Tracey C. van Stijn

1.2k total citations
27 papers, 442 citations indexed

About

Tracey C. van Stijn is a scholar working on Genetics, Molecular Biology and Ecology. According to data from OpenAlex, Tracey C. van Stijn has authored 27 papers receiving a total of 442 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Genetics, 14 papers in Molecular Biology and 6 papers in Ecology. Recurrent topics in Tracey C. van Stijn's work include Genetic and phenotypic traits in livestock (10 papers), Genetic Mapping and Diversity in Plants and Animals (9 papers) and Genetic diversity and population structure (9 papers). Tracey C. van Stijn is often cited by papers focused on Genetic and phenotypic traits in livestock (10 papers), Genetic Mapping and Diversity in Plants and Animals (9 papers) and Genetic diversity and population structure (9 papers). Tracey C. van Stijn collaborates with scholars based in New Zealand, United States and Tunisia. Tracey C. van Stijn's co-authors include John C. McEwan, K. G. Dodds, Rüdiger Bräuning, R. M. Anderson, Shannon Clarke, Susan Galloway, Neil J. McLean, Suzanne J. Rowe, G. J. Greer and W. E. Bain and has published in prestigious journals such as PLoS ONE, Genetics and Molecular Ecology.

In The Last Decade

Tracey C. van Stijn

26 papers receiving 436 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tracey C. van Stijn New Zealand 10 292 148 109 80 37 27 442
R. M. Anderson New Zealand 7 245 0.8× 78 0.5× 63 0.6× 51 0.6× 30 0.8× 18 325
I.A. Boman Norway 10 329 1.1× 270 1.8× 42 0.4× 30 0.4× 21 0.6× 11 596
Jiaojiao Yu China 13 87 0.3× 144 1.0× 111 1.0× 23 0.3× 20 0.5× 30 378
Martin Knytl Czechia 13 243 0.8× 127 0.9× 197 1.8× 43 0.5× 33 0.9× 25 406
Serap Gonen United Kingdom 10 335 1.1× 117 0.8× 203 1.9× 45 0.6× 9 0.2× 15 451
Ming Fang China 12 301 1.0× 65 0.4× 56 0.5× 36 0.5× 13 0.4× 35 426
A. Hidas Hungary 11 262 0.9× 64 0.4× 92 0.8× 75 0.9× 8 0.2× 23 419
D. Nonneman United States 11 305 1.0× 176 1.2× 56 0.5× 22 0.3× 8 0.2× 24 489
Daniel E. Goszczynski Argentina 12 284 1.0× 137 0.9× 38 0.3× 28 0.3× 14 0.4× 26 414
Kor Oldenbroek Netherlands 9 247 0.8× 49 0.3× 39 0.4× 42 0.5× 31 0.8× 13 330

Countries citing papers authored by Tracey C. van Stijn

Since Specialization
Citations

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

Fields of papers citing papers by Tracey C. van Stijn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tracey C. van Stijn. 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 Tracey C. van Stijn. The network helps show where Tracey C. van Stijn may publish in the future.

Co-authorship network of co-authors of Tracey C. van Stijn

This figure shows the co-authorship network connecting the top 25 collaborators of Tracey C. van Stijn. A scholar is included among the top collaborators of Tracey C. van Stijn 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 Tracey C. van Stijn. Tracey C. van Stijn 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.
Veale, Andrew J., John C. McEwan, Rüdiger Bräuning, Tracey C. van Stijn, & A. David M. Latham. (2024). Genomics detects cryptic wallaby invasion. Biological Invasions. 26(12). 3997–4003. 1 indexed citations
2.
Robertson, Christopher J.R., et al.. (2021). Genetic connectivity in allopatric seabirds: lack of inferred gene flow between Northern and Southern Buller’s albatross populations (Thalassarche bulleri ssp.). Emu - Austral Ornithology. 121(1-2). 113–123. 8 indexed citations
3.
Harrop, Thomas W.R., Marissa F. Le Lec, Ruy Jáuregui, et al.. (2020). Genetic Diversity in Invasive Populations of Argentine Stem Weevil Associated with Adaptation to Biocontrol. Insects. 11(7). 441–441. 10 indexed citations
4.
Rowe, Suzanne J., Tracey C. van Stijn, Hannah Henry, et al.. (2020). A restriction enzyme reduced representation sequencing approach for low-cost, high-throughput metagenome profiling. PLoS ONE. 15(4). e0219882–e0219882. 20 indexed citations
5.
Rexer‐Huber, Kalinka, Andrew J. Veale, Paulo Catry, et al.. (2019). Genomics detects population structure within and between ocean basins in a circumpolar seabird: The white‐chinned petrel. Molecular Ecology. 28(20). 4552–4572. 19 indexed citations
6.
7.
Dodds, K. G., John C. McEwan, Rüdiger Bräuning, et al.. (2018). Using GBLUP to selection for increased Piscirickettsia salmonis (SRS) resistance in Atlantic salmon (Salmo salar). Proceedings of the World Congress on Genetics Applied to Livestock Production. 923. 1 indexed citations
8.
Bilton, Timothy P., John C. McEwan, Shannon Clarke, et al.. (2018). Linkage Disequilibrium Estimation in Low Coverage High-Throughput Sequencing Data. Genetics. 209(2). 389–400. 23 indexed citations
9.
Veale, Andrew J., Tracey C. van Stijn, Rüdiger Bräuning, et al.. (2018). Population Connectivity and Traces of Mitochondrial Introgression in New Zealand Black-Billed Gulls (Larus bulleri). Genes. 9(11). 544–544. 4 indexed citations
10.
Rowe, Suzanne J., Tracey C. van Stijn, Rüdiger Bräuning, et al.. (2018). High-throughput rumen microbial profiling using genotyping-by-sequencing. Proceedings of the World Congress on Genetics Applied to Livestock Production. 331. 2 indexed citations
11.
Chagné, David, Julie Ryan, Munazza Saeed, et al.. (2018). A high density linkage map and quantitative trait loci for tree growth for New Zealand mānuka ( Leptospermum scoparium ). New Zealand Journal of Crop and Horticultural Science. 47(4). 261–272. 5 indexed citations
12.
Anderson, Craig B., et al.. (2018). Protocol: a versatile, inexpensive, high-throughput plant genomic DNA extraction method suitable for genotyping-by-sequencing. Plant Methods. 14(1). 75–75. 35 indexed citations
13.
Dodds, K. G., John C. McEwan, Rüdiger Bräuning, et al.. (2015). Construction of relatedness matrices using genotyping-by-sequencing data. BMC Genomics. 16(1). 1047–1047. 110 indexed citations
14.
Johnson, Patricia L., K. G. Dodds, W. E. Bain, et al.. (2009). Investigations into the GDF8 g+6723G-A polymorphism in New Zealand Texel sheep1. Journal of Animal Science. 87(6). 1856–1864. 58 indexed citations
15.
Bain, W. E., G. J. Greer, K. G. Dodds, et al.. (2008). BRIEF COMMUNICATION: Effect of MyoMAX® on carcass lean and fat. 2 indexed citations
16.
Stijn, Tracey C. van, Michelle C. French, K. G. Dodds, et al.. (2007). Comparative mapping of sheep chromosome 2q. Cytogenetic and Genome Research. 116(1-2). 85–92.
17.
Longley, Mary A., S. H. Phua, Tracey C. van Stijn, & A. M. Crawford. (1999). Isolation and mapping of the first ruminant multidrug resistance genes. Animal Genetics. 30(3). 207–210. 9 indexed citations
18.
Lumsden, Joanne M., E.A. Lord, Sheree Cato, et al.. (1999). The application of AFLP fingerprinting to construct a YAC contig containing ADH2 and MTP on sheep chromosome 6. Cytogenetic and Genome Research. 84(3-4). 225–229. 6 indexed citations
19.
Hawken, Rachel, Murray F. Broom, Tracey C. van Stijn, et al.. (1996). Mapping the ovine genes encoding IL3, IIA, IL5, and CSF2 to sheep Chromosome 5ql3-ql5 by FISH. Mammalian Genome. 7(11). 858–859. 3 indexed citations
20.
Stijn, Tracey C. van & Susan Galloway. (1995). A BamHI polymorphism at the ovine inactive X‐specific transcript locus (XIST). Animal Genetics. 26(4). 279–280. 2 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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