Stephanie McKay
- Genetics top 1%
- Molecular Biology
- Plant Science top 5%
- Cancer Research top 5%
- Agronomy and Crop Science top 2%
- Co-authors
- Robert D. SchnabelJeremy F. TaylorMegan M RolfBrenda M. MurdochMatthew McClureJared E. DeckerRichard H. ChappleS. S. Moore
- Topics
- Genetic and phenotypic traits in livestock (24 papers)Genetic Mapping and Diversity in Plants and Animals (19 papers)Epigenetics and DNA Methylation (11 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEGenome Research
- Partner nations
- United StatesCanadaItaly
In The Last Decade
Stephanie McKay
54 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 112
- Genetics 1.7k
- Molecular Biology 584
- Plant Science 461
- Cancer Research 430
- Agronomy and Crop Science 327
Countries citing papers authored by Stephanie McKay
This map shows the geographic impact of Stephanie McKay'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 Stephanie McKay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephanie McKay more than expected).
Fields of papers citing papers by Stephanie McKay
This network shows the impact of papers produced by Stephanie McKay. 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 Stephanie McKay. The network helps show where Stephanie McKay may publish in the future.
Co-authorship network of co-authors of Stephanie McKay
This figure shows the co-authorship network connecting the top 25 collaborators of Stephanie McKay. A scholar is included among the top collaborators of Stephanie McKay 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 Stephanie McKay. Stephanie McKay is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 37 | |
| 6 | 7 | |
| 7 | 72 | |
| 8 | 336 | |
| 9 | 31 | |
| 10 | 165 | |
| 11 | 32 | |
| 12 | 88 | |
| 13 | 83 | |
| 14 | 14 | |
| 15 | 21 | |
| 16 | 35 | |
| 17 | 17 | |
| 18 | 198 | |
| 19 | A genome-wide scan for quantitative trait loci affecting ultrasound and carcass backfat thickness in beef cattle. | 1 |
| 20 | 17 |
About Stephanie McKay
Stephanie McKay is a scholar working on Genetics, Cancer Research and Neurology, having authored 55 papers that have together received 2.4k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (24 papers), Genetic Mapping and Diversity in Plants and Animals (19 papers) and Epigenetics and DNA Methylation (11 papers). The work is most often cited by research in Genetics (1.7k citations), Agronomy and Crop Science (327 citations) and Cancer Research (430 citations). Stephanie McKay has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include Robert D. Schnabel, Jeremy F. Taylor, Megan M Rolf, Brenda M. Murdoch, Matthew McClure, Jared E. Decker, Richard H. Chapple, S. S. Moore, J. L. Williams and Kristian Brevik. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Genome Research.
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.