W Barris

1.5k total citations
10 papers, 750 citations indexed

About

W Barris is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, W Barris has authored 10 papers receiving a total of 750 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Genetics and 3 papers in Cancer Research. Recurrent topics in W Barris's work include Genomics and Phylogenetic Studies (5 papers), Genetic and phenotypic traits in livestock (4 papers) and Genetic Mapping and Diversity in Plants and Animals (4 papers). W Barris is often cited by papers focused on Genomics and Phylogenetic Studies (5 papers), Genetic and phenotypic traits in livestock (4 papers) and Genetic Mapping and Diversity in Plants and Animals (4 papers). W Barris collaborates with scholars based in Australia, United Kingdom and New Zealand. W Barris's co-authors include Brian P. Dalrymple, Evgeny A. Glazov, Robert J. Moore, Pauline Cottee, Mark Tizard, Antônio Reverter, Matthew B. Thomas, W. Barendse, Rowan J. Bunch and B. E. Harrison and has published in prestigious journals such as Genetics, Genome Research and Genome biology.

In The Last Decade

W Barris

10 papers receiving 729 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
W Barris Australia 7 341 340 304 115 89 10 750
Binyun Cao China 19 393 1.2× 414 1.2× 277 0.9× 48 0.4× 169 1.9× 58 871
Jung-Woo Choi South Korea 13 242 0.7× 563 1.7× 167 0.5× 186 1.6× 57 0.6× 45 766
Marco Milanesi Italy 17 152 0.4× 438 1.3× 155 0.5× 60 0.5× 121 1.4× 37 644
Pâmela A. Alexandre Australia 16 263 0.8× 482 1.4× 187 0.6× 88 0.8× 152 1.7× 61 785
Katayoun Moazami‐Goudarzi France 16 370 1.1× 750 2.2× 114 0.4× 115 1.0× 161 1.8× 37 1.1k
Hojjat Asadollahpour Nanaei Iran 14 161 0.5× 362 1.1× 132 0.4× 83 0.7× 84 0.9× 35 540
Aroa Suárez‐Vega Spain 17 159 0.5× 607 1.8× 273 0.9× 50 0.4× 231 2.6× 57 812
Fang‐Xi Yang China 12 204 0.6× 268 0.8× 79 0.3× 118 1.0× 49 0.6× 25 588
Zhenshuang Tang China 8 214 0.6× 556 1.6× 141 0.5× 377 3.3× 82 0.9× 13 900

Countries citing papers authored by W Barris

Since Specialization
Citations

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

Fields of papers citing papers by W Barris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of W Barris

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

All Works

10 of 10 papers shown
1.
Fortes, Marina R. S., Antônio Reverter, Shivashankar H. Nagaraj, et al.. (2011). A single nucleotide polymorphism-derived regulatory gene network underlying puberty in 2 tropical breeds of beef cattle1. Journal of Animal Science. 89(6). 1669–1683. 93 indexed citations
2.
Fortes, Marina R. S., Antônio Reverter, Yuandan Zhang, et al.. (2010). A New Method for Exploring Genome-wide Associations Applied to Cattle Puberty. RUNE (Research UNE). 185. 2 indexed citations
3.
Ratnakumar, Abhirami, Sean McWilliam, W Barris, & Brian P. Dalrymple. (2010). Using paired-end sequences to optimise parameters for alignment of sequence reads against related genomes. BMC Genomics. 11(1). 458–458. 6 indexed citations
4.
Lemay, Danielle G., David J. Lynn, William Martin, et al.. (2009). The bovine lactation genome: insights into the evolution of mammalian milk. Genome biology. 10(4). R43–R43. 148 indexed citations
5.
Tang, Dave, Evgeny A. Glazov, Sean McWilliam, W Barris, & Brian P. Dalrymple. (2009). Analysis of the complement and molecular evolution of tRNA genes in cow. BMC Genomics. 10(1). 188–188. 15 indexed citations
6.
Ratnakumar, Abhirami, W Barris, Sean McWilliam, et al.. (2009). A multiway analysis for identifying high integrity bovine BACs. BMC Genomics. 10(1). 46–46. 4 indexed citations
7.
Glazov, Evgeny A., Pauline Cottee, W Barris, et al.. (2008). A microRNA catalog of the developing chicken embryo identified by a deep sequencing approach. Genome Research. 18(6). 957–964. 274 indexed citations
8.
Zenger, Kyall R., Mehar S. Khatkar, Bruce Tier, et al.. (2007). QC analyses of SNP array data: experiences from a large population of dairy sires with 23.8 million data points.. RUNE (Research UNE). 123–126. 5 indexed citations
9.
Barendse, W., Antônio Reverter, Rowan J. Bunch, et al.. (2007). A Validated Whole-Genome Association Study of Efficient Food Conversion in Cattle. Genetics. 176(3). 1893–1905. 150 indexed citations
10.
Hawken, Rachel, W Barris, Sean McWilliam, & Brian P. Dalrymple. (2004). An interactive bovine in silico SNP database (IBISS). Mammalian Genome. 15(10). 819–827. 53 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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