Michael Vinsky

1.5k citations
36 papers · 1.1k indexed · h-index 17

Michael Vinsky

33 papers receiving 1.0k citations

Peers

Michael Vinsky
Comparison fields: 5 of 78
  • Animal Science and Zoology 369
  • Small Animals 246
  • Agronomy and Crop Science 251
  • Genetics 627
  • Cancer Research 168
Replace J. A. Downing with:
J. A. Downing Australia
Timothy J. Safranski United States
J. J. Reeves United States
W. H. E. J. van Wettere Australia
F. D. Brien Australia
M. L. Hebart Australia
Manuel Ramón Spain
O. Vangen Norway
V. Carcangiu Italy
María Consuelo Mura Italy
Michael Vinsky relative to J. A. Downing Australia J. A. Downing's profile →
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Citations per year

Countries citing papers authored by Michael Vinsky

Since Specialization
Citations

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

Fields of papers citing papers by Michael Vinsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Michael Vinsky, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael Vinsky Line = papers co-authored together Michael Vinsky links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20232
3 202043
4 202060
5 202015
6 201925
7
Improvement of cow feed efficiency using molecular breeding values for residual feed intake - The “Kinsella Breeding Project”
20180
8
Transcriptome analysis of liver tissues in Charolais steers with divergent marbling phenotypes
20181
9 201810
10 201848
11 201529
12 201424
13 20135
14 201321
15 201221
16 201158
17
Associations of a bovine SCD1 SNP with fatty acid composition in concentrate-finished yearling bulls of different muscular hypertrophy genotypes
20104
18 200931
19 200728
20 20074

About Michael Vinsky

Michael Vinsky is a scholar working on Animal Science and Zoology, Genetics, Agronomy and Crop Science, Small Animals and Cancer Research, having authored 36 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (23 papers), Genetic Mapping and Diversity in Plants and Animals (11 papers), Meat and Animal Product Quality (7 papers), Cancer-related molecular mechanisms research (6 papers), Ruminant Nutrition and Digestive Physiology (5 papers), Effects of Environmental Stressors on Livestock (4 papers), Adipose Tissue and Metabolism (3 papers) and Animal Behavior and Welfare Studies (3 papers). The work is most often cited by research in Animal Science and Zoology (369 citations), Small Animals (246 citations), Agronomy and Crop Science (251 citations), Genetics (627 citations) and Cancer Research (168 citations). Michael Vinsky has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Walter T. Dixon, Susan Novak, Charles T. Putman, Susanna Town, G. R. Foxcroft, L. Chen, Changxi Li, D. H. Crews, Chengdao Li and J. A. Basarab. Their work appears in journals such as Journal of Animal Science, Animal Genetics, Meat Science, Reproduction Fertility and Development and BMC Genomics.

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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