Sean McWilliam

9.7k total citations
66 papers, 2.4k citations indexed

About

Sean McWilliam is a scholar working on Genetics, Molecular Biology and Plant Science. According to data from OpenAlex, Sean McWilliam has authored 66 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Genetics, 26 papers in Molecular Biology and 11 papers in Plant Science. Recurrent topics in Sean McWilliam's work include Genetic and phenotypic traits in livestock (29 papers), Genetic Mapping and Diversity in Plants and Animals (18 papers) and Genomics and Phylogenetic Studies (10 papers). Sean McWilliam is often cited by papers focused on Genetic and phenotypic traits in livestock (29 papers), Genetic Mapping and Diversity in Plants and Animals (18 papers) and Genomics and Phylogenetic Studies (10 papers). Sean McWilliam collaborates with scholars based in Australia, United States and New Zealand. Sean McWilliam's co-authors include Antônio Reverter, Brian P. Dalrymple, Keren Byrne, Sigrid A. Lehnert, Wes Barris, James Kijas, Peter J. Walker, Jeff A. Cowley, Evgeny A. Glazov and Noelle Cockett and has published in prestigious journals such as Bioinformatics, PLoS ONE and Journal of Agricultural and Food Chemistry.

In The Last Decade

Sean McWilliam

65 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sean McWilliam Australia 30 1.2k 808 343 319 278 66 2.4k
Keren Byrne Australia 37 1.6k 1.3× 1.1k 1.3× 212 0.6× 338 1.1× 394 1.4× 82 3.5k
Elisabetta Giuffra Italy 27 1.5k 1.3× 928 1.1× 314 0.9× 507 1.6× 196 0.7× 58 2.7k
Stephen J. Kemp United Kingdom 36 1.7k 1.5× 618 0.8× 194 0.6× 272 0.9× 328 1.2× 160 3.8k
Douglas N. Foster United States 30 739 0.6× 1.4k 1.7× 169 0.5× 298 0.9× 333 1.2× 99 3.3k
Hugo Naya Uruguay 26 1.0k 0.9× 1.3k 1.6× 378 1.1× 133 0.4× 106 0.4× 98 2.8k
Herman W. Raadsma Australia 37 2.9k 2.5× 633 0.8× 533 1.6× 586 1.8× 689 2.5× 117 4.5k
Naotaka Ishiguro Japan 31 1.1k 0.9× 2.0k 2.5× 151 0.4× 287 0.9× 169 0.6× 188 3.4k
R. T. Stone United States 34 2.9k 2.5× 1.1k 1.3× 418 1.2× 600 1.9× 374 1.3× 79 4.1k
Andy Law United Kingdom 27 1.2k 1.0× 658 0.8× 90 0.3× 498 1.6× 201 0.7× 66 2.2k
Peter Dovč Slovenia 27 1.2k 1.0× 1.0k 1.2× 456 1.3× 208 0.7× 326 1.2× 141 2.6k

Countries citing papers authored by Sean McWilliam

Since Specialization
Citations

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

Fields of papers citing papers by Sean McWilliam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sean McWilliam

This figure shows the co-authorship network connecting the top 25 collaborators of Sean McWilliam. A scholar is included among the top collaborators of Sean McWilliam 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 Sean McWilliam. Sean McWilliam 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.
Bose, Utpal, Sally Buck, Xavier Sirault, et al.. (2024). Chickpea Proteome Analysis Reveals Genotype-Dependent Variations Associated with Seed Traits. Journal of Agricultural and Food Chemistry. 72(48). 27030–27042. 3 indexed citations
2.
Porto-Neto, Laércio R., Pâmela A. Alexandre, Nicholas J. Hudson, et al.. (2023). Multi-breed genomic predictions and functional variants for fertility of tropical bulls. PLoS ONE. 18(1). e0279398–e0279398. 7 indexed citations
3.
Naval-Sánchez, Marina, Sean McWilliam, Bradley S. Evans, et al.. (2020). Changed Patterns of Genomic Variation Following Recent Domestication: Selection Sweeps in Farmed Atlantic Salmon. Frontiers in Genetics. 11. 264–264. 19 indexed citations
4.
Botwright, Natasha A., Min Zhao, Tianfang Wang, et al.. (2019). Greenlip Abalone (Haliotis laevigata) Genome and Protein Analysis Provides Insights into Maturation and Spawning. G3 Genes Genomes Genetics. 9(10). 3067–3078. 16 indexed citations
5.
Huerlimann, Roger, Nicholas M. Wade, Lavinia Gordon, et al.. (2018). De novo assembly, characterization, functional annotation and expression patterns of the black tiger shrimp (Penaeus monodon) transcriptome. Scientific Reports. 8(1). 13553–13553. 49 indexed citations
6.
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
7.
Camargo, Gregório Miguel Ferreira de, Laércio R. Porto-Neto, Matt Kelly, et al.. (2015). Non-synonymous mutations mapped to chromosome X associated with andrological and growth traits in beef cattle. BMC Genomics. 16(1). 384–384. 33 indexed citations
8.
9.
Hudson, Nicholas J., Laércio R. Porto-Neto, James Kijas, et al.. (2014). Information compression exploits patterns of genome composition to discriminate populations and highlight regions of evolutionary interest. BMC Bioinformatics. 15(1). 66–66. 12 indexed citations
10.
Kijas, James, W. Barendse, Wes Barris, et al.. (2011). Analysis of copy number variants in the cattle genome. Gene. 482(1-2). 73–77. 35 indexed citations
11.
Smith, Wendy, Yutao Li, Aaron Ingham, et al.. (2010). A genomics-informed, SNP association study reveals FBLN1 and FABP4 as contributing to resistance to fleece rot in Australian Merino sheep. BMC Veterinary Research. 6(1). 27–27. 28 indexed citations
12.
Whan, Vicki, Matthew Hobbs, Sean McWilliam, et al.. (2010). Bovine proteins containing poly-glutamine repeats are often polymorphic and enriched for components of transcriptional regulatory complexes. BMC Genomics. 11(1). 654–654. 15 indexed citations
13.
Glazov, Evgeny A., Sean McWilliam, Wes Barris, & Brian P. Dalrymple. (2008). Origin, Evolution, and Biological Role of miRNA Cluster in DLK-DIO3 Genomic Region in Placental Mammals. Molecular Biology and Evolution. 25(5). 939–948. 115 indexed citations
14.
Bower, Neil I., Antônio Reverter, Nadia de Jager, et al.. (2008). Gene expression patterns during intramuscular fat development in cattle1. Journal of Animal Science. 87(1). 119–130. 166 indexed citations
15.
Wu, Chunhua, Kenta Nomura, Tom Goldammer, et al.. (2008). A high‐resolution comparative radiation hybrid map of ovine chromosomal regions that are homologous to human chromosome 6 (HSA6). Animal Genetics. 39(5). 459–467. 9 indexed citations
16.
Dalrymple, Brian P., Ewen F. Kirkness, Mikhail Nefedov, et al.. (2007). Using comparative genomics to reorder the human genome sequence into a virtual sheep genome. Genome biology. 8(7). R152–R152. 69 indexed citations
17.
Reverter, Antônio, et al.. (2006). Gene expression profiling of bovine in vitro adipogenesis using a cDNA microarray. Functional & Integrative Genomics. 6(3). 235–249. 50 indexed citations
18.
Wang, Yonghong, Keren Byrne, Antônio Reverter, et al.. (2005). Transcriptional profiling of skeletal muscle tissue from two breeds of cattle. Mammalian Genome. 16(3). 201–210. 124 indexed citations
19.
Wang, Yaping, Sean McWilliam, W. Barendse, et al.. (2001). Mapping of 12 bovine ribosomal protein genes using a bovine radiation hybrid panel. Animal Genetics. 32(5). 269–273. 15 indexed citations
20.
Blok, J., et al.. (1991). NS 1 gene sequences from eight dengue-2 viruses and their evolutionary relationships with other dengue-2 viruses. Archives of Virology. 118(3-4). 209–223. 44 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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