Brenda M. Murdoch

5.5k total citations
97 papers, 2.6k citations indexed

About

Brenda M. Murdoch is a scholar working on Genetics, Molecular Biology and Plant Science. According to data from OpenAlex, Brenda M. Murdoch has authored 97 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Genetics, 29 papers in Molecular Biology and 20 papers in Plant Science. Recurrent topics in Brenda M. Murdoch's work include Genetic and phenotypic traits in livestock (57 papers), Genetic Mapping and Diversity in Plants and Animals (39 papers) and Cancer-related molecular mechanisms research (17 papers). Brenda M. Murdoch is often cited by papers focused on Genetic and phenotypic traits in livestock (57 papers), Genetic Mapping and Diversity in Plants and Animals (39 papers) and Cancer-related molecular mechanisms research (17 papers). Brenda M. Murdoch collaborates with scholars based in United States, Canada and United Kingdom. Brenda M. Murdoch's co-authors include S. S. Moore, J. D. Nkrumah, J. A. Basarab, C. Hansen, B. Benkel, C. Li, Z. Wang, E. L. Sherman, Stephanie McKay and W. M. Snelling and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Brenda M. Murdoch

87 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brenda M. Murdoch United States 28 1.8k 506 481 473 397 97 2.6k
Ángela Cánovas Canada 30 1.5k 0.9× 639 1.3× 642 1.3× 627 1.3× 583 1.5× 139 2.5k
Stephanie McKay United States 25 1.7k 1.0× 584 1.2× 327 0.7× 430 0.9× 254 0.6× 55 2.4k
Dan Nonneman United States 27 952 0.5× 726 1.4× 164 0.3× 276 0.6× 364 0.9× 97 2.0k
Francisco Peñagaricano United States 27 1.9k 1.1× 714 1.4× 1.2k 2.6× 304 0.6× 611 1.5× 138 3.1k
Gonzalo Rincón United States 24 1.2k 0.7× 583 1.2× 558 1.2× 470 1.0× 279 0.7× 70 2.0k
Shujun Zhang China 26 509 0.3× 974 1.9× 215 0.4× 249 0.5× 264 0.7× 132 2.2k
Alma Islas‐Trejo United States 22 754 0.4× 565 1.1× 447 0.9× 393 0.8× 121 0.3× 45 1.5k
Johanna Vilkki Finland 36 2.5k 1.4× 1.1k 2.3× 944 2.0× 452 1.0× 471 1.2× 110 4.0k
Amanda J. Chamberlain Australia 28 3.2k 1.8× 498 1.0× 657 1.4× 651 1.4× 398 1.0× 74 3.6k
Humberto Tonhati Brazil 27 2.1k 1.2× 132 0.3× 1.0k 2.1× 222 0.5× 813 2.0× 202 2.5k

Countries citing papers authored by Brenda M. Murdoch

Since Specialization
Citations

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

Fields of papers citing papers by Brenda M. Murdoch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brenda M. Murdoch. 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 Brenda M. Murdoch. The network helps show where Brenda M. Murdoch may publish in the future.

Co-authorship network of co-authors of Brenda M. Murdoch

This figure shows the co-authorship network connecting the top 25 collaborators of Brenda M. Murdoch. A scholar is included among the top collaborators of Brenda M. Murdoch 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 Brenda M. Murdoch. Brenda M. Murdoch 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
3.
Rosen, Benjamin D., Holly L. Neibergs, Kimberly M Davenport, et al.. (2024). Telomere-to-telomere assemblies of cattle and sheep Y-chromosomes uncover divergent structure and gene content. Nature Communications. 15(1). 8277–8277. 13 indexed citations
4.
Burke, J.M., et al.. (2024). Genomic Diversity of U.S. Katahdin Hair Sheep. Journal of Animal Breeding and Genetics. 142(4). 408–418. 1 indexed citations
5.
Kiser, Jennifer N., et al.. (2024). Genomic regions associated with embryonic loss in primiparous Holstein cows. SHILAP Revista de lepidopterología. 5. 1 indexed citations
7.
Burke, J.M., Ronald M Lewis, D. R. Notter, et al.. (2024). Genetic diversity of United States Rambouillet, Katahdin and Dorper sheep. Genetics Selection Evolution. 56(1). 56–56. 5 indexed citations
8.
Murdoch, Brenda M., et al.. (2024). Myokines Produced by Cultured Bovine Satellite Cells Harvested from 3- and 11-Month-Old Angus Steers. Animals. 14(5). 709–709. 1 indexed citations
9.
Kiser, Jennifer N., et al.. (2024). Genomic Regions Associated with Spontaneous Abortion in Holstein Heifers. Genes. 15(12). 1498–1498. 1 indexed citations
10.
11.
Thornton, Kara J, et al.. (2024). Expression and secretion of SPARC, FGF-21 and DCN in bovine muscle cells: Effects of age and differentiation. PLoS ONE. 19(7). e0299975–e0299975.
12.
Bowdridge, Scott A, et al.. (2023). Genome-Wide Analysis of Sheep Artificially or Naturally Infected with Gastrointestinal Nematodes. Genes. 14(7). 1342–1342. 7 indexed citations
13.
Murdoch, Brenda M., Kimberly M Davenport, Shuang Xie, et al.. (2023). Advanced Skeletal Ossification Is Associated with Genetic Variants in Chronologically Young Beef Heifers. Genes. 14(8). 1629–1629. 1 indexed citations
14.
Burke, J.M., et al.. (2023). Pedigree diversity and implications for genetic selection of Katahdin sheep. Journal of Animal Breeding and Genetics. 141(3). 304–316. 6 indexed citations
15.
Tuggle, Christopher K., Nicole Scott, Jennifer Clarke, et al.. (2023). 175 Building the Tools to Solve the Genome to Phenome Puzzle in Agriculture. Journal of Animal Science. 101(Supplement_2). 25–26.
16.
Triant, Deborah A., Gabrielle A. Hartley, Noelle E. Cockett, et al.. (2023). AgAnimalGenomes: browsers for viewing and manually annotating farm animal genomes. Mammalian Genome. 34(3). 418–436. 3 indexed citations
17.
Davenport, Kimberly M, Stephanie McKay, Alan G. Fahey, C. A. Gill, & Brenda M. Murdoch. (2018). Meiotic Recombination Differences in Rams from Three Breeds of Sheep in the US. Cytogenetic and Genome Research. 156(2). 106–116. 3 indexed citations
18.
Nkrumah, J. D., Alex A. Fu, Brenda M. Murdoch, et al.. (2006). A genome-wide scan for quantitative trait loci affecting ultrasound and carcass backfat thickness in beef cattle.. Proceedings of the 8th World Congress on Genetics Applied to Livestock Production, Belo Horizonte, Minas Gerais, Brazil, 13-18 August, 2006. 3–53. 1 indexed citations
19.
Nkrumah, J. D., et al.. (2006). Polymorphisms in the leptin gene and their associations with performance, feed efficiency, and carcass merit of beef cattle.. 5 indexed citations
20.
McKay, Sheldon, Aparna Prasad, Elisa Marques, et al.. (2006). BAC contigs based radiation hybrid maps of bovine chromosomes 14 and 19.. Proceedings of the 8th World Congress on Genetics Applied to Livestock Production, Belo Horizonte, Minas Gerais, Brazil, 13-18 August, 2006. 20–21. 1 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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