L.L.G. Janss
- Genetics top 10%
- Epidemiology
- Agronomy and Crop Science top 5%
- Animal Science and Zoology top 10%
- Plant Science
- Co-authors
- Haja N. KadarmideenY. de HaasG.H. WentinkVictor P. M. G. RuttenC.H.J. KalisY.H. SchukkenAd P. KoetsGirma Adugna
- Topics
- Genetic and phenotypic traits in livestock (12 papers)Genetic Mapping and Diversity in Plants and Animals (5 papers)Milk Quality and Mastitis in Dairy Cows (4 papers)
- Partner nations
- DenmarkSwedenNetherlands
In The Last Decade
L.L.G. Janss
15 papers receiving 366 citations
Peers
Comparison fields: 5 of 46
- Genetics 221
- Epidemiology 124
- Agronomy and Crop Science 120
- Animal Science and Zoology 73
- Plant Science 69
Countries citing papers authored by L.L.G. Janss
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 11 | |
| 3 | 29 | |
| 4 | 25 | |
| 5 | 35 | |
| 6 | 11 | |
| 7 | 12 | |
| 8 | 5 | |
| 9 | Genomic Estimation Of Heritability Under Different Gene Action Scenarios | 2 |
| 10 | 86 | |
| 11 | Statistical inference on genetic response in selection lines using bivariate finite polygenic and qtl models | 2 |
| 12 | New genetic parameters for national evaluations of production traits in Spanish Holsteins excluding selected base animals from the estimation of genetic variance | 4 |
| 13 | 128 | |
| 14 | MCMC based estimation of variance components in a very large dairy cattle data set | 11 |
| 15 | MAGGIC: A package of subroutines for genetic analysis with Gibbs sampling | 20 |
About L.L.G. Janss
L.L.G. Janss is a scholar working on Agronomy and Crop Science, Genetics and Small Animals, having authored 15 papers that have together received 393 indexed citations. Recurring topics across this 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). The work is most often cited by research in Agronomy and Crop Science (120 citations), Small Animals (66 citations) and Genetics (221 citations). L.L.G. Janss has collaborated with scholars based in Denmark, Sweden and Netherlands. Frequent 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. Their work appears in journals such as Journal of Dairy Science, Frontiers in Plant Science and Heredity.
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.