 0.6× 1.3k 2.0× 1.4k 2.2× 379 0.7× 201 5.2k
Francisco Peñagaricano United States 27 1.9k 0.7× 501 0.3× 611 0.9× 714 1.1× 1.2k 2.1× 138 3.1k
J.W.M. Bastiaansen Netherlands 31 2.0k 0.7× 513 0.3× 760 1.2× 484 0.8× 241 0.4× 117 2.7k
Sara Knott United Kingdom 28 5.0k 1.8× 2.6k 1.7× 714 1.1× 868 1.4× 208 0.4× 89 5.9k
Max F. Rothschild United States 38 3.1k 1.2× 613 0.4× 1.8k 2.7× 1.1k 1.8× 364 0.6× 153 5.4k
W. Barendse Australia 38 3.9k 1.4× 599 0.4× 989 1.5× 852 1.3× 764 1.3× 153 5.0k

Countries citing papers authored by Luc Janss

Since Specialization
Citations

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

Fields of papers citing papers by Luc Janss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luc Janss

This figure shows the co-authorship network connecting the top 25 collaborators of Luc Janss. A scholar is included among the top collaborators of Luc Janss 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 Luc Janss. Luc Janss 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.
Karaman, Emre, et al.. (2021). MeSCoT: the tool for quantitative trait simulation through the mechanistic modeling of genes’ regulatory interactions. G3 Genes Genomes Genetics. 11(7). 1 indexed citations
2.
Janss, Luc, Per Madsen, John Henshall, et al.. (2020). Effect of genomic selection and genotyping strategy on estimation of variance components in animal models using different relationship matrices. Genetics Selection Evolution. 52(1). 31–31. 22 indexed citations
3.
Zhang, Qianqian, Gareth F. Difford, Goutam Sahana, et al.. (2020). Bayesian modeling reveals host genetics associated with rumen microbiota jointly influence methane emission in dairy cows. The ISME Journal. 14(8). 2019–2033. 59 indexed citations
4.
Bijma, Piter, Luc Janss, Chiara Bortoluzzi, et al.. (2019). Models with indirect genetic effects depending on group sizes: a simulation study assessing the precision of the estimates of the dilution parameter. Genetics Selection Evolution. 51(1). 24–24. 5 indexed citations
5.
Nielsen, Hanne Marie, et al.. (2018). Social genetic effects for growth in Landrace pigs with varying group sizes. Proceedings of the World Congress on Genetics Applied to Livestock Production. 212. 3 indexed citations
6.
Janss, Luc, et al.. (2017). Can We Validate the Results of Twin Studies? A Census-Based Study on the Heritability of Educational Achievement. Frontiers in Genetics. 8. 160–160. 13 indexed citations
7.
Gebreyesus, Grum, Mogens Sandø Lund, Luc Janss, et al.. (2016). Short communication: Multi-trait estimation of genetic parameters for milk protein composition in the Danish Holstein. Journal of Dairy Science. 99(4). 2863–2866. 29 indexed citations
8.
Janss, Luc. (2014). Disentangling Pleiotropy along the Genome using Sparse Latent Variable Models. 2 indexed citations
9.
Sahana, Goutam, Luc Janss, Bernt Guldbrandtsen, & Mogens Sandø Lund. (2014). Genetic Architecture of Milk, Fat, Protein, Mastitis and Fertility Studied Using NGS Data in Holstein Cattle. Proceedings of the World Congress on Genetics Applied to Livestock Production. 194. 1 indexed citations
10.
Ngoc, Duy, et al.. (2014). Genomic prediction and genomic variance partitioning of daily and residual feed intake in pigs using Bayesian Power Lasso models. Proceedings of the World Congress on Genetics Applied to Livestock Production. 124. 1 indexed citations
11.
Ashraf, Bilal, Stephen Byrne, Adrian Czaban, et al.. (2014). Prospects for introducing genomic selection info forage grass breeding. 1 indexed citations
12.
Edwards, Stefan McKinnon, et al.. (2013). Partitioning of genomic variance using biological pathways. 4.
13.
Erlich, Jonathan M., Courtney Green, Robert Barlow, et al.. (2010). Heterogeneity of Genetic Modifiers Ensures Normal Cardiac Development. Circulation. 121(11). 1313–1321. 52 indexed citations
14.
Janss, Luc, et al.. (2010). Heritability Estimation Based On Small Sample Size Using SNP Markers. Proceedings of the World Congress on Genetics Applied to Livestock Production. 654. 1 indexed citations
15.
Sahana, Goutam, Bernt Guldbrandtsen, Luc Janss, & Mogens Sandø Lund. (2010). Comparison of association mapping methods in a complex pedigreed population. Genetic Epidemiology. 34(5). 455–462. 41 indexed citations
16.
Janss, Luc, et al.. (2008). Relationship of cryptorchidism with sex ratios and litter sizes in 12 dog breeds. Animal Reproduction Science. 113(1-4). 187–195. 11 indexed citations
17.
Pas, M.F.W. te, E. J. Steenbergen, E.F. Knol, et al.. (2001). Associations between porcine leptin and leptin-receptor marker genotypes and immune parameters. Journal of Animal Science. 79. 189–189. 29 indexed citations
18.
Janss, Luc & N.M. Bolder. (2000). Heritabilities of and genetic relationships between salmonella resistance traits in broilers.. Journal of Animal Science. 78(9). 2287–2287. 24 indexed citations
19.
Janss, Luc, J.A.M. van Arendonk, & E.W. Brascamp. (1997). Segregation analyses for presence of major genes affecting growth, backfat, and litter size in Dutch Meishan crossbreds.. Journal of Animal Science. 75(11). 2864–2864. 26 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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