James Kijas

9.5k total citations · 1 hit paper
98 papers, 4.7k citations indexed

About

James Kijas is a scholar working on Genetics, Molecular Biology and Cancer Research. According to data from OpenAlex, James Kijas has authored 98 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Genetics, 34 papers in Molecular Biology and 12 papers in Cancer Research. Recurrent topics in James Kijas's work include Genetic and phenotypic traits in livestock (69 papers), Genetic Mapping and Diversity in Plants and Animals (43 papers) and Genetic diversity and population structure (28 papers). James Kijas is often cited by papers focused on Genetic and phenotypic traits in livestock (69 papers), Genetic Mapping and Diversity in Plants and Animals (43 papers) and Genetic diversity and population structure (28 papers). James Kijas collaborates with scholars based in Australia, United States and United Kingdom. James Kijas's co-authors include Jennifer R. S. Meadows, Laércio R. Porto-Neto, John C. McEwan, Russell McCulloch, Ben J. Hayes, Brian P. Dalrymple, Antônio Reverter, W. Barendse, Vicki Whan and Herman W. Raadsma and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Journal of Virology.

In The Last Decade

James Kijas

96 papers receiving 4.6k citations

Hit Papers

Genome-Wide Analysis of the World's Sheep Breeds Reveals ... 2012 2026 2016 2021 2012 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James Kijas Australia 39 3.8k 1.1k 859 505 432 98 4.7k
Herman W. Raadsma Australia 37 2.9k 0.8× 633 0.6× 533 0.6× 689 1.4× 586 1.4× 117 4.5k
David E. MacHugh Ireland 44 4.2k 1.1× 1.8k 1.6× 833 1.0× 754 1.5× 569 1.3× 151 6.8k
W. Barendse Australia 38 3.9k 1.0× 852 0.7× 745 0.9× 764 1.5× 989 2.3× 153 5.0k
Hendrik‐Jan Megens Netherlands 40 4.0k 1.0× 1.2k 1.0× 694 0.8× 309 0.6× 948 2.2× 112 5.2k
Laércio R. Porto-Neto Australia 29 2.7k 0.7× 538 0.5× 765 0.9× 757 1.5× 455 1.1× 119 3.4k
Robert D. Schnabel United States 43 6.2k 1.6× 1.5k 1.3× 1.2k 1.4× 1.3k 2.6× 749 1.7× 126 7.8k
S. Dunner Spain 30 2.6k 0.7× 1.9k 1.6× 240 0.3× 381 0.8× 635 1.5× 119 4.2k
R.P.M.A. Crooijmans Netherlands 47 5.6k 1.5× 2.1k 1.8× 694 0.8× 348 0.7× 1.9k 4.4× 211 7.6k
Carl‐Johan Rubin Sweden 32 2.9k 0.8× 1.5k 1.3× 405 0.5× 155 0.3× 766 1.8× 73 4.6k
Michèle Tixier‐Boichard France 34 2.5k 0.7× 1.1k 1.0× 171 0.2× 285 0.6× 2.0k 4.7× 120 4.8k

Countries citing papers authored by James Kijas

Since Specialization
Citations

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

Fields of papers citing papers by James Kijas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Kijas

This figure shows the co-authorship network connecting the top 25 collaborators of James Kijas. A scholar is included among the top collaborators of James Kijas 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 James Kijas. James Kijas 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.
2.
Naval-Sánchez, Marina, Laércio R. Porto-Neto, Diércles F. Cardoso, et al.. (2020). Selection signatures in tropical cattle are enriched for promoter and coding regions and reveal missense mutations in the damage response gene HELB. Genetics Selection Evolution. 52(1). 27–27. 25 indexed citations
3.
Nguyen, Quan, Ross L. Tellam, Marina Naval-Sánchez, et al.. (2018). Mammalian genomic regulatory regions predicted by utilizing human genomics, transcriptomics, and epigenetics data. GigaScience. 7(3). 1–17. 26 indexed citations
4.
Kijas, James, Sean McWilliam, Marina Naval-Sánchez, et al.. (2018). Evolution of Sex Determination Loci in Atlantic Salmon. Scientific Reports. 8(1). 5664–5664. 36 indexed citations
5.
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
6.
Yang, Liu, Lingyang Xu, Yang Zhou, et al.. (2017). Diversity of copy number variation in a worldwide population of sheep. Genomics. 110(3). 143–148. 55 indexed citations
7.
Brito, Luiz F., James Kijas, Ricardo Vieira Ventura, et al.. (2017). Genetic diversity and signatures of selection in various goat breeds revealed by genome-wide SNP markers. BMC Genomics. 18(1). 229–229. 138 indexed citations
8.
Goddard, Michael E., Michael A. Black, Rüdiger Bräuning, et al.. (2016). Copy number variants in the sheep genome detected using multiple approaches. BMC Genomics. 17(1). 441–441. 29 indexed citations
9.
Gorkhali, Neena Amatya, Kunzhe Dong, Min Yang, et al.. (2016). Genomic analysis identified a potential novel molecular mechanism for high-altitude adaptation in sheep at the Himalayas. Scientific Reports. 6(1). 29963–29963. 37 indexed citations
10.
Pérez‐Enciso, Miguel, G. de los Campos, Nicholas J. Hudson, James Kijas, & Antônio Reverter. (2016). The ‘heritability’ of domestication and its functional partitioning in the pig. Heredity. 118(2). 160–168. 5 indexed citations
11.
Dong, Yang, Xiaolei Zhang, Min Xie, et al.. (2015). Reference genome of wild goat (capra aegagrus) and sequencing of goat breeds provide insight into genic basis of goat domestication. BMC Genomics. 16(1). 431–431. 76 indexed citations
12.
Hudson, Nicholas J., et al.. (2014). Compression Efficiency Relationship Matrix: Developing New Methods to Determine Genomic Relationships for Improved Breeding. Proceedings of the World Congress on Genetics Applied to Livestock Production. 473. 1 indexed citations
13.
Kijas, James, Johannes A. Lenstra, Ben J. Hayes, et al.. (2012). Genome-Wide Analysis of the World's Sheep Breeds Reveals High Levels of Historic Mixture and Strong Recent Selection. PLoS Biology. 10(2). e1001258–e1001258. 619 indexed citations breakdown →
14.
Mömke, S., Anne Wöhlke, Marion Hewicker‐Trautwein, et al.. (2011). A Frameshift Mutation within LAMC2 Is Responsible for Herlitz Type Junctional Epidermolysis Bullosa (HJEB) in Black Headed Mutton Sheep. PLoS ONE. 6(5). e18943–e18943. 19 indexed citations
15.
Kadarmideen, Haja N., Nathan S. Watson‐Haigh, James Kijas, et al.. (2010). Genetics of Global Gene Expression Patterns and Gene Networks Affecting Muscling in Sheep. Research at the University of Copenhagen (University of Copenhagen). 1 indexed citations
16.
Meadows, Jennifer R. S., Stefan Hiendleder, & James Kijas. (2010). Haplogroup relationships between domestic and wild sheep resolved using a mitogenome panel. Heredity. 106(4). 700–706. 97 indexed citations
17.
Archibald, Alan, N. E. Cockett, Brian P. Dalrymple, et al.. (2010). The sheep genome reference sequence: a work in progress. Animal Genetics. 41(5). 449–453. 157 indexed citations
18.
Meadows, Jennifer R. S. & James Kijas. (2008). Re‐sequencing regions of the ovine Y chromosome in domestic and wild sheep reveals novel paternal haplotypes. Animal Genetics. 40(1). 119–123. 28 indexed citations
19.
Goldstein, Orly, Barbara Zangerl, Sue Pearce‐Kelling, et al.. (2006). Linkage disequilibrium mapping in domestic dog breeds narrows the progressive rod–cone degeneration interval and identifies ancestral disease-transmitting chromosome. Genomics. 88(5). 541–550. 57 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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