S. H. McBride

596 total citations
14 papers, 407 citations indexed

About

S. H. McBride is a scholar working on Genetics, Epidemiology and Infectious Diseases. According to data from OpenAlex, S. H. McBride has authored 14 papers receiving a total of 407 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Genetics, 7 papers in Epidemiology and 6 papers in Infectious Diseases. Recurrent topics in S. H. McBride's work include Genetic and phenotypic traits in livestock (9 papers), Mycobacterium research and diagnosis (7 papers) and Tuberculosis Research and Epidemiology (5 papers). S. H. McBride is often cited by papers focused on Genetic and phenotypic traits in livestock (9 papers), Mycobacterium research and diagnosis (7 papers) and Tuberculosis Research and Epidemiology (5 papers). S. H. McBride collaborates with scholars based in United Kingdom and Bangladesh. S. H. McBride's co-authors include S.W.J. McDowell, Robin Skuce, F. D. Menzies, Alan Gordon, Elizabeth Glass, Mairead L. Bermingham, Ricardo Pong‐Wong, Ajay Oza, James McKenna and S.D. Neill and has published in prestigious journals such as PLoS ONE, Scientific Reports and BMC Genomics.

In The Last Decade

S. H. McBride

14 papers receiving 395 citations

Peers

S. H. McBride
Robab Katani United States
A. Godkin Canada
P. Franken Netherlands
Eshetu Yimer Ethiopia
Russell F. Daly United States
F. Bernard France
S. H. McBride
Citations per year, relative to S. H. McBride S. H. McBride (= 1×) peers Karsten Donat

Countries citing papers authored by S. H. McBride

Since Specialization
Citations

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

Fields of papers citing papers by S. H. McBride

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. H. McBride. 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 S. H. McBride. The network helps show where S. H. McBride may publish in the future.

Co-authorship network of co-authors of S. H. McBride

This figure shows the co-authorship network connecting the top 25 collaborators of S. H. McBride. A scholar is included among the top collaborators of S. H. McBride 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 S. H. McBride. S. H. McBride is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Lahuerta‐Marin, Angela, Georgina Milne, J. McNair, et al.. (2018). Bayesian latent class estimation of sensitivity and specificity parameters of diagnostic tests for bovine tuberculosis in chronically infected herds in Northern Ireland. The Veterinary Journal. 238. 15–21. 49 indexed citations
2.
Tsairidou, Smaragda, Adrian Allen, Ricardo Pong‐Wong, et al.. (2018). An analysis of effects of heterozygosity in dairy cattle for bovine tuberculosis resistance. Animal Genetics. 49(2). 103–109. 11 indexed citations
3.
Wilkinson, Samantha, S.C. Bishop, Adrian Allen, et al.. (2017). Fine-mapping host genetic variation underlying outcomes to Mycobacterium bovis infection in dairy cows. BMC Genomics. 18(1). 477–477. 14 indexed citations
4.
Bermingham, Mairead L., Ian Handel, Elizabeth Glass, et al.. (2015). Hui and Walter’s latent-class model extended to estimate diagnostic test properties from surveillance data: a latent model for latent data. Scientific Reports. 5(1). 11861–11861. 16 indexed citations
5.
Tsairidou, Smaragda, John Woolliams, Adrian Allen, et al.. (2014). Genomic Prediction for Tuberculosis Resistance in Dairy Cattle. PLoS ONE. 9(5). e96728–e96728. 37 indexed citations
6.
Bermingham, Mairead L., Steve Bishop, J.A. Woolliams, et al.. (2014). Genome-wide association study identifies novel loci associated with resistance to bovine tuberculosis. Heredity. 112(5). 543–551. 81 indexed citations
7.
Tsairidou, Smaragda, John Woolliams, Adrian Allen, et al.. (2014). A meta-analysis for bovine tuberculosis resistance in dairy cattle. 2 indexed citations
8.
Skuce, Robin, T. Mallon, Carl McCormick, et al.. (2010). Mycobacterium bovis genotypes in Northern Ireland: herd‐level surveillance (2003 to 2008). Veterinary Record. 167(18). 684–689. 33 indexed citations
9.
Skuce, Robin, T. Mallon, Carl McCormick, et al.. (2010). Bovine tuberculosis: herd-level surveillance of Mycobacterium bovis genotypes in Northern Ireland (2003-2008). Advances in Animal Biosciences. 1(1). 112–112. 5 indexed citations
10.
McDowell, S.W.J., F. D. Menzies, S. H. McBride, et al.. (2008). Campylobacter spp. in conventional broiler flocks in Northern Ireland: Epidemiology and risk factors. Preventive Veterinary Medicine. 84(3-4). 261–276. 79 indexed citations
11.
Skuce, Robin, S.W.J. McDowell, T. Mallon, et al.. (2005). Discrimination of isolates of Mycobacterium bovis in Northern Ireland on the basis of variable numbers of tandem repeats (VNTRs). Veterinary Record. 157(17). 501–504. 56 indexed citations
12.
Menzies, F. D., et al.. (2003). Risk factors for toxic mastitis in cows. Veterinary Record. 152(11). 319–322. 7 indexed citations
13.
Menzies, F. D., et al.. (2003). An epidemiological study of bovine toxic mastitis.. 1–13. 2 indexed citations
14.
Menzies, F. D., S. H. McBride, S.W.J. McDowell, et al.. (2000). Clinical and laboratory findings in cases of toxic mastitis in cows in Northern Ireland. Veterinary Record. 147(5). 123–128. 15 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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