J. A. Sise

656 total citations
23 papers, 551 citations indexed

About

J. A. Sise is a scholar working on Genetics, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, J. A. Sise has authored 23 papers receiving a total of 551 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Genetics, 6 papers in Molecular Biology and 4 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in J. A. Sise's work include Genetic and phenotypic traits in livestock (10 papers), Genetic Mapping and Diversity in Plants and Animals (7 papers) and Growth Hormone and Insulin-like Growth Factors (4 papers). J. A. Sise is often cited by papers focused on Genetic and phenotypic traits in livestock (10 papers), Genetic Mapping and Diversity in Plants and Animals (7 papers) and Growth Hormone and Insulin-like Growth Factors (4 papers). J. A. Sise collaborates with scholars based in New Zealand and United States. J. A. Sise's co-authors include Grant W. Montgomery, K. G. Dodds, J. M. PENTY, Michael L. Tate, Diana F. Hill, Hannah Henry, E.A. Lord, A. M. Crawford, P. A. SWARBRICK and A J Ede and has published in prestigious journals such as Nature Genetics, Journal of Animal Science and Reproduction.

In The Last Decade

J. A. Sise

23 papers receiving 511 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. A. Sise New Zealand 8 378 158 101 78 43 23 551
J. M. PENTY New Zealand 11 351 0.9× 146 0.9× 82 0.8× 109 1.4× 30 0.7× 26 455
Jimmy L. Spearow United States 14 221 0.6× 229 1.4× 48 0.5× 149 1.9× 56 1.3× 24 759
D. A. Vaske United States 8 577 1.5× 234 1.5× 57 0.6× 48 0.6× 69 1.6× 14 784
K. Derecka United Kingdom 15 236 0.6× 241 1.5× 282 2.8× 111 1.4× 24 0.6× 29 765
Telhisa HASEGAWA Japan 13 342 0.9× 190 1.2× 52 0.5× 47 0.6× 12 0.3× 42 554
L A Messer United States 9 213 0.6× 83 0.5× 64 0.6× 66 0.8× 19 0.4× 12 364
Asja Wagener Germany 13 189 0.5× 173 1.1× 88 0.9× 133 1.7× 15 0.3× 21 568
Jennifer Schön Germany 16 168 0.4× 138 0.9× 89 0.9× 185 2.4× 26 0.6× 28 600
P. D. Burns United States 16 306 0.8× 119 0.8× 428 4.2× 119 1.5× 33 0.8× 44 770
Norio Kansaku Japan 18 423 1.1× 236 1.5× 50 0.5× 88 1.1× 34 0.8× 58 908

Countries citing papers authored by J. A. Sise

Since Specialization
Citations

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

Fields of papers citing papers by J. A. Sise

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. A. Sise. 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 J. A. Sise. The network helps show where J. A. Sise may publish in the future.

Co-authorship network of co-authors of J. A. Sise

This figure shows the co-authorship network connecting the top 25 collaborators of J. A. Sise. A scholar is included among the top collaborators of J. A. Sise 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 J. A. Sise. J. A. Sise 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.
Sise, J. A. & P.R. Amer. (2009). SNP predictors to accelerate the rate of genetic progress in sheep.. 220–223. 6 indexed citations
2.
Dodds, K. G., Michael L. Tate, & J. A. Sise. (2005). Genetic evaluation using parentage information from genetic markers1. Journal of Animal Science. 83(10). 2271–2279. 54 indexed citations
3.
Dodds, K. G., J. A. Sise, & Michael L. Tate. (2005). Practical aspects of a genetic evaluation system using parentage assigned from genetic markers. Australian Journal of Experimental Agriculture. 45(8). 935–935. 3 indexed citations
4.
Sise, J. A., et al.. (2001). Optimising DNA parentage testing in sheep.. 2 indexed citations
5.
Henry, Hannah, et al.. (2000). Follistatin (FST), growth hormone receptor (GHR) and prolactin receptor (PRLR) genes map to the same region of sheep chromosome 16. Animal Genetics. 31(4). 280–280. 4 indexed citations
6.
Montgomery, Grant W., J. M. PENTY, Hannah Henry, et al.. (1995). Sheep linkage mapping: RFLP markers for comparative mapping studies. Animal Genetics. 26(4). 249–259. 7 indexed citations
7.
Sise, J. A., et al.. (1994). Genetic linkage of proteolipid protein (PLP) and thyroxine-binding globulin (TBG) on the ovine X chromosome. Cytogenetic and Genome Research. 66(4). 250–252. 2 indexed citations
8.
Sise, J. A., J. M. PENTY, Grant W. Montgomery, & E. Gootwine. (1993). The duplicated gene copy of the ovine growth hormone gene contains a PvuII polymorphism in the second intron. Animal Genetics. 24(4). 319–321. 25 indexed citations
9.
Montgomery, Grant W., A. M. Crawford, J. M. PENTY, et al.. (1993). The ovine Booroola fecundity gene (FecB) is linked to markers from a region of human chromosome 4q. Nature Genetics. 4(4). 410–414. 157 indexed citations
10.
Montgomery, Grant W., et al.. (1992). Sheep linkage mapping: restriction fragment length polymorphism detection with heterologous cDNA probes. Animal Genetics. 23(5). 411–416. 15 indexed citations
11.
Montgomery, Grant W., et al.. (1992). Genes encoding the α and β chains of follicle-stimulating hormone are not sites for the Booroola (FecB) mutation in sheep. Reproduction. 95(3). 895–901. 6 indexed citations
12.
Sise, J. A., et al.. (1992). A Msp I polymorphism at the ovine proteolipid protein locus (PLP). Animal Genetics. 23(3). 292–292. 5 indexed citations
13.
Sise, J. A., et al.. (1992). A Msp I polymorphism at the ovine thyroxine binding globulin locus (TBG). Animal Genetics. 23(3). 293–293. 4 indexed citations
14.
Sise, J. A. & Grant W. Montgomery. (1992). A Pvu II polymorphism at the ovine corticotrophin releasing hormone (CRH) locus. Animal Genetics. 23(1). 86–86. 3 indexed citations
15.
Sise, J. A. & Grant W. Montgomery. (1992). A Pvu II polymorphism at the ovine corticotrophin releasing hormone (CRH) locus. Animal Genetics. 23(S1). 86–86. 8 indexed citations
16.
PENTY, J. M., J. A. Sise, & Grant W. Montgomery. (1991). Restriction fragment length polymorphisms at the ovine locus for the α‐subunit of pituitary glycoprotein hormones. Animal Genetics. 22(2). 198–198. 5 indexed citations
17.
Sise, J. A., et al.. (1991). A Taq 1 polymorphism at the ovine α‐Inhibin locus. Animal Genetics. 22(2). 195–195. 4 indexed citations
18.
Montgomery, Grant W. & J. A. Sise. (1990). Extraction of DNA from sheep white blood cells. New Zealand Journal of Agricultural Research. 33(3). 437–441. 193 indexed citations
19.
Montgomery, Grant W., Michael L. Tate, J. A. Sise, & Diana F. Hill. (1990). The Booroola F gene is excluded from close genetic linkage with either the haemoglobin β or follicle stimulating hormone β loci.. Proceedings of the New Zealand Society of Animal Production. 50. 411–415. 1 indexed citations
20.
Montgomery, Grant W., J. A. Sise, P. J. Greenwood, & Jean S. Fleming. (1990). The Booroola F gene mutation in sheep is not located close to the FSH-β gene. Journal of Molecular Endocrinology. 5(2). 167–173. 8 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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