T. Ådnøy

2.0k total citations
81 papers, 1.6k citations indexed

About

T. Ådnøy is a scholar working on Genetics, Agronomy and Crop Science and Animal Science and Zoology. According to data from OpenAlex, T. Ådnøy has authored 81 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Genetics, 46 papers in Agronomy and Crop Science and 17 papers in Animal Science and Zoology. Recurrent topics in T. Ådnøy's work include Genetic and phenotypic traits in livestock (43 papers), Reproductive Physiology in Livestock (19 papers) and Milk Quality and Mastitis in Dairy Cows (14 papers). T. Ådnøy is often cited by papers focused on Genetic and phenotypic traits in livestock (43 papers), Reproductive Physiology in Livestock (19 papers) and Milk Quality and Mastitis in Dairy Cows (14 papers). T. Ådnøy collaborates with scholars based in Norway, Sweden and Ethiopia. T. Ådnøy's co-authors include L. Söderquist, H Paulenz, K. Andersen Berg, Lars Olav Eik, Binyam S. Dagnachew, Tove Gulbrandsen Devold, Øystein Holand, G. Klemetsdal, Geir Steinheim and Sigbjørn Lien and has published in prestigious journals such as PLoS ONE, Genetics and Journal of Dairy Science.

In The Last Decade

T. Ådnøy

80 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
T. Ådnøy Norway 23 858 727 398 267 249 81 1.6k
Raphael Mrode United Kingdom 26 1.2k 1.4× 2.0k 2.7× 736 1.8× 110 0.4× 247 1.0× 149 2.8k
G. Gandini Italy 23 260 0.3× 751 1.0× 622 1.6× 188 0.7× 90 0.4× 76 1.6k
José E. García Mexico 18 529 0.6× 347 0.5× 269 0.7× 61 0.2× 129 0.5× 90 1.0k
M. J. Carabaño Spain 24 640 0.7× 1.1k 1.6× 809 2.0× 48 0.2× 82 0.3× 84 1.7k
J. Piedrafita Spain 22 333 0.4× 803 1.1× 619 1.6× 106 0.4× 55 0.2× 74 1.5k
Maria Eugênia Zerlotti Mercadante Brazil 26 936 1.1× 1.6k 2.3× 774 1.9× 57 0.2× 77 0.3× 164 2.1k
J.M. Burke United States 33 1.4k 1.6× 952 1.3× 1.3k 3.2× 115 0.4× 133 0.5× 130 3.5k
Birgit Fuerst‐Waltl Austria 22 744 0.9× 975 1.3× 487 1.2× 72 0.3× 41 0.2× 113 1.4k
T.A. Gipson United States 20 990 1.2× 760 1.0× 549 1.4× 152 0.6× 27 0.1× 98 1.6k
Henrique Nunes de Oliveira Brazil 33 1.3k 1.5× 2.7k 3.7× 1.1k 2.8× 79 0.3× 195 0.8× 226 3.7k

Countries citing papers authored by T. Ådnøy

Since Specialization
Citations

This map shows the geographic impact of T. Ådnøy'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 T. Ådnøy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Ådnøy more than expected).

Fields of papers citing papers by T. Ådnøy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Ådnøy

This figure shows the co-authorship network connecting the top 25 collaborators of T. Ådnøy. A scholar is included among the top collaborators of T. Ådnøy 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 T. Ådnøy. T. Ådnøy 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.
Ådnøy, T., et al.. (2020). Phenotypic and Genetic Parameter Estimation for Growth Traits in Juvenile Large Yellow Croaker (Larimichthys crocea). Fisheries and Aquaculture Journal. 11(1). 1–5. 1 indexed citations
2.
Kifaro, G.C., et al.. (2017). Use of simulation to examine a dairy goat breeding program in Tanzania.. Livestock research for rural development. 29(3). 1 indexed citations
3.
Ådnøy, T.. (2014). The dairy goat industry in Norway: Challenges in a historical perspective. Small Ruminant Research. 122(1-3). 4–9. 10 indexed citations
4.
Dagnachew, Binyam S., Achim Köhler, & T. Ådnøy. (2013). Genetic and environmental information in goat milk Fourier transform infrared spectra. Journal of Dairy Science. 96(6). 3973–3985. 16 indexed citations
5.
Ådnøy, T., et al.. (2013). Newly identified mutations at the CSN1S1 gene in Ethiopian goats affect casein content and coagulation properties of their milk. Journal of Dairy Science. 96(8). 4857–4869. 21 indexed citations
6.
Andonov, Sreten, et al.. (2013). Comparison of random regression and repeatability models to predict breeding values from test-day records of Norwegian goats. Journal of Dairy Science. 96(3). 1834–1843. 13 indexed citations
7.
Dagnachew, Binyam S., T.H.E. Meuwissen, & T. Ådnøy. (2013). Genetic components of milk Fourier-transform infrared spectra used to predict breeding values for milk composition and quality traits in dairy goats. Journal of Dairy Science. 96(9). 5933–5942. 19 indexed citations
8.
Eik, Lars Olav, et al.. (2012). The role of indigenous knowledge and perceptions of pastoral communities on traditional grazing management in north-western Tanzania.. African Journal of Agricultural Research. 7(40). 5537–5547. 18 indexed citations
9.
Tolera, Adugna, et al.. (2012). SEASONAL VARIATION IN NUTRITIVE VALUE OF SOME BROWSE AND GRASS SPECIES IN BORANA RANGELAND, SOUTHERN ETHIOPIA. Tropical and Subtropical Agroecosystems. 15(2). 261–271. 17 indexed citations
10.
Gjuvsland, Arne B., Erik Plahte, T. Ådnøy, & Stig W. Omholt. (2010). Allele Interaction – Single Locus Genetics Meets Regulatory Biology. PLoS ONE. 5(2). e9379–e9379. 16 indexed citations
11.
Finocchiaro, Raffaella, Ben J. Hayes, Maria Siwek, et al.. (2008). Comparison of casein haplotypes between two geographically distant European dairy goat breeds. Journal of Animal Breeding and Genetics. 125(1). 68–72. 7 indexed citations
12.
Nordstoga, Anne Bang, L. Söderquist, T. Ådnøy, & H Paulenz. (2008). Effect of Different Packages and Freezing/Thawing Protocols on Fertility of Ram Semen. Reproduction in Domestic Animals. 44(3). 527–531. 20 indexed citations
13.
Martens, Harald, Achim Köhler, Nils Kristian Afseth, et al.. (2007). High-throughput measurements for functionalgenomics of milk. Journal of Animal and Feed Sciences. 16(Suppl. 1). 172–189. 4 indexed citations
14.
Steinheim, Geir, Jørgen Ødegård, T. Ådnøy, & G. Klemetsdal. (2007). Genotype by environment interaction for lamb weaning weight in two Norwegian sheep breeds1. Journal of Animal Science. 86(1). 33–39. 30 indexed citations
15.
Andonov, Sreten, Jørgen Ødegård, I.A. Boman, et al.. (2007). Validation of Test-Day Models for Genetic Evaluation of Dairy Goats in Norway. Journal of Dairy Science. 90(10). 4863–4871. 23 indexed citations
17.
Steinheim, Geir, T. Ådnøy, T.H.E. Meuwissen, & G. Klemetsdal. (2004). Indications of breed by environment interaction for lamb weights in Norwegian sheep breeds. Acta Agriculturae Scandinavica Section A – Animal Science. 54(4). 193–196. 8 indexed citations
18.
Steinheim, Geir, et al.. (2004). Climatic variability and effects on ungulate body weight: the case of domestic sheep. Annales Zoologici Fennici. 41(3). 525–538. 18 indexed citations
19.
Weladji, Robert B., et al.. (2003). Temporal patterns of juvenile body weight variability in sympatric reindeer and sheep. Annales Zoologici Fennici. 40(1). 17–26. 13 indexed citations
20.
Eide, Dag M., T. Ådnøy, G. Klemetsdal, Live L. Nesse, & H. J. Larsen. (1991). Selection for immune response in goats: the antibody response to diphtheria toxoid after 12 years of selection. Journal of Animal Science. 69(10). 3967–3976. 12 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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