Roy D. Sleator

9.2k total citations · 2 hit papers
178 papers, 6.4k citations indexed

About

Roy D. Sleator is a scholar working on Molecular Biology, Food Science and Biotechnology. According to data from OpenAlex, Roy D. Sleator has authored 178 papers receiving a total of 6.4k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Molecular Biology, 53 papers in Food Science and 38 papers in Biotechnology. Recurrent topics in Roy D. Sleator's work include Listeria monocytogenes in Food Safety (33 papers), Genetic and phenotypic traits in livestock (27 papers) and Salmonella and Campylobacter epidemiology (25 papers). Roy D. Sleator is often cited by papers focused on Listeria monocytogenes in Food Safety (33 papers), Genetic and phenotypic traits in livestock (27 papers) and Salmonella and Campylobacter epidemiology (25 papers). Roy D. Sleator collaborates with scholars based in Ireland, United Kingdom and United States. Roy D. Sleator's co-authors include Colin Hill, Cormac G. M. Gahan, Audrey Feeney, Aoife Howard, Eamonn P. Culligan, Aisling O’Driscoll, Gerald F. Fitzgerald, Tjakko Abee, Brigid Lucey and Alan L. Kelly and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Applied and Environmental Microbiology.

In The Last Decade

Roy D. Sleator

176 papers receiving 6.2k citations

Hit Papers

Bacterial osmoadaptation: the role of osmolytes in bacter... 2002 2026 2010 2018 2002 2012 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Roy D. Sleator Ireland 40 2.4k 2.1k 1.6k 842 720 178 6.4k
Torsten Hain Germany 44 2.2k 0.9× 1.8k 0.8× 2.0k 1.3× 758 0.9× 798 1.1× 133 6.0k
Bjarke Bak Christensen Denmark 37 3.1k 1.3× 1.7k 0.8× 785 0.5× 578 0.7× 478 0.7× 84 5.5k
Georges Daube Belgium 47 2.5k 1.0× 3.2k 1.5× 1.0k 0.6× 1.9k 2.3× 644 0.9× 286 7.4k
Suresh D. Pillai United States 38 1.4k 0.6× 1.4k 0.6× 731 0.5× 699 0.8× 703 1.0× 198 5.0k
Stanley Brul Netherlands 49 4.8k 2.0× 2.0k 1.0× 1.4k 0.9× 1.1k 1.3× 231 0.3× 198 8.6k
Sacha A. F. T. van Hijum Netherlands 47 3.7k 1.5× 1.9k 0.9× 985 0.6× 600 0.7× 217 0.3× 124 6.8k
Arun K. Bhunia United States 55 3.7k 1.5× 3.9k 1.8× 3.0k 1.9× 802 1.0× 711 1.0× 262 9.9k
Jing Han China 36 1.6k 0.7× 1.6k 0.7× 543 0.3× 542 0.6× 450 0.6× 151 4.7k
Younghoon Kim South Korea 40 3.8k 1.6× 1.7k 0.8× 345 0.2× 578 0.7× 616 0.9× 233 7.1k
Sang‐Do Ha South Korea 40 2.7k 1.1× 2.5k 1.2× 1.9k 1.2× 721 0.9× 1.0k 1.4× 286 6.7k

Countries citing papers authored by Roy D. Sleator

Since Specialization
Citations

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

Fields of papers citing papers by Roy D. Sleator

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roy D. Sleator. 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 Roy D. Sleator. The network helps show where Roy D. Sleator may publish in the future.

Co-authorship network of co-authors of Roy D. Sleator

This figure shows the co-authorship network connecting the top 25 collaborators of Roy D. Sleator. A scholar is included among the top collaborators of Roy D. Sleator 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 Roy D. Sleator. Roy D. Sleator 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.
Sleator, Roy D.. (2024). Solving the protein folding problem…. FEBS Letters. 598(23). 2831–2835. 2 indexed citations
2.
Sleator, Roy D. & N. Smith. (2024). COVID-19: did the masks work?. Future Microbiology. 19(11). 997–1002.
3.
Jones, Jennifer, Craig P. Murphy, Roy D. Sleator, & Eamonn P. Culligan. (2024). An exploratory in silico analysis of bacteriocin gene clusters in the urobiome. PubMed. 3(2). 24–24. 3 indexed citations
4.
Sleator, Roy D., et al.. (2024). From Species to Genes: A New Diagnostic Paradigm. Antibiotics. 13(7). 661–661. 2 indexed citations
5.
Sleator, Roy D., et al.. (2024). Effect on prime animal beef merit from breeding solely for lighter dairy cows. Journal of Dairy Science. 107(10). 8150–8156. 2 indexed citations
6.
Murphy, Craig P., et al.. (2023). The association between calf birth weight and the postcalving performance of its dairy dam in the absence of dystocia. Journal of Dairy Science. 107(6). 3688–3699. 5 indexed citations
7.
Sleator, Roy D., et al.. (2022). Re-assessing the importance of linear type traits in predicting genetic merit for survival in an aging Holstein-Friesian dairy cow population. Journal of Dairy Science. 105(9). 7550–7563. 10 indexed citations
8.
Sleator, Roy D., et al.. (2022). Exploiting genetic variability in the trajectory of lactation yield and somatic cell score with each progressing parity. Journal of Dairy Science. 105(4). 3341–3354. 6 indexed citations
9.
Murphy, Craig P., et al.. (2021). Are subjectively scored linear type traits suitable predictors of the genetic merit for feed intake in grazing Holstein-Friesian dairy cows?. Journal of Dairy Science. 105(2). 1346–1356. 3 indexed citations
10.
Elwin, Kristin, et al.. (2020). Cryptosporidiumspp surveillance and epidemiology in Ireland: a longitudinal cohort study employing duplex real-time PCR based speciation of clinical cases. Journal of Clinical Pathology. 73(11). 758–761. 6 indexed citations
11.
Murphy, Craig P., et al.. (2020). Genetic and nongenetic factors associated with lactation length in seasonal-calving, pasture-based dairy cows. Journal of Dairy Science. 104(1). 561–574. 1 indexed citations
12.
Murphy, Craig P., et al.. (2019). Feed efficiency and carcass metrics in growing cattle1. Journal of Animal Science. 97(11). 4405–4417. 33 indexed citations
13.
O’Driscoll, Aisling, John M. Carroll, Kai A. Kropp, et al.. (2015). HBLAST: Parallelised sequence similarity – A Hadoop MapReducable basic local alignment search tool. Journal of Biomedical Informatics. 54. 58–64. 35 indexed citations
14.
O’Driscoll, Aisling & Roy D. Sleator. (2013). Synthetic DNA. Bioengineered. 4(3). 123–125. 11 indexed citations
15.
Sleator, Roy D. & Aisling O’Driscoll. (2013). Digitizing humanity. PubMed. 4(2). 37–38. 1 indexed citations
17.
Sleator, Roy D., et al.. (2009). Carnitine Enhances the Growth of Listeria monocytogenes in Infant Formula at 7°C. Journal of Food Protection. 72(6). 1293–1295. 14 indexed citations
18.
Sleator, Roy D. & Colin Hill. (2008). Molecular Analysis of the Microbial Food Safety Implications of Food Reformulations for Improved Health. Foodborne Pathogens and Disease. 5(4). 499–504. 5 indexed citations
19.
Kelly, Alan L., et al.. (2008). High-pressure processing â effects on microbial food safety and food quality. FEMS Microbiology Letters. 281(1). 1–9. 258 indexed citations
20.
Sleator, Roy D., Henrike H. Wemekamp‐Kamphuis, Cormac G. M. Gahan, Tjakko Abee, & Colin Hill. (2005). A PrfA‐regulated bile exclusion system (BilE) is a novel virulence factor in Listeria monocytogenes. Molecular Microbiology. 55(4). 1183–1195. 118 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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