L.L.G. Janss

532 total citations
15 papers, 393 citations indexed

About

L.L.G. Janss is a scholar working on Genetics, Agronomy and Crop Science and Plant Science. According to data from OpenAlex, L.L.G. Janss has authored 15 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Genetics, 5 papers in Agronomy and Crop Science and 5 papers in Plant Science. Recurrent topics in L.L.G. Janss's work include Genetic and phenotypic traits in livestock (12 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers) and Milk Quality and Mastitis in Dairy Cows (4 papers). L.L.G. Janss is often cited by papers focused on Genetic and phenotypic traits in livestock (12 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers) and Milk Quality and Mastitis in Dairy Cows (4 papers). L.L.G. Janss collaborates with scholars based in Denmark, Sweden and Netherlands. L.L.G. Janss's co-authors include Haja N. Kadarmideen, Y. de Haas, G.H. Wentink, Victor P. M. G. Rutten, C.H.J. Kalis, Y.H. Schukken, Ad P. Koets, Girma Adugna, W.F. Fikse and Peter Løvendahl and has published in prestigious journals such as Journal of Dairy Science, Frontiers in Plant Science and Heredity.

In The Last Decade

L.L.G. Janss

15 papers receiving 366 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
L.L.G. Janss Denmark 11 221 124 120 73 69 15 393
H. M. Warriach Pakistan 12 157 0.7× 27 0.2× 263 2.2× 65 0.9× 47 0.7× 26 439
Yogesh C. Bangar India 13 312 1.4× 27 0.2× 287 2.4× 128 1.8× 31 0.4× 84 473
S.C. Ring Ireland 10 192 0.9× 36 0.3× 183 1.5× 87 1.2× 12 0.2× 24 285
Qiumei You Canada 11 65 0.3× 176 1.4× 61 0.5× 36 0.5× 28 0.4× 20 345
H.H. Tambourá Burkina Faso 13 225 1.0× 24 0.2× 84 0.7× 73 1.0× 64 0.9× 31 460
R. Rajendran India 12 175 0.8× 24 0.2× 97 0.8× 62 0.8× 33 0.5× 48 322
Sergio Iván Román-Ponce Mexico 12 333 1.5× 21 0.2× 117 1.0× 123 1.7× 105 1.5× 34 443
K. Forslund Sweden 8 72 0.3× 31 0.3× 148 1.2× 56 0.8× 30 0.4× 19 299
Rahul Behl India 12 232 1.0× 9 0.1× 106 0.9× 36 0.5× 42 0.6× 40 406
Barbara J. Erickson United States 8 38 0.2× 147 1.2× 98 0.8× 81 1.1× 23 0.3× 14 312

Countries citing papers authored by L.L.G. Janss

Since Specialization
Citations

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

Fields of papers citing papers by L.L.G. Janss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of L.L.G. Janss

This figure shows the co-authorship network connecting the top 25 collaborators of L.L.G. Janss. A scholar is included among the top collaborators of L.L.G. 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 L.L.G. Janss. L.L.G. Janss 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.
Janss, L.L.G., et al.. (2020). Effects of Different Strategies for Exploiting Genomic Selection in Perennial Ryegrass Breeding Programs. G3 Genes Genomes Genetics. 10(10). 3783–3795. 12 indexed citations
2.
Janss, L.L.G., et al.. (2020). Genomic Selection Using Pedigree and Marker-by-Environment Interaction for Barley Seed Quality Traits From Two Commercial Breeding Programs. Frontiers in Plant Science. 11. 539–539. 11 indexed citations
3.
Guo, Xiangyu, Fabio Cericola, Morten Greve Pedersen, et al.. (2018). Genomic Prediction in Tetraploid Ryegrass Using Allele Frequencies Based on Genotyping by Sequencing. Frontiers in Plant Science. 9. 1165–1165. 29 indexed citations
4.
Shetty, Nisha, et al.. (2018). Genetic analysis of Fourier transform infrared milk spectra in Danish Holstein and Danish Jersey. Journal of Dairy Science. 102(1). 503–510. 25 indexed citations
5.
Løvendahl, Peter, et al.. (2018). Genome-Wide Association Study for Susceptibility to and Recoverability From Mastitis in Danish Holstein Cows. Frontiers in Genetics. 9. 141–141. 35 indexed citations
6.
Janss, L.L.G., et al.. (2017). Bivariate threshold models for genetic evaluation of susceptibility to and ability to recover from mastitis in Danish Holstein cows. Journal of Dairy Science. 100(6). 4706–4720. 11 indexed citations
7.
Alemu, Setegn Worku, Peer Berg, L.L.G. Janss, & Piter Bijma. (2013). Indirect genetic effects and kin recognition: estimating IGEs when interactions differ between kin and strangers. Heredity. 112(2). 197–206. 12 indexed citations
8.
Janss, L.L.G., et al.. (2012). SNP-based heritability estimation using a Bayesian approach. animal. 7(4). 531–539. 5 indexed citations
9.
Janss, L.L.G., et al.. (2010). Genomic Estimation Of Heritability Under Different Gene Action Scenarios. 2 indexed citations
10.
Haas, Y. de, L.L.G. Janss, & Haja N. Kadarmideen. (2007). Genetic and phenotypic parameters for conformation and yield traits in three Swiss dairy cattle breeds. Journal of Animal Breeding and Genetics. 124(1). 12–19. 86 indexed citations
11.
Bink, M.C.A.M., et al.. (2002). Statistical inference on genetic response in selection lines using bivariate finite polygenic and qtl models. Socio-Environmental Systems Modeling. 729–732. 2 indexed citations
12.
Ibáñez, Miguel, et al.. (2000). New genetic parameters for national evaluations of production traits in Spanish Holsteins excluding selected base animals from the estimation of genetic variance. Bulletin - International Bull Evaluation Service/Interbull bulletin. 18. 4 indexed citations
13.
Koets, Ad P., Girma Adugna, L.L.G. Janss, et al.. (2000). Genetic Variation of Susceptibility to Mycobacterium avium subsp. paratuberculosis Infection in Dairy Cattle. Journal of Dairy Science. 83(11). 2702–2708. 128 indexed citations
14.
Janss, L.L.G. & G. de Jong. (1999). MCMC based estimation of variance components in a very large dairy cattle data set. Socio-Environmental Systems Modeling. 63–68. 11 indexed citations
15.
Janss, L.L.G.. (1998). MAGGIC: A package of subroutines for genetic analysis with Gibbs sampling. Medical Entomology and Zoology. 27. 459–460. 20 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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