Jørgen Ødegård

4.2k total citations
123 papers, 3.2k citations indexed

About

Jørgen Ødegård is a scholar working on Genetics, Aquatic Science and Nature and Landscape Conservation. According to data from OpenAlex, Jørgen Ødegård has authored 123 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Genetics, 37 papers in Aquatic Science and 28 papers in Nature and Landscape Conservation. Recurrent topics in Jørgen Ødegård's work include Genetic and phenotypic traits in livestock (80 papers), Aquaculture Nutrition and Growth (35 papers) and Genetic Mapping and Diversity in Plants and Animals (32 papers). Jørgen Ødegård is often cited by papers focused on Genetic and phenotypic traits in livestock (80 papers), Aquaculture Nutrition and Growth (35 papers) and Genetic Mapping and Diversity in Plants and Animals (32 papers). Jørgen Ødegård collaborates with scholars based in Norway, Denmark and Vietnam. Jørgen Ødegård's co-authors include Bjarne Gjerde, G. Klemetsdal, T.H.E. Meuwissen, B. Heringstad, Ingrid Olesen, Matthew Baranski, Per Madsen, Trygve Gjedrem, O. Vangen and Anna K. Sonesson and has published in prestigious journals such as Scientific Reports, Genetics and Journal of Dairy Science.

In The Last Decade

Jørgen Ødegård

122 papers receiving 3.1k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jørgen Ødegård 1.8k 1.1k 1.1k 525 506 123 3.2k
Anna K. Sonesson 2.3k 1.3× 693 0.6× 384 0.4× 358 0.7× 260 0.5× 84 2.9k
Henk Bovenhuis 1.9k 1.0× 779 0.7× 170 0.2× 529 1.0× 429 0.8× 77 2.7k
Stephen Bishop 1.7k 1.0× 453 0.4× 529 0.5× 779 1.5× 647 1.3× 97 3.1k
D. R. Guy 1.2k 0.6× 1.3k 1.2× 886 0.8× 277 0.5× 159 0.3× 43 2.3k
Matthew Kent 3.0k 1.7× 620 0.6× 387 0.4× 715 1.4× 295 0.6× 125 4.8k
Timothy D. Leeds 1.1k 0.6× 731 0.7× 794 0.8× 204 0.4× 170 0.3× 77 2.0k
Oswald Matika 1.4k 0.8× 414 0.4× 268 0.3× 553 1.1× 433 0.9× 77 2.3k
José M. Yáñez 1.8k 1.0× 1.2k 1.2× 959 0.9× 149 0.3× 94 0.2× 119 2.8k
G. Klemetsdal 2.7k 1.5× 348 0.3× 309 0.3× 593 1.1× 1.7k 3.4× 144 3.7k
Peer Berg 1.6k 0.9× 237 0.2× 243 0.2× 744 1.4× 541 1.1× 112 2.6k

Countries citing papers authored by Jørgen Ødegård

Since Specialization
Citations

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

Fields of papers citing papers by Jørgen Ødegård

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jørgen Ødegård

This figure shows the co-authorship network connecting the top 25 collaborators of Jørgen Ødegård. A scholar is included among the top collaborators of Jørgen Ødegård 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 Jørgen Ødegård. Jørgen Ødegård 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.
Ruttink, Tom, Franz Goecke, G. Klemetsdal, et al.. (2025). Genetic transmission, self-fertilization, apomixis and triploidy in mixed hybridizations of sugar kelp (Saccharina latissima). Aquaculture. 610. 742928–742928.
2.
Ruttink, Tom, Franz Goecke, Ole Jacob Broch, et al.. (2024). Characterization of fine geographic scale population genetics in sugar kelp (Saccharina latissima) using genome-wide markers. BMC Genomics. 25(1). 901–901. 4 indexed citations
3.
Moen, Thomas, et al.. (2023). GWAS meta-analysis of resistance against Piscirickettsia salmonis in Atlantic salmon. Aquaculture. 579. 740249–740249. 2 indexed citations
4.
Mathiessen, Heidi, Moonika Haahr Marana, Shaozhi Zuo, et al.. (2023). Validation of a QTL for Flavobacterium psychrophilum resistance in rainbow trout Oncorhynchus mykiss. Aquaculture Reports. 30. 101573–101573. 7 indexed citations
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Ødegård, Jørgen, et al.. (2020). Genetic analysis of resistance in Mekong striped catfish (Pangasianodon hypophthalmus) to bacillary necrosis caused by Edwardsiella ictaluri. Journal of Fish Diseases. 44(2). 201–210. 7 indexed citations
9.
Jaafar, Rzgar M., Jørgen Ødegård, Heidi Mathiessen, et al.. (2020). Quantitative trait loci (QTL) associated with resistance of rainbow trout Oncorhynchus mykiss against the parasitic ciliate Ichthyophthirius multifiliis. Journal of Fish Diseases. 43(12). 1591–1602. 31 indexed citations
10.
Ødegård, Jørgen, et al.. (2015). Genetic variation in efficiency to deposit fat and lean meat in Norwegian Landrace and Duroc pigs1. Journal of Animal Science. 93(8). 3794–3800. 12 indexed citations
11.
Moen, Thomas & Jørgen Ødegård. (2014). Genomics in Selective Breeding of Atlantic Salmon. Proceedings of the World Congress on Genetics Applied to Livestock Production. 267. 2 indexed citations
12.
Ødegård, Jørgen. (2014). Genomic Predictions in Aquaculture: Reliabilities in an Admixed Atlantic Salmon Population. 3 indexed citations
13.
Jacq, Céleste, Jørgen Ødegård, Hans B. Bentsen, & Bjarne Gjerde. (2011). A review of genetic influences from escaped farmed Atlantic salmon on wild Atlantic salmon populations. Duo Research Archive (University of Oslo). 3 indexed citations
14.
Gjerlaug‐Enger, Eli, Jørgen Kongsro, Jørgen Ødegård, L. Aass, & O. Vangen. (2011). Genetic parameters between slaughter pig efficiency and growth rate of different body tissues estimated by computed tomography in live boars of Landrace and Duroc. animal. 6(1). 9–18. 47 indexed citations
15.
Gjerlaug‐Enger, Eli, L. Aass, Jørgen Ødegård, & O. Vangen. (2010). Genetic parameters of meat quality traits in two pig breeds measured by rapid methods. animal. 4(11). 1832–1843. 61 indexed citations
16.
Ødegård, Jørgen, Anna K. Sonesson, M. Hossein Yazdi, & T.H.E. Meuwissen. (2009). Introgression of a major QTL from an inferior into a superior population using genomic selection. Genetics Selection Evolution. 41(1). 38–38. 20 indexed citations
17.
Norberg, E., G.W. Rogers, Jørgen Ødegård, J.B. Cooper, & Per Madsen. (2006). Short Communication: Genetic Correlation Between Test-Day Electrical Conductivity of Milk and Mastitis. Journal of Dairy Science. 89(2). 779–781. 12 indexed citations
18.
Madsen, Peder & Jørgen Ødegård. (2006). Analysis of test day somatic cell score using a liability-normal mixture model. Bulletin - International Bull Evaluation Service/Interbull bulletin. 185. 1 indexed citations
19.
Ødegård, Jørgen, Just Jensen, Per Madsen, et al.. (2003). Detection of Mastitis in Dairy Cattle by Use of Mixture Models for Repeated Somatic Cell Scores: A Bayesian Approach via Gibbs Sampling. Journal of Dairy Science. 86(11). 3694–3703. 30 indexed citations
20.
Ødegård, Jørgen, G. Klemetsdal, & B. Heringstad. (2003). Genetic Improvement of Mastitis Resistance: Validation of Somatic Cell Score and Clinical Mastitis as Selection Criteria. Journal of Dairy Science. 86(12). 4129–4136. 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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