Kate Keogh

3.0k total citations
57 papers, 665 citations indexed

About

Kate Keogh is a scholar working on Genetics, Agronomy and Crop Science and Physiology. According to data from OpenAlex, Kate Keogh has authored 57 papers receiving a total of 665 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Genetics, 29 papers in Agronomy and Crop Science and 17 papers in Physiology. Recurrent topics in Kate Keogh's work include Genetic and phenotypic traits in livestock (26 papers), Reproductive Physiology in Livestock (18 papers) and Adipose Tissue and Metabolism (17 papers). Kate Keogh is often cited by papers focused on Genetic and phenotypic traits in livestock (26 papers), Reproductive Physiology in Livestock (18 papers) and Adipose Tissue and Metabolism (17 papers). Kate Keogh collaborates with scholars based in Ireland, Australia and United Kingdom. Kate Keogh's co-authors include Sinéad M. Waters, D.A. Kenny, A. K. Kelly, Paul Cormican, Matthew S. McCabe, David Kenny, Alan K. Kelly, Changxi Li, Robert Mukiibi and Michael Vinsky and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Kate Keogh

54 papers receiving 655 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kate Keogh Ireland 16 326 310 146 130 102 57 665
Wellison J. S. Diniz United States 17 214 0.7× 352 1.1× 121 0.8× 224 1.7× 167 1.6× 83 747
Miguel Henrique de Almeida Santana Brazil 17 271 0.8× 546 1.8× 246 1.7× 128 1.0× 146 1.4× 62 809
Elda Dervishi Canada 16 490 1.5× 358 1.2× 339 2.3× 172 1.3× 78 0.8× 50 855
A. F. Keating United States 16 333 1.0× 180 0.6× 444 3.0× 161 1.2× 51 0.5× 26 935
Eneiva Carla Carvalho Celeghini Brazil 19 331 1.0× 239 0.8× 145 1.0× 123 0.9× 57 0.6× 84 1.2k
Pâmela A. Alexandre Australia 16 152 0.5× 482 1.6× 133 0.9× 263 2.0× 187 1.8× 61 785
S. A. McCoard New Zealand 19 338 1.0× 375 1.2× 146 1.0× 194 1.5× 43 0.4× 65 927
Marion Schmicke Germany 14 317 1.0× 174 0.6× 150 1.0× 78 0.6× 34 0.3× 74 688
José Pires France 16 630 1.9× 373 1.2× 211 1.4× 94 0.7× 73 0.7× 40 832
R. Pfuhl Germany 13 170 0.5× 183 0.6× 202 1.4× 131 1.0× 70 0.7× 19 685

Countries citing papers authored by Kate Keogh

Since Specialization
Citations

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

Fields of papers citing papers by Kate Keogh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kate Keogh

This figure shows the co-authorship network connecting the top 25 collaborators of Kate Keogh. A scholar is included among the top collaborators of Kate Keogh 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 Kate Keogh. Kate Keogh 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
1.
Keogh, Kate, David Kenny, Pâmela A. Alexandre, et al.. (2024). Relationship between the rumen microbiome and liver transcriptome in beef cattle divergent for feed efficiency. SHILAP Revista de lepidopterología. 6(1). 52–52. 4 indexed citations
2.
Keogh, Kate, D.A. Kenny, Pâmela A. Alexandre, M. McGee, & Antônio Reverter. (2024). An across breed, diet and tissue analysis reveals the transcription factor NR1H3 as a key mediator of residual feed intake in beef cattle. BMC Genomics. 25(1). 234–234. 1 indexed citations
3.
4.
Banchero, Georgget, Verónica Ciganda, Kate Keogh, et al.. (2024). Methane emissions and rumen microbiome response during compensatory growth on either a forage or grain-based finishing diet in beef cattle. Translational Animal Science. 8. txae143–txae143. 1 indexed citations
5.
Altshuler, Ianina, Arturo Vera‐Ponce de León, Juline M. Walter, et al.. (2023). Metabolic influence of core ciliates within the rumen microbiome. The ISME Journal. 17(7). 1128–1140. 30 indexed citations
6.
Byrne, C.J., Kate Keogh, & D.A. Kenny. (2023). Review: Role of early life nutrition in regulating sexual development in bulls. animal. 17. 100802–100802. 4 indexed citations
7.
8.
Beltman, Marijke E., et al.. (2022). The effect of natural and induced calving of beef heifers on stress-related gene expression and maternal health and immunity. animal. 16(6). 100550–100550. 3 indexed citations
9.
Byrne, C.J., A. K. Kelly, Kate Keogh, & D.A. Kenny. (2022). Enhancing early life nutrition alters the hepatic transcriptome of Angus × Holstein-Friesian heifer calves. animal. 16(8). 100577–100577. 1 indexed citations
10.
Keogh, Kate, Elaine M. Dunleavy, Eli Sellem, et al.. (2022). Identification of differentially expressed mRNAs and miRNAs in spermatozoa of bulls of varying fertility. Frontiers in Veterinary Science. 9. 993561–993561. 15 indexed citations
11.
Keogh, Kate, et al.. (2020). Effect of dietary restriction and subsequent realimentation on hepatic oxidative phosphorylation in cattle. animal. 15(1). 100009–100009. 5 indexed citations
12.
Mukiibi, Robert, Michael Vinsky, Kate Keogh, et al.. (2019). Liver transcriptome profiling of beef steers with divergent growth rate, feed intake, or metabolic body weight phenotypes1. Journal of Animal Science. 97(11). 4386–4404. 25 indexed citations
13.
Keogh, Kate, David Kenny, & Sinéad M. Waters. (2019). Gene co-expression networks contributing to the expression of compensatory growth in metabolically active tissues in cattle. Scientific Reports. 9(1). 6093–6093. 10 indexed citations
14.
Mukiibi, Robert, et al.. (2018). Transcriptome analysis of liver tissues in Charolais steers with divergent marbling phenotypes. Proceedings of the World Congress on Genetics Applied to Livestock Production. 626. 1 indexed citations
15.
Keogh, Kate, D.A. Kenny, & Sinéad M. Waters. (2018). Gene networks contributing to compensatory growth in hepatic tissue in cattle. Proceedings of the World Congress on Genetics Applied to Livestock Production. 135. 1 indexed citations
16.
Earley, Bernadette, M. McGee, Kate Keogh, et al.. (2018). Blood immune transcriptome analysis of artificially fed dairy calves and naturally suckled beef calves from birth to 7 days of age. Scientific Reports. 8(1). 15461–15461. 9 indexed citations
17.
Keogh, Kate, Sinéad M. Waters, Paul Cormican, A. K. Kelly, & D.A. Kenny. (2018). Effect of dietary restriction and subsequent re-alimentation on the transcriptional profile of bovine jejunal epithelium. PLoS ONE. 13(3). e0194445–e0194445. 13 indexed citations
18.
Keogh, Kate, D.A. Kenny, Paul Cormican, et al.. (2016). Effect of Dietary Restriction and Subsequent Re-Alimentation on the Transcriptional Profile of Bovine Skeletal Muscle. PLoS ONE. 11(2). e0149373–e0149373. 30 indexed citations
19.
Keogh, Kate, D.A. Kenny, Paul Cormican, A. K. Kelly, & Sinéad M. Waters. (2016). Effect of dietary restriction and subsequent re-alimentation on the transcriptional profile of hepatic tissue in cattle. BMC Genomics. 17(1). 244–244. 41 indexed citations
20.
Keogh, Kate. (2014). Feed restriction and subsequent re-alimentation affect the expression of oxidative phosphorylation genes in skeletal muscle of Holstein Friesian bulls. 2 indexed citations

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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