Vicki Whan

2.5k total citations · 1 hit paper
21 papers, 1.8k citations indexed

About

Vicki Whan is a scholar working on Genetics, Plant Science and Molecular Biology. According to data from OpenAlex, Vicki Whan has authored 21 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Genetics, 6 papers in Plant Science and 4 papers in Molecular Biology. Recurrent topics in Vicki Whan's work include Genetic Mapping and Diversity in Plants and Animals (7 papers), Genetic diversity and population structure (5 papers) and Genetic and phenotypic traits in livestock (4 papers). Vicki Whan is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (7 papers), Genetic diversity and population structure (5 papers) and Genetic and phenotypic traits in livestock (4 papers). Vicki Whan collaborates with scholars based in Australia, Thailand and United States. Vicki Whan's co-authors include Belinda J. Norris, James Kijas, S. S. Moore, W. Barendse, Russell McCulloch, Keren Byrne, Herman W. Raadsma, Johannes A. Lenstra, Brian P. Dalrymple and Laércio R. Porto-Neto and has published in prestigious journals such as PLoS ONE, Genome Research and PLoS Biology.

In The Last Decade

Vicki Whan

21 papers receiving 1.7k 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
Vicki Whan Australia 16 1.2k 387 257 223 209 21 1.8k
Magali SanCristobal France 21 1.3k 1.1× 594 1.5× 275 1.1× 170 0.8× 103 0.5× 33 2.0k
Sean McWilliam Australia 30 1.2k 1.0× 808 2.1× 241 0.9× 343 1.5× 173 0.8× 66 2.4k
Jennifer R. S. Meadows Sweden 19 1.5k 1.2× 627 1.6× 237 0.9× 176 0.8× 116 0.6× 44 2.1k
Cédric Cabau France 19 952 0.8× 789 2.0× 194 0.8× 99 0.4× 158 0.8× 35 1.8k
Richard Powell Ireland 19 916 0.8× 699 1.8× 171 0.7× 86 0.4× 143 0.7× 34 1.8k
Andre A. Eggen France 20 1.7k 1.4× 771 2.0× 586 2.3× 278 1.2× 52 0.2× 36 2.3k
Chris Moran Australia 24 881 0.7× 615 1.6× 220 0.9× 76 0.3× 38 0.2× 70 1.8k
Jens Tetens Germany 25 1.8k 1.5× 377 1.0× 479 1.9× 343 1.5× 231 1.1× 141 2.7k
Jesús Fernández Spain 33 2.2k 1.9× 260 0.7× 395 1.5× 80 0.4× 305 1.5× 122 2.7k
Mehar S. Khatkar Australia 25 1.7k 1.4× 328 0.8× 528 2.1× 241 1.1× 266 1.3× 88 2.3k

Countries citing papers authored by Vicki Whan

Since Specialization
Citations

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

Fields of papers citing papers by Vicki Whan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vicki Whan

This figure shows the co-authorship network connecting the top 25 collaborators of Vicki Whan. A scholar is included among the top collaborators of Vicki Whan 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 Vicki Whan. Vicki Whan 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.
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 →
2.
Fortes, Marina R. S., Sigrid A. Lehnert, Sunduimijid Bolormaa, et al.. (2012). Finding genes for economically important traits: Brahman cattle puberty. Animal Production Science. 52(3). 143–150. 90 indexed citations
3.
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
4.
García‐Gámez, E., Antônio Reverter, Vicki Whan, et al.. (2011). Using Regulatory and Epistatic Networks to Extend the Findings of a Genome Scan: Identifying the Gene Drivers of Pigmentation in Merino Sheep. PLoS ONE. 6(6). e21158–e21158. 33 indexed citations
5.
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
6.
Henshall, John, Vicki Whan, & Belinda J. Norris. (2010). Reconstructing CNV genotypes using segregation analysis: combining pedigree information with CNV assay. Genetics Selection Evolution. 42(1). 34–34. 4 indexed citations
7.
Norris, Belinda J. & Vicki Whan. (2008). A gene duplication affecting expression of the ovine ASIP gene is responsible for white and black sheep. Genome Research. 18(8). 1282–1293. 224 indexed citations
8.
McIntyre, C. Lynne, Rosanne E. Casu, Janneke Drenth, et al.. (2005). Resistance gene analogues in sugarcane and sorghum and their association with quantitative trait loci for rust resistance. Genome. 48(3). 391–400. 42 indexed citations
9.
Meadows, Jennifer R. S., Juha Kantanen, Miika Tapio, et al.. (2005). Mitochondrial Sequence Reveals High Levels of Gene Flow Between Breeds of Domestic Sheep from Asia and Europe. Journal of Heredity. 96(5). 494–501. 95 indexed citations
11.
Li, Yutao, Keren Byrne, Vicki Whan, et al.. (2003). Genetic mapping of the kuruma prawn Penaeus japonicus using AFLP markers. Aquaculture. 219(1-4). 143–156. 102 indexed citations
12.
Wilson, Kate J., Yutao Li, Vicki Whan, et al.. (2002). Genetic mapping of the black tiger shrimp Penaeus monodon with amplified fragment length polymorphism. Aquaculture. 204(3-4). 297–309. 178 indexed citations
13.
McIntyre, C. Lynne, Karen S. Aitken, N. Berding, et al.. (2001). Identification of DNA markers linked to agronomic traits in sugarcane in Australia.. 560–562. 7 indexed citations
14.
Casu, Rosanne E., Christine M. Dimmock, Neil I. Bower, et al.. (2001). Genetic and expression profiling in sugarcane. Queensland's institutional digital repository (The University of Queensland). 542–546. 19 indexed citations
15.
Pongsomboon, Siriporn, et al.. (2000). . ScienceAsia. 26(1). 1–1. 15 indexed citations
16.
Whan, Vicki, Kate J. Wilson, & S. S. Moore. (2000). Two polymorphic microsatellite markers from novel Penaeus monodon ESTs.. PubMed. 31(2). 143–4. 9 indexed citations
17.
Moore, S. S., et al.. (1999). The development and application of genetic markers for the Kuruma prawn Penaeus japonicus. Aquaculture. 173(1-4). 19–32. 114 indexed citations
18.
Elvin, Christopher M., Vicki Whan, & Peter W. Riddles. (1993). A family of serine protease genes expressed in adult buffalo fly (Haematobia irritans exigua). Molecular and General Genetics MGG. 240(1). 132–139. 32 indexed citations
19.
Riddles, Peter W., Vicki Whan, Robert L. Blakeley, & Burt Zerner. (1992). Cloning and sequencing of a jack bean urease-encoding cDNA. Gene. 121(2). 399–400. 28 indexed citations
20.
Riddles, Peter W., Vicki Whan, Robert L. Blakeley, & Burt Zerner. (1991). Cloning and sequencing of a jack bean urease-encoding cDNA. Gene. 108(2). 265–267. 32 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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