Sonja Dominik

1.4k total citations
48 papers, 1.0k citations indexed

About

Sonja Dominik is a scholar working on Genetics, Agronomy and Crop Science and Animal Science and Zoology. According to data from OpenAlex, Sonja Dominik has authored 48 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Genetics, 16 papers in Agronomy and Crop Science and 13 papers in Animal Science and Zoology. Recurrent topics in Sonja Dominik's work include Genetic and phenotypic traits in livestock (35 papers), Genetic Mapping and Diversity in Plants and Animals (15 papers) and Ruminant Nutrition and Digestive Physiology (11 papers). Sonja Dominik is often cited by papers focused on Genetic and phenotypic traits in livestock (35 papers), Genetic Mapping and Diversity in Plants and Animals (15 papers) and Ruminant Nutrition and Digestive Physiology (11 papers). Sonja Dominik collaborates with scholars based in Australia, United States and Norway. Sonja Dominik's co-authors include John Henshall, Ben J. Hayes, Laércio R. Porto-Neto, V. H. Oddy, Ian G. Colditz, J. H. J. van der Werf, Hans D. Daetwyler, Antônio Reverter, Sigrid A. Lehnert and William S. Davidson and has published in prestigious journals such as Journal of Cleaner Production, Journal of Agricultural and Food Chemistry and Aquaculture.

In The Last Decade

Sonja Dominik

45 papers receiving 993 citations

Peers

Sonja Dominik

GENET

ASZ

ACS

ECOLO

L.R. Piper Australia

Oswald Matika United Kingdom

Florence Phocas France

Valentina Riggio United Kingdom

D. Waddington United Kingdom

Ajoy Mandal India

Amadou Traoré Burkina Faso

Hugo H. Montaldo Mexico

Scott Newman United States

Szilvia Kusza Hungary

L.R. Piper Australia

Sonja Dominik

609 ×1.0

GENET

449 ×1.7

293 ×1.4

ASZ

360 ×2.1

ACS

222 ×1.4

ECOLO

Citations per year, relative to Sonja Dominik Sonja Dominik (= 1×) peers L.R. Piper

Countries citing papers authored by Sonja Dominik

Since Specialization

Citations

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

Fields of papers citing papers by Sonja Dominik

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sonja Dominik

This figure shows the co-authorship network connecting the top 25 collaborators of Sonja Dominik. A scholar is included among the top collaborators of Sonja Dominik 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 Sonja Dominik. Sonja Dominik 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

Colditz, Ian G., E. Grace Smith, Aaron Ingham, & Sonja Dominik. (2023). Indicators of functional integrity in production animals. Animal Production Science. 63(9). 825–843. 7 indexed citations

Ridoutt, Bradley G., Sigrid A. Lehnert, Stuart E. Denman, et al.. (2022). Potential GHG emission benefits of Asparagopsis taxiformis feed supplement in Australian beef cattle feedlots. Journal of Cleaner Production. 337. 130499–130499. 45 indexed citations

Colgrave, Michelle L., Sonja Dominik, Aarti B. Tobin, et al.. (2021). Perspectives on Future Protein Production. Journal of Agricultural and Food Chemistry. 69(50). 15076–15083. 69 indexed citations

Thomas, D., Yacob Beletse, Sonja Dominik, & Sigrid A. Lehnert. (2021). Net protein contribution and enteric methane production of pasture and grain-finished beef cattle supply chains. animal. 15(12). 100392–100392. 18 indexed citations

Robinson, D. L., et al.. (2020). Repeatabilities, heritabilities and correlations of methane and feed intake of sheep in respiration and portable chambers. Animal Production Science. 60(7). 880–892. 13 indexed citations

Alexandre, Pâmela A., Antônio Reverter, Sigrid A. Lehnert, Laércio R. Porto-Neto, & Sonja Dominik. (2020). In silico validation of pooled genotyping strategies for genomic evaluation in Angus cattle. Journal of Animal Science. 98(6). 4 indexed citations

McNally, Jody, Daniel Smith, Ashfaqur Rahman, et al.. (2019). Quantification of differences in resistance to gastrointestinal nematode infections in sheep using a multivariate blood parameter. Veterinary Parasitology. 270. 31–39. 9 indexed citations

Dominik, Sonja, et al.. (2018). Commercial records from DNA pooling can augment classical information sources in an Australian Angus selection index to increase accuracy. Proceedings of the World Congress on Genetics Applied to Livestock Production. 94. 1 indexed citations

Henshall, John, Laércio R. Porto-Neto, Sonja Dominik, et al.. (2017). Estimating the genetic merit of sires by using pooled DNA from progeny of undetermined pedigree. Genetics Selection Evolution. 49(1). 28–28. 17 indexed citations

10.

Newton, J. E., D. J. Brown, Sonja Dominik, & J. H. J. van der Werf. (2016). Impact of young ewe fertility rate on risk and genetic gain in sheep-breeding programs using genomic selection. Animal Production Science. 57(8). 1653–1664. 8 indexed citations

11.

Dominik, Sonja. (2013). Descriptive Statistics of Data: Understanding the Data Set and Phenotypes of Interest. Methods in molecular biology. 1019. 19–35. 1 indexed citations

12.

Newton, J. E., et al.. (2013). Age at first oestrus. A useful trait for early reproductive performance. RUNE (Research UNE). 86–89.

13.

Henshall, John, Rachel Hawken, Sonja Dominik, & W. Barendse. (2012). Estimating the effect of SNP genotype on quantitative traits from pooled DNA samples. Genetics Selection Evolution. 44(1). 12–12. 23 indexed citations

14.

Kent, Matthew, et al.. (2012). Chromosomal differences between European and North American Atlantic salmon discovered by linkage mapping and supported by fluorescence in situ hybridization analysis. BMC Genomics. 13(1). 66 indexed citations

15.

Dominik, Sonja, John Henshall, & Ben J. Hayes. (2011). A single nucleotide polymorphism on chromosome 10 is highly predictive for the polled phenotype in Australian Merino sheep. Animal Genetics. 43(4). 468–470. 28 indexed citations

16.

Kemper, Kathryn E., D.L. Emery, Stephen Bishop, et al.. (2011). The distribution of SNP marker effects for faecal worm egg count in sheep, and the feasibility of using these markers to predict genetic merit for resistance to worm infections. Genetics Research. 93(3). 203–219. 67 indexed citations

17.

Dominik, Sonja, Peter Hunt, Jody McNally, et al.. (2010). Detection of quantitative trait loci for internal parasite resistance in sheep. I. Linkage analysis in a Romney×Merino sheep backcross population. Parasitology. 137(8). 1275–1282. 31 indexed citations

18.

Colditz, Ian G., et al.. (2008). Genetic resistance to growth of Lucilia cuprina larvae in Merino sheep. Australian Journal of Experimental Agriculture. 48(9). 1210–1210. 7 indexed citations

19.

Jambre, L.F. Le, Sonja Dominik, SJ Eady, John Henshall, & Ian G. Colditz. (2007). Adjusting worm egg counts for faecal moisture in sheep. Veterinary Parasitology. 145(1-2). 108–115. 53 indexed citations

20.

Dominik, Sonja, et al.. (2007). Factors influencing the efficiency of a marker-assisted introgression programme in Merino sheep. Genetics Selection Evolution. 39(5). 495–511. 3 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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