Robin Skuce

6.8k total citations
81 papers, 3.2k citations indexed

About

Robin Skuce is a scholar working on Infectious Diseases, Epidemiology and Agronomy and Crop Science. According to data from OpenAlex, Robin Skuce has authored 81 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Infectious Diseases, 59 papers in Epidemiology and 19 papers in Agronomy and Crop Science. Recurrent topics in Robin Skuce's work include Tuberculosis Research and Epidemiology (57 papers), Mycobacterium research and diagnosis (57 papers) and Animal Disease Management and Epidemiology (17 papers). Robin Skuce is often cited by papers focused on Tuberculosis Research and Epidemiology (57 papers), Mycobacterium research and diagnosis (57 papers) and Animal Disease Management and Epidemiology (17 papers). Robin Skuce collaborates with scholars based in United Kingdom, Ireland and France. Robin Skuce's co-authors include Adrian Allen, S.W.J. McDowell, S.D. Neill, M S Hughes, J.M. Pollock, David Brittain, Andrew W. Byrne, Solvig Roring, R. Glyn Hewinson and Carl McCormick and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Robin Skuce

81 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robin Skuce United Kingdom 35 2.2k 2.0k 686 644 541 81 3.2k
Eamonn Gormley Ireland 36 2.3k 1.1× 1.9k 0.9× 391 0.6× 662 1.0× 568 1.0× 116 3.5k
Beatriz Romero Spain 32 2.3k 1.0× 2.2k 1.1× 540 0.8× 476 0.7× 643 1.2× 126 2.9k
Lucía de Juan Spain 32 2.1k 1.0× 2.3k 1.1× 521 0.8× 374 0.6× 585 1.1× 120 2.9k
Ana Mateos Spain 34 1.9k 0.9× 1.9k 1.0× 603 0.9× 218 0.3× 496 0.9× 69 2.7k
S.D. Neill United Kingdom 35 2.2k 1.0× 2.1k 1.0× 558 0.8× 373 0.6× 553 1.0× 67 3.3k
Javier Bezos Spain 30 2.1k 1.0× 2.0k 1.0× 511 0.7× 412 0.6× 624 1.2× 113 2.6k
María Laura Boschiroli France 25 1.3k 0.6× 1.6k 0.8× 330 0.5× 335 0.5× 288 0.5× 42 2.5k
Janet B. Payeur United States 28 1.2k 0.6× 1.4k 0.7× 291 0.4× 350 0.5× 399 0.7× 52 2.0k
Suelee Robbe‐Austerman United States 28 1.5k 0.7× 1.3k 0.7× 177 0.3× 315 0.5× 369 0.7× 98 2.3k
María Beatrice Boniotti Italy 30 1.5k 0.7× 957 0.5× 258 0.4× 306 0.5× 199 0.4× 97 3.3k

Countries citing papers authored by Robin Skuce

Since Specialization
Citations

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

Fields of papers citing papers by Robin Skuce

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robin Skuce

This figure shows the co-authorship network connecting the top 25 collaborators of Robin Skuce. A scholar is included among the top collaborators of Robin Skuce 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 Robin Skuce. Robin Skuce 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.
O’Hare, Anthony, David M. Wright, Carl McCormick, et al.. (2021). A new phylodynamic model of Mycobacterium bovis transmission in a multi-host system uncovers the role of the unobserved reservoir. PLoS Computational Biology. 17(6). e1009005–e1009005. 4 indexed citations
2.
Rossi, Gianluigi, Joseph Crispell, Samantha Lycett, et al.. (2021). Phylodynamic analysis of an emergent Mycobacterium bovis outbreak in an area with no previously known wildlife infections. Journal of Applied Ecology. 59(1). 210–222. 27 indexed citations
3.
Milne, Georgina, Adrian Allen, Jordon Graham, et al.. (2020). Bovine tuberculosis breakdown duration in cattle herds: an investigation of herd, host, pathogen and wildlife risk factors. PeerJ. 8. e8319–e8319. 14 indexed citations
4.
Allen, Adrian, Georgina Milne, Kevin P. Drees, et al.. (2020). Genomic epizootiology of a Brucella abortus outbreak in Northern Ireland (1997–2012). Infection Genetics and Evolution. 81. 104235–104235. 12 indexed citations
5.
Milne, Georgina, Jordon Graham, Adrian Allen, et al.. (2019). Variation in Mycobacterium bovis genetic richness suggests that inwards cattle movements are a more important source of infection in beef herds than in dairy herds. BMC Microbiology. 19(1). 154–154. 14 indexed citations
6.
Crispell, Joseph, Nicola De Maio, Adrian Allen, et al.. (2019). Combining genomics and epidemiology to analyse bi-directional transmission of Mycobacterium bovis in a multi-host system. eLife. 8. 111 indexed citations
7.
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
8.
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
9.
Jensen, Kirsty, Iain J. Gallagher, Michael Welsh, et al.. (2017). Variation in the Early Host-Pathogen Interaction of Bovine Macrophages with Divergent Mycobacterium bovis Strains in the United Kingdom. Infection and Immunity. 86(3). 12 indexed citations
10.
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
11.
Byrne, Andrew W., Angela Lahuerta‐Marin, Maria Guelbenzu‐Gonzalo, et al.. (2016). Liver fluke (Fasciola hepatica) infection in cattle in Northern Ireland: a large-scale epidemiological investigation utilising surveillance data. Parasites & Vectors. 9(1). 209–209. 32 indexed citations
12.
Trewby, Hannah, David M. Wright, Samantha Lycett, et al.. (2015). Use of bacterial whole-genome sequencing to investigate local persistence and spread in bovine tuberculosis. Epidemics. 14. 26–35. 60 indexed citations
13.
Wright, David M., Adrian Allen, S.W.J. McDowell, et al.. (2013). Detectability of bovine TB using the tuberculin skin test does not vary significantly according to pathogen genotype within Northern Ireland. Infection Genetics and Evolution. 19. 15–22. 14 indexed citations
14.
Skuce, Robin, Adrian Allen, & S.W.J. McDowell. (2011). Bovine Tuberculosis (TB): A Review Of Cattle-To-Cattle Transmission, Risk Factors And Susceptibility. 14 indexed citations
15.
Allen, Adrian, Robin Skuce, & S.W.J. McDowell. (2011). Bovine TB: a review of badger-to-cattle transmission. 10 indexed citations
16.
Kremer, Kristin, Catherine Arnold, Angel Cataldi, et al.. (2005). Discriminatory Power and Reproducibility of Novel DNA Typing Methods forMycobacterium tuberculosisComplex Strains. Journal of Clinical Microbiology. 43(11). 5628–5638. 76 indexed citations
17.
Roring, Solvig, Alistair Scott, David Brittain, et al.. (2002). Development of Variable-Number Tandem Repeat Typing ofMycobacterium bovis: Comparison of Results with Those Obtained by Using Existing Exact Tandem Repeats and Spoligotyping. Journal of Clinical Microbiology. 40(6). 2126–2133. 123 indexed citations
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20.
Thorne, H.V., et al.. (1985). The inactivation of herpes simplex virus by some Solanaceae glycoalkaloids. Antiviral Research. 5(6). 335–343. 69 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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