Brian Karisa

427 citations
10 papers · 250 · h-index 7

Impact in

Papers in

    • Genetic and phenotypic traits in livestock 10
    • Genetic Mapping and Diversity in Plants and Animals 7
    • Animal Nutrition and Physiology 2
    • Meat and Animal Product Quality 2
    • Rabbits: Nutrition, Reproduction, Health 1

Brian Karisa

10 papers receiving 243 citations

Peers

Brian Karisa
Comparison fields: 5 of 42
  • Agronomy and Crop Science 89
  • Animal Science and Zoology 84
  • Genetics 188
  • Cancer Research 43
  • Aquatic Science 9
Replace Camila Urbano Braz with:
Camila Urbano Braz United States
A. N. Rosa Brazil
Diogo Anastácio Garcia Brazil
L. M. Melucci Argentina
Elisa Marques Canada
E. L. Villarreal Argentina
Gordon Vander Voort Canada
Chad Harland New Zealand
K. L. DeAtley United States
Farhad Bordbar China
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Citations per field
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Citations per year

Countries citing papers authored by Brian Karisa

Since Specialization
Citations

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

Fields of papers citing papers by Brian Karisa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Brian Karisa, 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 Brian Karisa Line = papers co-authored together Brian Karisa links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 201465
2 201346
3 201845
4 201343
5 201316
6 202215
7 202013
8 20164
9 20132
10 20131

About Brian Karisa

Brian Karisa is a scholar working on Genetics, Animal Science and Zoology, Agronomy and Crop Science, Cancer Research and Molecular Biology, having authored 10 papers that have together received 250 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), Cancer-related molecular mechanisms research (2 papers), Animal Nutrition and Physiology (2 papers), Ruminant Nutrition and Digestive Physiology (2 papers), Meat and Animal Product Quality (2 papers), Bioinformatics and Genomic Networks (1 paper) and Rabbits: Nutrition, Reproduction, Health (1 paper). The work is most often cited by research in Agronomy and Crop Science (89 citations), Animal Science and Zoology (84 citations), Genetics (188 citations), Cancer Research (43 citations) and Aquatic Science (9 citations). Brian Karisa has collaborated with scholars based in Canada, Australia and United States. Frequent co-authors include Graham Plastow, S. S. Moore, Jennifer M. Thomson, Paul Stothard, Z. Wang, Stephen P. Miller, Y.R. Montanholi, E. C. Akanno, Mohammed Abo-Ismail and J. A. Basarab. Their work appears in journals such as Journal of Animal Science, Scientific Reports, Animal Science Journal, Livestock Science and Frontiers in Genetics.

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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