Sinéad M. Waters

7.8k total citations
164 papers, 3.8k citations indexed

About

Sinéad M. Waters is a scholar working on Agronomy and Crop Science, Genetics and Molecular Biology. According to data from OpenAlex, Sinéad M. Waters has authored 164 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 97 papers in Agronomy and Crop Science, 64 papers in Genetics and 37 papers in Molecular Biology. Recurrent topics in Sinéad M. Waters's work include Ruminant Nutrition and Digestive Physiology (70 papers), Genetic and phenotypic traits in livestock (61 papers) and Reproductive Physiology in Livestock (47 papers). Sinéad M. Waters is often cited by papers focused on Ruminant Nutrition and Digestive Physiology (70 papers), Genetic and phenotypic traits in livestock (61 papers) and Reproductive Physiology in Livestock (47 papers). Sinéad M. Waters collaborates with scholars based in Ireland, United Kingdom and United States. Sinéad M. Waters's co-authors include D.A. Kenny, Matthew S. McCabe, Ciara A. Carberry, Kate Keogh, M.G. Diskin, David Kenny, Alan K. Kelly, Mark McGee, M. McGee and A. K. Kelly and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Sinéad M. Waters

159 papers receiving 3.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sinéad M. Waters Ireland 35 2.2k 1.5k 860 723 394 164 3.8k
Erin E. Connor United States 36 1.4k 0.6× 1.4k 1.0× 773 0.9× 775 1.1× 303 0.8× 87 3.5k
H. C. Freetly United States 37 2.7k 1.2× 1.9k 1.3× 703 0.8× 1.1k 1.6× 209 0.5× 172 4.2k
J.P. Cant Canada 32 1.8k 0.8× 1.2k 0.8× 664 0.8× 801 1.1× 123 0.3× 139 3.3k
Gérson Barreto Mourão Brazil 30 1.0k 0.5× 1.4k 0.9× 505 0.6× 1.1k 1.5× 351 0.9× 221 3.0k
Shengyong Mao China 40 3.3k 1.5× 846 0.6× 2.1k 2.4× 670 0.9× 175 0.4× 174 5.2k
B.A. Crooker United States 31 2.0k 0.9× 1.4k 1.0× 275 0.3× 1.2k 1.7× 206 0.5× 90 3.5k
Giuseppe Campanile Italy 32 2.0k 0.9× 1.7k 1.2× 532 0.6× 812 1.1× 186 0.5× 183 3.5k
G. Breves Germany 37 1.9k 0.9× 850 0.6× 1.1k 1.3× 1.1k 1.6× 184 0.5× 304 5.4k
J. A. Basarab Canada 41 2.8k 1.3× 3.2k 2.1× 579 0.7× 2.3k 3.2× 457 1.2× 164 5.7k
A. K. Kelly Ireland 30 1.3k 0.6× 1.0k 0.7× 375 0.4× 584 0.8× 126 0.3× 116 2.7k

Countries citing papers authored by Sinéad M. Waters

Since Specialization
Citations

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

Fields of papers citing papers by Sinéad M. Waters

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sinéad M. Waters. 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 Sinéad M. Waters. The network helps show where Sinéad M. Waters may publish in the future.

Co-authorship network of co-authors of Sinéad M. Waters

This figure shows the co-authorship network connecting the top 25 collaborators of Sinéad M. Waters. A scholar is included among the top collaborators of Sinéad M. Waters 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 Sinéad M. Waters. Sinéad M. Waters 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.
Waters, Sinéad M., Paul E. Smith, D.A. Kenny, et al.. (2025). International Symposium on Ruminant Physiology: The role of rumen microbiome in the development of methane mitigation strategies for ruminant livestock. Journal of Dairy Science. 108(7). 7591–7606. 3 indexed citations
2.
3.
Waters, Sinéad M., et al.. (2025). A Comprehensive Review: Molecular Diagnostics and Multi-Omics Approaches to Understanding Bovine Respiratory Disease. Veterinary Sciences. 12(11). 1095–1095.
4.
5.
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
6.
O’Flaherty, Vincent, et al.. (2024). 95. Dietary supplementation with rapeseed oil and cake on animal performance, methane emissions, and digestibility of beef cattle. Animal - science proceedings. 15(1). 105–106.
7.
Rowntree, Jason E., et al.. (2023). Ecosystem management using livestock: embracing diversity and respecting ecological principles. Animal Frontiers. 13(2). 28–34. 34 indexed citations
8.
Earley, Bernadette, Dayle Johnston, Matthew S. McCabe, et al.. (2023). Whole blood transcriptome analysis in dairy calves experimentally challenged with bovine herpesvirus 1 (BoHV-1) and comparison to a bovine respiratory syncytial virus (BRSV) challenge. Frontiers in Genetics. 14. 1092877–1092877. 10 indexed citations
9.
Doyle, Evelyn, et al.. (2022). Localization of urea transporter B in the developing bovine rumen. Animal nutrition. 10. 216–222. 1 indexed citations
10.
Smith, Paul E., Daniel Enríquez-Hidalgo, D. Hennessy, et al.. (2020). Sward type alters the relative abundance of members of the rumen microbial ecosystem in dairy cows. Scientific Reports. 10(1). 9317–9317. 14 indexed citations
11.
Abbott, D. Wade, Inga Marie Aasen, K. A. Beauchemin, et al.. (2020). Seaweed and Seaweed Bioactives for Mitigation of Enteric Methane: Challenges and Opportunities. Animals. 10(12). 2432–2432. 119 indexed citations
12.
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
13.
Waters, Sinéad M., et al.. (2018). RNA-seq analysis of bovine adipose tissue in heifers fed diets differing in energy and protein content. PLoS ONE. 13(9). e0201284–e0201284. 15 indexed citations
14.
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
15.
McClure, Matthew, et al.. (2015). SNP selection for nationwide parentage verification and identification in beef and dairy cattle.. 175–181. 8 indexed citations
16.
Waters, Sinéad M., et al.. (2014). Alterations in hepatic miRNA expression during negative energy balance in postpartum dairy cattle. BMC Genomics. 15(1). 28–28. 20 indexed citations
17.
Mullen, Michael P., John F. Kearney, Sinéad M. Waters, et al.. (2013). Development of a custom SNP chip for dairy and beef cattle breeding, parentage and research. Bulletin - International Bull Evaluation Service/Interbull bulletin. 58–66. 18 indexed citations
18.
Mullen, Michael P., C.O. Lynch, Sinéad M. Waters, et al.. (2011). Single nucleotide polymorphisms in the growth hormone and insulin-like growth factor-1 genes are associated with milk production, body condition score and fertility traits in dairy cows. Genetics and Molecular Research. 10(3). 1819–1830. 45 indexed citations
19.
Alam, Tanweer, Bojlul Bahar, Sinéad M. Waters, Mark McGee, & Torres Sweeney. (2011). Analysis of multiple polymorphisms in the bovine neuropeptide Y5 receptor gene and structural modelling of the encoded protein. Molecular Biology Reports. 39(4). 4411–4421. 3 indexed citations
20.
Berry, D.P., et al.. (2010). Associations between the K232A polymorphism in the diacylglycerol-O-transferase 1 (DGAT1) gene and performance in Irish Holstein-Friesian dairy cattle. Irish Journal of Agricultural and Food Research. 49(1). 1–9. 30 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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