J. A. Sise

656 citations
23 papers · 551 indexed · h-index 8
Topics
Genetic and phenotypic traits in livestock (10 papers)Genetic Mapping and Diversity in Plants and Animals (7 papers)Growth Hormone and Insulin-like Growth Factors (4 papers)
Partner nations
New ZealandUnited States

In The Last Decade

J. A. Sise

23 papers receiving 511 citations

Peers

J. A. Sise
Comparison fields: 5 of 70
  • Genetics 378
  • Molecular Biology 158
  • Agronomy and Crop Science 101
  • Public Health, Environmental and Occupational Health 78
  • Cancer Research 43
Replace J. M. PENTY with:
J. M. PENTY New Zealand
Jimmy L. Spearow United States
Jennifer Schön Germany
Grzegorz Panasiewicz Poland
Asja Wagener Germany
K. Derecka United Kingdom
G. A. Silver United States
Jean-Michel Elsen France
Norio Kansaku Japan
Guiqiong Liu China
J. A. Sise relative to J. M. PENTY New Zealand J. M. PENTY's profile →
Citations per field
00.5×
J. M. PENTY · 1×
Citations per year

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
#WorkIndexed citations
1
SNP predictors to accelerate the rate of genetic progress in sheep.
6
2 54
3 3
4
Optimising DNA parentage testing in sheep.
2
5 4
6 7
7 2
8 25
9 157
10 15
11 6
12 5
13 4
14 3
15 8
16 5
17 4
18 193
19
The Booroola F gene is excluded from close genetic linkage with either the haemoglobin β or follicle stimulating hormone β loci.
1
20 8

About J. A. Sise

J. A. Sise is a scholar working on Behavioral Neuroscience, Genetics and Endocrinology, Diabetes and Metabolism, having authored 23 papers that have together received 551 indexed citations. Recurring topics across this 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). The work is most often cited by research in Genetics (378 citations), Agronomy and Crop Science (101 citations) and Endocrine and Autonomic Systems (20 citations). J. A. Sise has collaborated with scholars based in New Zealand and United States. Frequent 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. Their work appears in journals such as Nature Genetics, Journal of Animal Science and Reproduction.

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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