Younes Miar

883 total citations
52 papers, 565 citations indexed

About

Younes Miar is a scholar working on Genetics, Animal Science and Zoology and Molecular Biology. According to data from OpenAlex, Younes Miar has authored 52 papers receiving a total of 565 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Genetics, 22 papers in Animal Science and Zoology and 10 papers in Molecular Biology. Recurrent topics in Younes Miar's work include Genetic and phenotypic traits in livestock (35 papers), Genetic Mapping and Diversity in Plants and Animals (20 papers) and Animal Nutrition and Physiology (9 papers). Younes Miar is often cited by papers focused on Genetic and phenotypic traits in livestock (35 papers), Genetic Mapping and Diversity in Plants and Animals (20 papers) and Animal Nutrition and Physiology (9 papers). Younes Miar collaborates with scholars based in Canada, Iran and Australia. Younes Miar's co-authors include Graham Plastow, Duy Ngoc, Mehdi Sargolzaei, Zhiquan Wang, Heather L. Bruce, S. S. Moore, Ghader Manafiazar, Abe Huisman, Chunyan Zhang and Robert M. McKay and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Younes Miar

50 papers receiving 548 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Younes Miar Canada 14 416 226 82 71 67 52 565
A. Tomás Spain 13 379 0.9× 145 0.6× 88 1.1× 65 0.9× 77 1.1× 26 530
Brittney N. Keel United States 13 268 0.6× 113 0.5× 142 1.7× 82 1.2× 73 1.1× 46 471
Krishnamoorthy Srikanth South Korea 14 234 0.6× 202 0.9× 146 1.8× 99 1.4× 54 0.8× 47 501
Lucas Lima Verardo Brazil 13 398 1.0× 151 0.7× 109 1.3× 131 1.8× 112 1.7× 41 539
Sarah Laguna Conceição Meirelles Brazil 14 356 0.9× 156 0.7× 76 0.9× 78 1.1× 112 1.7× 41 538
Renata Veroneze Brazil 15 481 1.2× 254 1.1× 74 0.9× 79 1.1× 143 2.1× 77 680
Eui-Soo Kim United States 15 576 1.4× 151 0.7× 93 1.1× 110 1.5× 121 1.8× 20 668
Annett Weigend Germany 12 331 0.8× 331 1.5× 92 1.1× 22 0.3× 44 0.7× 24 552
Ewa Sell‐Kubiak Poland 12 282 0.7× 211 0.9× 46 0.6× 39 0.5× 76 1.1× 38 471
Hanpeng Luo China 15 290 0.7× 293 1.3× 161 2.0× 99 1.4× 222 3.3× 49 676

Countries citing papers authored by Younes Miar

Since Specialization
Citations

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

Fields of papers citing papers by Younes Miar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Younes Miar

This figure shows the co-authorship network connecting the top 25 collaborators of Younes Miar. A scholar is included among the top collaborators of Younes Miar 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 Younes Miar. Younes Miar 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.
Lei, Yaogeng, et al.. (2025). Optimization of the feed intake test period in sheep production. Canadian Journal of Animal Science. 105. 1–8.
2.
Mousavi, Seyed Mohammad Nasir, Árpád Illés, Csaba Bojtor, et al.. (2025). Effect of harvest time on sugar content and carotenoid composition in different sweet maize hybrids. Scientific Reports. 15(1). 25758–25758.
3.
Shirzadifar, Alimohammad, et al.. (2024). Prediction of growth and feed efficiency in mink using machine learning algorithms. animal. 19(2). 101330–101330. 2 indexed citations
4.
Ngoc, Duy, Bruce Rathgeber, Stefanie M. Colombo, et al.. (2024). Identification of consensus homozygous regions and their associations with growth and feed efficiency traits in American mink. BMC Genomic Data. 25(1). 68–68. 1 indexed citations
5.
Colombo, Stefanie M., et al.. (2024). Genome-wide association studies for economically important traits in mink using copy number variation. Scientific Reports. 14(1). 24–24. 3 indexed citations
6.
Ngoc, Duy, Bruce Rathgeber, Stefanie M. Colombo, et al.. (2024). Characterization of runs of homozygosity islands in American mink using whole‐genome sequencing data. Journal of Animal Breeding and Genetics. 141(5). 507–520. 1 indexed citations
7.
Larsen, Lars Erik, et al.. (2023). Investigation of the SARS-CoV-2 post-vaccination antibody response in Canadian farmed mink. Vaccine. 41(49). 7387–7394. 1 indexed citations
8.
Zhang, Zeyu, Younes Miar, David Huyben, & Stefanie M. Colombo. (2023). Omega‐3 long‐chain polyunsaturated fatty acids in Atlantic salmon: Functions, requirements, sources, de novo biosynthesis and selective breeding strategies. Reviews in Aquaculture. 16(3). 1030–1041. 17 indexed citations
9.
Boulianne, Martine, et al.. (2022). Red osier dogwood and its use in animal nutrition: A review. Animal nutrition. 13. 64–77. 3 indexed citations
10.
11.
Farid, A., et al.. (2021). Detection of selection signatures for response to Aleutian mink disease virus infection in American mink. Scientific Reports. 11(1). 2944–2944. 16 indexed citations
12.
Banabazi, Mohammad Hossein, et al.. (2020). A genome-wide signatures of selection study of Welsh ponies and draft horses revealed five genes associated with horse type variation. Gene Reports. 21. 100833–100833. 7 indexed citations
13.
Miar, Younes, Graham Plastow, Zhiquan Wang, & Mehdi Sargolzaei. (2020). PSVII-39 Late-Breaking Abstract: Enhancing production and Aleutian disease resilience in mink through advanced genomics. Journal of Animal Science. 98(Supplement_4). 342–342. 1 indexed citations
14.
Sargolzaei, Mehdi, et al.. (2019). Opportunities for genomic selection in American mink: A simulation study. PLoS ONE. 14(3). e0213873–e0213873. 13 indexed citations
15.
Sargolzaei, Mehdi, et al.. (2018). Genetic and phenotypic parameters for litter size, survival rate, gestation length, and litter weight traits in American mink1. Journal of Animal Science. 96(7). 2596–2606. 19 indexed citations
16.
Wang, Zhiquan, et al.. (2017). A genome-wide association study of meat colour in commercial crossbred pigs. Canadian Journal of Animal Science. 97(4). 721–733. 4 indexed citations
17.
Zhang, Chunyan, Heather L. Bruce, Nicholas Boddicker, et al.. (2016). Genome Wide Association Studies (GWAS) Identify QTL on SSC2 and SSC17 Affecting Loin Peak Shear Force in Crossbred Commercial Pigs. PLoS ONE. 11(2). e0145082–e0145082. 7 indexed citations
18.
Miar, Younes, Graham Plastow, S. S. Moore, et al.. (2014). Genetic and phenotypic parameters for carcass and meat quality traits in commercial crossbred pigs1. Journal of Animal Science. 92(7). 2869–2884. 77 indexed citations
19.
Miar, Younes, Graham Plastow, Heather L. Bruce, et al.. (2014). Genomic Selection of Pork pH in Purebred Pigs for Crossbred Performance. Proceedings of the World Congress on Genetics Applied to Livestock Production. 58. 3 indexed citations
20.
Miar, Younes, et al.. (2011). STUDY OF POLYMORPHISM IN MYOSTATIN GENE IN CHAAL, ZEL AND ZANDI IRANIAN SHEEP BREEDS. Animal Production. 13(1). 33–40. 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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2026