Tage Ostersen

1.8k total citations
32 papers, 1.3k citations indexed

About

Tage Ostersen is a scholar working on Genetics, Animal Science and Zoology and Plant Science. According to data from OpenAlex, Tage Ostersen has authored 32 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Genetics, 12 papers in Animal Science and Zoology and 11 papers in Plant Science. Recurrent topics in Tage Ostersen's work include Genetic and phenotypic traits in livestock (30 papers), Genetic Mapping and Diversity in Plants and Animals (25 papers) and Animal Behavior and Welfare Studies (10 papers). Tage Ostersen is often cited by papers focused on Genetic and phenotypic traits in livestock (30 papers), Genetic Mapping and Diversity in Plants and Animals (25 papers) and Animal Behavior and Welfare Studies (10 papers). Tage Ostersen collaborates with scholars based in Denmark, China and Australia. Tage Ostersen's co-authors include Ole Fredslund Christensen, Mark Henryon, Guosheng Su, Bjarne Nielsen, Per Madsen, Mogens Sandø Lund, Guohai Su, Haja N. Kadarmideen, Anders Bjerring Strathe and Just Jensen and has published in prestigious journals such as PLoS ONE, Journal of Animal Science and BMC Genomics.

In The Last Decade

Tage Ostersen

29 papers receiving 1.2k citations

Peers

Countries citing papers authored by Tage Ostersen

Since Specialization

Citations

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

Fields of papers citing papers by Tage Ostersen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tage Ostersen

This figure shows the co-authorship network connecting the top 25 collaborators of Tage Ostersen. A scholar is included among the top collaborators of Tage Ostersen 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 Tage Ostersen. Tage Ostersen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Large-scale association study on daily weight gain in pigs reveals overlap of genetic factors for growth in humans 2022 ·BMC Genomics ·Zexi Cai, Ole Fredslund Christensen, Mogens Sandø Lund, Tage Ostersen, Goutam Sahana	18
2	Predictive performances of animal models using different multibreed relationship matrices in systems with rotational crossbreeding 2022 ·Genetics Selection Evolution ·(unknown), Tage Ostersen, Bjarne Nielsen, Ole Fredslund Christensen	7
3	Single-step genomic evaluation with metafounders for feed conversion ratio and average daily gain in Danish Landrace and Yorkshire pigs 2021 ·Genetics Selection Evolution ·(unknown), Tage Ostersen, Ole Fredslund Christensen, Tao Xiang	8
4	Genetic parameters and genomic prediction for feed intake recorded at the group and individual level in different production systems for growing pigs 2021 ·Genetics Selection Evolution ·Hongding Gao, Guosheng Su, Just Jensen, Per Madsen, Ole Fredslund Christensen, B. Ask, (unknown), Tage Ostersen, Bjarne Nielsen	4
5	Prediction of breeding values for group-recorded traits including genomic information and an individually recorded correlated trait 2020 ·Heredity ·(unknown), Ole Fredslund Christensen, Hongding Gao, Ruihua Huang, Bjarne Nielsen, Per Madsen, Just Jensen, Tage Ostersen, Pinghua Li, Mahmoud Shirali, Guosheng Su	7
6	Correction: Prediction of breeding values for group-recorded traits including genomic information and an individually recorded correlated trait 2020 ·Heredity ·(unknown), Ole Fredslund Christensen, Hongding Gao, Ruihua Huang, Bjarne Nielsen, Per Madsen, Just Jensen, Tage Ostersen, Pinghua Li, Mahmoud Shirali, Guosheng Su	3
7	Prediction of genetic merit for growth rate in pigs using animal models with indirect genetic effects and genomic information 2020 ·Genetics Selection Evolution ·(unknown), B. Ask, Hanne Marie Nielsen, Tage Ostersen, Ole Fredslund Christensen	3
8	A bivariate genomic model with additive, dominance and inbreeding depression effects for sire line and three-way crossbred pigs 2019 ·Genetics Selection Evolution ·Ole Fredslund Christensen, Bjarne Nielsen, Guosheng Su, Tao Xiang, Per Madsen, Tage Ostersen, (unknown), Anders Bjerring Strathe	17
9	Estimation of variance components and prediction of breeding values based on group records from varying group sizes 2018 ·Genetics Selection Evolution ·Guosheng Su, Per Madsen, Bjarne Nielsen, Tage Ostersen, Mahmoud Shirali, Just Jensen, Ole Fredslund Christensen	15
10	Sparse single-step method for genomic evaluation in pigs 2016 ·Genetics Selection Evolution ·Tage Ostersen, Ole Fredslund Christensen, Per Madsen, Mark Henryon	18
11	Increased prediction accuracy using a genomic feature model including prior information on quantitative trait locus regions in purebred Danish Duroc pigs 2016 ·BMC Genetics ·Pernille Sarup, Just Jensen, Tage Ostersen, Mark Henryon, Peter Sørensen	61
12	Genomic prediction using models with dominance and imprinting effects for backfat thickness and average daily gain in Danish Duroc pigs 2016 ·Genetics Selection Evolution ·Xiangyu Guo, Ole Fredslund Christensen, Tage Ostersen, Yachun Wang, Mogens Sandø Lund, Guosheng Su	25
13	Most of the long-term genetic gain from optimum-contribution selection can be realised with restrictions imposed during optimisation 2015 ·Genetics Selection Evolution ·Mark Henryon, Tage Ostersen, B. Ask, Anders Christian Sørensen, Peer Berg	26
14	Genome-wide association and systems genetic analyses of residual feed intake, daily feed consumption, backfat and weight gain in pigs 2014 ·BMC Genetics ·Duy Ngoc, Tage Ostersen, Anders Bjerring Strathe, Thomas Mark, Just Jensen, Haja N. Kadarmideen	90
15	Genome-wide association and pathway analysis of feed efficiency in pigs reveal candidate genes and pathways for residual feed intake 2014 ·Frontiers in Genetics ·Duy Ngoc, Anders Bjerring Strathe, Tage Ostersen, Sameer D. Pant, Haja N. Kadarmideen	83
16	Genome-Wide Association Study Reveals Genetic Architecture of Eating Behavior in Pigs and Its Implications for Humans Obesity by Comparative Mapping 2013 ·PLoS ONE ·Duy Ngoc, Anders Bjerring Strathe, Tage Ostersen, Just Jensen, Thomas Mark, Haja N. Kadarmideen	72
17	Genome-wide and local pattern of linkage disequilibrium and persistence of phase for 3 Danish pig breeds 2013 ·BMC Genetics ·Lei Wang, Peter Sørensen, Luc Janss, Tage Ostersen, David Edwards	41
18	Single-step methods for genomic evaluation in pigs 2012 ·animal ·Ole Fredslund Christensen, Per Madsen, Bjarne Nielsen, Tage Ostersen, Guohai Su	239
19	Estimating Additive and Non-Additive Genetic Variances and Predicting Genetic Merits Using Genome-Wide Dense Single Nucleotide Polymorphism Markers 2012 ·PLoS ONE ·Guosheng Su, Ole Fredslund Christensen, Tage Ostersen, Mark Henryon, Mogens Sandø Lund	260
20	Detecting oestrus by monitoring sows’ visits to a boar 2010 ·Computers and Electronics in Agriculture ·Tage Ostersen, Cécile Cornou, Anders Ringgaard Kristensen	32

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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