U. Nielsen

2.0k total citations
83 papers, 1.4k citations indexed

About

U. Nielsen is a scholar working on Genetics, Atomic and Molecular Physics, and Optics and Agronomy and Crop Science. According to data from OpenAlex, U. Nielsen has authored 83 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Genetics, 19 papers in Atomic and Molecular Physics, and Optics and 15 papers in Agronomy and Crop Science. Recurrent topics in U. Nielsen's work include Genetic and phenotypic traits in livestock (51 papers), Genetic Mapping and Diversity in Plants and Animals (26 papers) and Atomic and Molecular Physics (10 papers). U. Nielsen is often cited by papers focused on Genetic and phenotypic traits in livestock (51 papers), Genetic Mapping and Diversity in Plants and Animals (26 papers) and Atomic and Molecular Physics (10 papers). U. Nielsen collaborates with scholars based in Denmark, Finland and United States. U. Nielsen's co-authors include Mogens Sandø Lund, Gert Pedersen Aamand, Per Madsen, Esa Mäntysaari, Guosheng Su, W. J. Childs, O. Poulsen, Ole Fredslund Christensen, Bernt Guldbrandtsen and Christer Engdahl and has published in prestigious journals such as Physical Review Letters, The Journal of Chemical Physics and Physical review. B, Condensed matter.

In The Last Decade

U. Nielsen

82 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
U. Nielsen Denmark 22 988 380 331 322 168 83 1.4k
Fumio Shibata Japan 13 127 0.1× 93 0.2× 229 0.7× 262 0.8× 49 0.3× 42 835
A. M. Raven United Kingdom 19 67 0.1× 185 0.5× 51 0.2× 167 0.5× 128 0.8× 52 1.0k
Xinglong Xie China 14 284 0.3× 67 0.2× 12 0.0× 305 0.9× 21 0.1× 76 841
Claudio Canali Italy 16 58 0.1× 87 0.2× 17 0.1× 361 1.1× 57 0.3× 51 1.2k
S. Swaminathan Canada 13 125 0.1× 171 0.5× 9 0.0× 331 1.0× 102 0.6× 16 885
Ikuo Okada Japan 15 111 0.1× 21 0.1× 39 0.1× 50 0.2× 200 1.2× 115 781
P. Duffy Ireland 18 200 0.2× 288 0.8× 24 0.1× 13 0.0× 42 0.3× 41 935
J. H. Smith United States 19 73 0.1× 12 0.0× 43 0.1× 283 0.9× 136 0.8× 46 897
T. K. Soboleva United States 18 103 0.1× 109 0.3× 16 0.0× 260 0.8× 55 0.3× 66 956
John Holland United States 17 43 0.0× 41 0.1× 63 0.2× 130 0.4× 42 0.3× 44 856

Countries citing papers authored by U. Nielsen

Since Specialization
Citations

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

Fields of papers citing papers by U. Nielsen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of U. Nielsen

This figure shows the co-authorship network connecting the top 25 collaborators of U. Nielsen. A scholar is included among the top collaborators of U. Nielsen 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 U. Nielsen. U. Nielsen 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.
Koivula, Minna, Jukka Pösö, U. Nielsen, et al.. (2024). Single-step genomic prediction models for metabolic body weight in Nordic Holstein, Red dairy cattle, and Jersey. Jukuri (Luonnonvarakeskus Tietopalvelu).
2.
Carlén, E., et al.. (2016). Youngstock survival in Nordic Cattle Genetic Evaluation. Bulletin - International Bull Evaluation Service/Interbull bulletin. 4 indexed citations
3.
Tyrisevä, Anna-Maria, Esa Mäntysaari, J. Pösö, et al.. (2015). Genetic parameters for female fertility in Nordic dairy cattle. Jukuri (Natural Resources Institute Finland (Luke)). 32–35. 8 indexed citations
4.
Johansson, Klara, et al.. (2011). Genetic evaluation of claw health in Denmark, Finland and Sweden. Bulletin - International Bull Evaluation Service/Interbull bulletin. 20 indexed citations
5.
Lund, Mogens Sandø, Guohai Su, U. Nielsen, & Gert Pedersen Aamand. (2009). Relation between accuracies of genomic predictions and ancestral links to the training data. Bulletin - International Bull Evaluation Service/Interbull bulletin. 162. 14 indexed citations
6.
Johansson, Klara, et al.. (2008). Joint genetic evaluation of other disease traits in Denmark, Finland and Sweden. Bulletin - International Bull Evaluation Service/Interbull bulletin. 107. 5 indexed citations
7.
Mäntysaari, Esa, Martin Lidauer, Jukka Pösö, et al.. (2006). Joint Nordic Test Day Model: Variance Components. Jukuri (Natural Resources Institute Finland (Luke)). 97. 8 indexed citations
8.
Lidauer, Martin, J. Pedersen, Jukka Pösö, et al.. (2006). Joint Nordic test day model: Evaluation model. Jukuri (Natural Resources Institute Finland (Luke)). 103. 13 indexed citations
9.
Lidauer, Martin, Esa Mäntysaari, Ismo Strandén, et al.. (2006). Random heterosis and recombination loss effects in a multibreed evaluation for Nordic red dairy cattle.. Jukuri (Natural Resources Institute Finland (Luke)). 11 indexed citations
10.
Pedersen, Jørn, U. Nielsen, Gert Pedersen Aamand, et al.. (2004). Joint Nordic test day model for milk production traits. Jukuri (Natural Resources Institute Finland (Luke)). 8. 2 indexed citations
11.
Fogh, Anders, et al.. (2004). A joint Nordic model for type traits. Bulletin - International Bull Evaluation Service/Interbull bulletin. 13–17. 3 indexed citations
12.
Fogh, Anders, A. Roth, Jarmo Juga, et al.. (2003). A joint Nordic model for fertility traits. Bulletin - International Bull Evaluation Service/Interbull bulletin. 52. 11 indexed citations
13.
Nielsen, U., et al.. (2003). Time dependent effects as source of bias in estimating breeding values for longevity and fertility traits. Bulletin - International Bull Evaluation Service/Interbull bulletin. 29. 5 indexed citations
14.
Svendsen, Mathias Tiedemann, et al.. (2001). Genetic relationships among functional traits in the Nordic Holstein populations. Bulletin - International Bull Evaluation Service/Interbull bulletin. 60. 10 indexed citations
15.
Pedersen, J., et al.. (1999). Experiences of blending foreign information in the national genetic evaluation. Bulletin - International Bull Evaluation Service/Interbull bulletin. 61. 5 indexed citations
16.
Pedersen, J., et al.. (1999). Future development in genetic evaluation of Danish dairy cattle. Bulletin - International Bull Evaluation Service/Interbull bulletin. 109. 1 indexed citations
17.
Madsen, Peder, Just Jensen, & U. Nielsen. (1997). Effects of heterosis and imported germ plasm on production traits estimated in the Danish multi-breed animal model. Bulletin - International Bull Evaluation Service/Interbull bulletin. 85. 2 indexed citations
18.
Nielsen, U., et al.. (1997). Genetic correlations among health traits in different lactations. Bulletin - International Bull Evaluation Service/Interbull bulletin. 68. 28 indexed citations
19.
Nielsen, U., et al.. (1995). Relationship between non-production traits and survival rates in Danish dairy cows. Bulletin - International Bull Evaluation Service/Interbull bulletin. 2 indexed citations
20.
Banos, Georgios, et al.. (1993). Linear model comparisons of Black-and-White dairy bulls from the Nordic countries. Bulletin - International Bull Evaluation Service/Interbull bulletin. 8(8). 6 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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