Brian Karisa

427 total citations
10 papers, 250 citations indexed

About

Brian Karisa is a scholar working on Genetics, Animal Science and Zoology and Agronomy and Crop Science. According to data from OpenAlex, Brian Karisa has authored 10 papers receiving a total of 250 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Genetics, 4 papers in Animal Science and Zoology and 2 papers in Agronomy and Crop Science. Recurrent topics in Brian Karisa's work include Genetic and phenotypic traits in livestock (10 papers), Genetic Mapping and Diversity in Plants and Animals (7 papers) and Meat and Animal Product Quality (2 papers). Brian Karisa is often cited by papers focused on Genetic and phenotypic traits in livestock (10 papers), Genetic Mapping and Diversity in Plants and Animals (7 papers) and Meat and Animal Product Quality (2 papers). Brian Karisa collaborates with scholars based in Canada, Australia and United States. Brian Karisa's co-authors include Graham Plastow, S. S. Moore, Jennifer M. Thomson, Paul Stothard, Y.R. Montanholi, Stephen P. Miller, Z. Wang, Mohammed Abo-Ismail, E. C. Akanno and Edward W. Bork and has published in prestigious journals such as Scientific Reports, Journal of Animal Science and Frontiers in Genetics.

In The Last Decade

Brian Karisa

10 papers receiving 243 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Brian Karisa Canada	7	188	89	84	65	43	10	250
A. N. Rosa Brazil	7	174 0.9×	61 0.7×	78 0.9×	36 0.6×	45 1.0×	10	203
Camila Urbano Braz United States	12	215 1.1×	63 0.7×	87 1.0×	81 1.2×	61 1.4×	37	349
E. L. Villarreal Argentina	12	184 1.0×	59 0.7×	201 2.4×	49 0.8×	36 0.8×	22	312
K. L. DeAtley United States	8	238 1.3×	163 1.8×	36 0.4×	42 0.6×	62 1.4×	15	319
L. M. Melucci Argentina	12	277 1.5×	83 0.9×	216 2.6×	66 1.0×	45 1.0×	29	423
Qizhi Song China	11	132 0.7×	44 0.5×	106 1.3×	95 1.5×	55 1.3×	22	283
Jiangbo Cheng China	10	147 0.8×	73 0.8×	65 0.8×	107 1.6×	66 1.5×	41	275
Diogo Anastácio Garcia Brazil	11	252 1.3×	81 0.9×	117 1.4×	32 0.5×	52 1.2×	25	320
Farhad Bordbar China	8	194 1.0×	41 0.5×	82 1.0×	126 1.9×	80 1.9×	15	323
Richard G. Sherlock New Zealand	7	218 1.2×	83 0.9×	89 1.1×	51 0.8×	61 1.4×	8	287

Countries citing papers authored by Brian Karisa

Since Specialization

Citations

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

Fields of papers citing papers by Brian Karisa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian Karisa

This figure shows the co-authorship network connecting the top 25 collaborators of Brian Karisa. A scholar is included among the top collaborators of Brian Karisa 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 Brian Karisa. Brian Karisa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

Li, Jiyuan, Yining Wang, Robert Mukiibi, et al.. (2022). Integrative analyses of genomic and metabolomic data reveal genetic mechanisms associated with carcass merit traits in beef cattle. Scientific Reports. 12(1). 3389–3389. 15 indexed citations

Li, Jiyuan, E. C. Akanno, Mohammed Abo-Ismail, et al.. (2020). Genomic Heritability and Genome-Wide Association Studies of Plasma Metabolites in Crossbred Beef Cattle. Frontiers in Genetics. 11. 538600–538600. 13 indexed citations

Abo-Ismail, Mohammed, E. C. Akanno, Brian Karisa, et al.. (2018). Development and validation of a small SNP panel for feed efficiency in beef cattle1. Journal of Animal Science. 96(2). 375–397. 45 indexed citations

Abo-Ismail, Mohammed, E. C. Akanno, John Crowley, et al.. (2016). 0310 Assessing genetic diversity in Canadian beef cattle populations using Illumina BovineSNP50 chip. Journal of Animal Science. 94(suppl_5). 148–149. 4 indexed citations

Karisa, Brian, Jennifer M. Thomson, Y.R. Montanholi, et al.. (2014). Plasma metabolites associated with residual feed intake and other productivity performance traits in beef cattle. Livestock Science. 165. 200–211. 65 indexed citations

Karisa, Brian, S. S. Moore, & Graham Plastow. (2013). Complicated Relationships: A Review of Biological Interaction Networks and Pathways in Animal Science. 1(1-2). 73–83. 2 indexed citations

Karisa, Brian, et al.. (2013). Candidate genes and biological pathways associated with carcass quality traits in beef cattle. Canadian Journal of Animal Science. 93(3). 295–306. 16 indexed citations

Karisa, Brian. (2013). CANDIDATE GENES, METABOLITES AND BIOLOGICAL PATHWAYS ASSOCIATED WITH RESIDUAL FEED INTAKE AND CARCASS QUALITY IN BEEF CATTLE. University of Alberta Library. 1 indexed citations

Karisa, Brian, S. S. Moore, & Graham Plastow. (2013). Analysis of biological networks and biological pathways associated with residual feed intake in beef cattle. Animal Science Journal. 85(4). 374–387. 46 indexed citations

10.

Karisa, Brian, Jennifer M. Thomson, Z. Wang, et al.. (2013). Candidate genes and single nucleotide polymorphisms associated with variation in residual feed intake in beef cattle1. Journal of Animal Science. 91(8). 3502–3513. 43 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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