F. Kearney
- Genetics top 5%
- Agronomy and Crop Science top 5%
- Cancer Research
- Animal Science and Zoology top 5%
- Plant Science
- Co-authors
- D.P. BerryDaniel G. BradleyFuping ZhaoLixin DuS. McParlandDavid J. LynnEmma K. FinlayAlan G. Fahey
- Topics
- Genetic and phenotypic traits in livestock (19 papers)Reproductive Physiology in Livestock (9 papers)Genetic Mapping and Diversity in Plants and Animals (9 papers)
- Partner nations
- IrelandUnited StatesCanada
In The Last Decade
F. Kearney
21 papers receiving 613 citations
Peers
Comparison fields: 5 of 42
- Genetics 544
- Agronomy and Crop Science 227
- Cancer Research 158
- Animal Science and Zoology 88
- Plant Science 86
Countries citing papers authored by F. Kearney
This map shows the geographic impact of F. Kearney'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 F. Kearney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F. Kearney more than expected).
Fields of papers citing papers by F. Kearney
This network shows the impact of papers produced by F. Kearney. 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 F. Kearney. The network helps show where F. Kearney may publish in the future.
Co-authorship network of co-authors of F. Kearney
This figure shows the co-authorship network connecting the top 25 collaborators of F. Kearney. A scholar is included among the top collaborators of F. Kearney 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 F. Kearney. F. Kearney is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 15 | |
| 4 | 8 | |
| 5 | 20 | |
| 6 | The role of national progeny testing programmes to collect phenotypes for dairy and beef cattle evaluations in the genomics era | 1 |
| 7 | Changes to the genetic evaluation of fertility in Irish dairy cattle | 1 |
| 8 | 162 | |
| 9 | 55 | |
| 10 | 57 | |
| 11 | 128 | |
| 12 | Multi-breed genetic evaluation for docility in Irisch Suckler Beef Cattle | 6 |
| 13 | Genomic selection in Ireland | 43 |
| 14 | Implementation and uptake of genomic evaluations in Ireland | 2 |
| 15 | 71 | |
| 16 | Developments in national and international beef evaluations; some experiences from Ireland | 3 |
| 17 | Genetic relationships in the Holstein cow population in three major dairy countries | 0 |
| 18 | Genetic improvement in the Irish suckler beef herd: industry expectation and experience so far | 13 |
| 19 | 14 | |
| 20 | 20 |
About F. Kearney
F. Kearney is a scholar working on Agronomy and Crop Science, Genetics and Small Animals, having authored 22 papers that have together received 627 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (19 papers), Reproductive Physiology in Livestock (9 papers) and Genetic Mapping and Diversity in Plants and Animals (9 papers). The work is most often cited by research in Agronomy and Crop Science (227 citations), Genetics (544 citations) and Cancer Research (158 citations). F. Kearney has collaborated with scholars based in Ireland, United States and Canada. Frequent co-authors include D.P. Berry, Daniel G. Bradley, Fuping Zhao, Lixin Du, S. McParland, David J. Lynn, Emma K. Finlay, Alan G. Fahey, S. Mc Parland and R.D. Evans. Their work appears in journals such as Journal of Dairy Science, Journal of Animal 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.