Sam Strain

1.2k total citations
31 papers, 467 citations indexed

About

Sam Strain is a scholar working on Epidemiology, Small Animals and Infectious Diseases. According to data from OpenAlex, Sam Strain has authored 31 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Epidemiology, 13 papers in Small Animals and 9 papers in Infectious Diseases. Recurrent topics in Sam Strain's work include Mycobacterium research and diagnosis (19 papers), Infectious Diseases and Mycology (8 papers) and Animal Disease Management and Epidemiology (8 papers). Sam Strain is often cited by papers focused on Mycobacterium research and diagnosis (19 papers), Infectious Diseases and Mycology (8 papers) and Animal Disease Management and Epidemiology (8 papers). Sam Strain collaborates with scholars based in United Kingdom, Ireland and Slovenia. Sam Strain's co-authors include Michael Welsh, Robin J. Flynn, Grace Mulcahy, Jim McNair, Diana Williams, Matthew Baylis, Peter J. Diggle, David Corbett, Catherine M. McCann and Peter Andersen and has published in prestigious journals such as Nature Communications, PLoS ONE and Journal of Dairy Science.

In The Last Decade

Sam Strain

29 papers receiving 458 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sam Strain United Kingdom 14 231 178 172 128 77 31 467
Jim McNair United Kingdom 12 343 1.5× 304 1.7× 167 1.0× 109 0.9× 57 0.7× 17 554
Berhanu Mekibib Ethiopia 13 88 0.4× 102 0.6× 126 0.7× 202 1.6× 97 1.3× 32 508
Claire Laugier France 13 94 0.4× 132 0.7× 112 0.7× 95 0.7× 114 1.5× 38 469
T. Mallon United Kingdom 13 234 1.0× 250 1.4× 166 1.0× 88 0.7× 89 1.2× 25 523
A. Benkirane Morocco 11 163 0.7× 79 0.4× 232 1.3× 136 1.1× 91 1.2× 26 505
Simon R. Clegg United Kingdom 15 108 0.5× 154 0.9× 226 1.3× 160 1.3× 37 0.5× 27 557
Maria Guelbenzu‐Gonzalo United Kingdom 15 175 0.8× 197 1.1× 105 0.6× 289 2.3× 28 0.4× 41 510
Ulla Rikula Finland 11 212 0.9× 113 0.6× 83 0.5× 127 1.0× 70 0.9× 12 463
Hong‐Bo Ni China 15 140 0.6× 202 1.1× 74 0.4× 108 0.8× 260 3.4× 46 557
Kees van Maanen Netherlands 15 212 0.9× 201 1.1× 88 0.5× 226 1.8× 90 1.2× 27 568

Countries citing papers authored by Sam Strain

Since Specialization
Citations

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

Fields of papers citing papers by Sam Strain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sam Strain

This figure shows the co-authorship network connecting the top 25 collaborators of Sam Strain. A scholar is included among the top collaborators of Sam Strain 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 Sam Strain. Sam Strain 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.
Strain, Sam, et al.. (2025). Utilising on-farm risk assessment data for the management of Johne’s disease in dairy cattle in Northern Ireland. Preventive Veterinary Medicine. 241. 106538–106538.
2.
Adenuga, Adewale Henry, et al.. (2024). Behavioural Factors Influencing the Intention to Adopt Sheep Scab Control Measures in Northern Ireland. Animals. 14(6). 912–912.
3.
Bradley, Andrew, R.J. Dewhurst, Niamh Forde, et al.. (2024). Quantification of the effect of in utero events on lifetime resilience in dairy cows. Journal of Dairy Science. 107(7). 4616–4633. 1 indexed citations
4.
Morrison, Rosanna Mentzer, et al.. (2024). Challenges for the management of Johne’s disease in the UK: Expectation management, space, ‘free riding’, and vet-farmer communication. Preventive Veterinary Medicine. 231. 106295–106295. 2 indexed citations
5.
6.
Santman-Berends, I.M.G.A., et al.. (2021). An Overview of Current Approaches and Challenges to the Control of Endemic Infectious Cattle Diseases in Albania. Frontiers in Veterinary Science. 8. 671873–671873. 2 indexed citations
7.
Strain, Sam, et al.. (2021). The Northern Ireland Control Programmes for Infectious Cattle Diseases Not Regulated by the EU. Frontiers in Veterinary Science. 8. 694197–694197. 4 indexed citations
8.
Ózsvári, László, et al.. (2020). The Impact of Paratuberculosis on Milk Production, Fertility, and Culling in Large Commercial Hungarian Dairy Herds. Frontiers in Veterinary Science. 7. 565324–565324. 18 indexed citations
9.
Byrne, Andrew W., Jordon Graham, Georgina Milne, Maria Guelbenzu‐Gonzalo, & Sam Strain. (2019). Is There a Relationship Between Bovine Tuberculosis (bTB) Herd Breakdown Risk and Mycobacterium avium subsp. paratuberculosis Status? An Investigation in bTB Chronically and Non-chronically Infected Herds. Frontiers in Veterinary Science. 6. 30–30. 15 indexed citations
10.
11.
12.
Byrne, Andrew W., Maria Guelbenzu‐Gonzalo, Sam Strain, et al.. (2017). Assessment of concurrent infection with bovine viral diarrhoea virus (BVDV) and Mycobacterium bovis: A herd-level risk factor analysis from Northern Ireland. Preventive Veterinary Medicine. 141. 38–47. 14 indexed citations
13.
Courcier, Emily, F. D. Menzies, Sam Strain, et al.. (2017). Monitoring Mycobacterium bovis in Eurasian badgers ( Meles meles ) killed by vehicles in Northern Ireland between 1998 and 2011. Veterinary Record. 182(9). 259–259. 15 indexed citations
14.
Botaro, Bruno Garcia, E. Ruelle, Simon J. More, et al.. (2017). Associations between paratuberculosis ELISA results and test-day records of cows enrolled in the Irish Johne's Disease Control Program. Journal of Dairy Science. 100(9). 7468–7477. 3 indexed citations
15.
Lahuerta‐Marin, Angela, J. McNair, Robin Skuce, et al.. (2016). Risk factors for failure to detect bovine tuberculosis in cattle from infected herds across Northern Ireland (2004–2010). Research in Veterinary Science. 107. 233–239. 25 indexed citations
16.
McAloon, Conor G., Michael L. Doherty, Paul Whyte, et al.. (2016). Bayesian estimation of prevalence of paratuberculosis in dairy herds enrolled in a voluntary Johne’s Disease Control Programme in Ireland. Preventive Veterinary Medicine. 128. 95–100. 44 indexed citations
17.
More, Simon J., Angus Cameron, Sam Strain, et al.. (2015). Evaluation of testing strategies to identify infected animals at a single round of testing within dairy herds known to be infected with Mycobacterium avium ssp. paratuberculosis. Journal of Dairy Science. 98(8). 5194–5210. 14 indexed citations
18.
More, Simon J., et al.. (2013). The effect of alternative testing strategies and bio-exclusion practices on Johne’s disease risk in test-negative herds. Journal of Dairy Science. 96(3). 1581–1590. 19 indexed citations
19.
Diggle, Peter J., Catherine M. McCann, Grace Mulcahy, et al.. (2012). Fasciola hepatica is associated with the failure to detect bovine tuberculosis in dairy cattle. Nature Communications. 3(1). 853–853. 115 indexed citations
20.
Caldow, George, et al.. (2007). A survey to estimate the herd level prevalence of paratuberculosis in the dairy herd of the United Kingdom. View. 15(2). 169–171. 5 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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