Samuel K. Sheppard

11.3k total citations · 1 hit paper
158 papers, 7.0k citations indexed

About

Samuel K. Sheppard is a scholar working on Food Science, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Samuel K. Sheppard has authored 158 papers receiving a total of 7.0k indexed citations (citations by other indexed papers that have themselves been cited), including 88 papers in Food Science, 62 papers in Infectious Diseases and 50 papers in Molecular Biology. Recurrent topics in Samuel K. Sheppard's work include Salmonella and Campylobacter epidemiology (82 papers), Viral gastroenteritis research and epidemiology (46 papers) and Genomics and Phylogenetic Studies (25 papers). Samuel K. Sheppard is often cited by papers focused on Salmonella and Campylobacter epidemiology (82 papers), Viral gastroenteritis research and epidemiology (46 papers) and Genomics and Phylogenetic Studies (25 papers). Samuel K. Sheppard collaborates with scholars based in United Kingdom, United States and Japan. Samuel K. Sheppard's co-authors include Martin Maiden, William O. C. Symondson, Noel McCarthy, Guillaume Méric, Keith A. Jolley, James D. Harwood, Ben Pascoe, Daniel Falush, Frances M. Colles and Norval J. C. Strachan and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Samuel K. Sheppard

154 papers receiving 6.8k citations

Hit Papers

Ribosomal multilocus sequence typing: universal character... 2012 2026 2016 2021 2012 100 200 300 400

Peers

Samuel K. Sheppard
Keith A. Jolley United Kingdom
An Martel Belgium
William G. Miller United States
Peter Kuhnert Switzerland
Martin Hunt United Kingdom
Samuel K. Sheppard
Citations per year, relative to Samuel K. Sheppard Samuel K. Sheppard (= 1×) peers Frank Pasmans

Countries citing papers authored by Samuel K. Sheppard

Since Specialization
Citations

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

Fields of papers citing papers by Samuel K. Sheppard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samuel K. Sheppard. 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 Samuel K. Sheppard. The network helps show where Samuel K. Sheppard may publish in the future.

Co-authorship network of co-authors of Samuel K. Sheppard

This figure shows the co-authorship network connecting the top 25 collaborators of Samuel K. Sheppard. A scholar is included among the top collaborators of Samuel K. Sheppard 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 Samuel K. Sheppard. Samuel K. Sheppard 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.
Tewolde, Rediat, Joshua C D'Aeth, Rebecca Thombre, et al.. (2025). Comparative genomic analysis of Mycoplasma pneumoniae isolated in the United Kingdom, between 2016 and 2024. BMC Genomics. 26(1). 893–893.
2.
Tonkin‐Hill, Gerry, Anna K. Pöntinen, Jessica Calland, et al.. (2024). Detecting co-selection through excess linkage disequilibrium in bacterial genomes. NAR Genomics and Bioinformatics. 6(2). lqae061–lqae061.
3.
Mourkas, Evangelos, Megan De Ste Croix, Jay Lucidarme, et al.. (2024). High-throughput phenotype-to-genotype testing of meningococcal carriage and disease isolates detects genetic determinants of disease-relevant phenotypic traits. mBio. 15(12). e0305924–e0305924. 1 indexed citations
4.
Corrigan, Rebecca M., et al.. (2023). Loss of Pde1 function acts as an evolutionary gateway to penicillin resistance inStreptococcus pneumoniae. Proceedings of the National Academy of Sciences. 120(41). e2308029120–e2308029120. 5 indexed citations
5.
Woodall, Claire A., Ashley Hammond, David Cleary, et al.. (2023). Oral and gut microbial biomarkers of susceptibility to respiratory tract infection in adults: A feasibility study. Heliyon. 9(8). e18610–e18610. 4 indexed citations
6.
Mageiros, Leonardos, Edward Archer, Evangelos Mourkas, et al.. (2022). Spatiotemporal Investigation of Antibiotic Resistance in the Urban Water Cycle Influenced by Environmental and Anthropogenic Activity. Microbiology Spectrum. 10(5). e0247322–e0247322. 10 indexed citations
7.
Calland, Jessica, Evangelos Mourkas, Matthew D. Hitchings, et al.. (2022). Genetic diversity and variation in antimicrobial-resistance determinants of non-serotype 2 Streptococcus suis isolates from healthy pigs. Microbial Genomics. 8(11). 10 indexed citations
8.
Mourkas, Evangelos, Koji Yahara, Sion Bayliss, et al.. (2022). Host ecology regulates interspecies recombination in bacteria of the genus Campylobacter. eLife. 11. 24 indexed citations
9.
Mageiros, Leonardos, Guillaume Méric, Sion Bayliss, et al.. (2021). Author Correction: Genome evolution and the emergence of pathogenicity in avian Escherichia coli. Nature Communications. 12(1). 1934–1934. 6 indexed citations
10.
Mageiros, Leonardos, Guillaume Méric, Sion Bayliss, et al.. (2021). Genome evolution and the emergence of pathogenicity in avian Escherichia coli. Nature Communications. 12(1). 765–765. 83 indexed citations
11.
Pascoe, Ben, Francesca Schiaffino, Susan Murray, et al.. (2020). Genomic epidemiology of Campylobacter jejuni associated with asymptomatic pediatric infection in the Peruvian Amazon. PLoS neglected tropical diseases. 14(8). e0008533–e0008533. 20 indexed citations
12.
Bayliss, Sion, Harry A. Thorpe, Nicola M. Coyle, Samuel K. Sheppard, & Edward J. Feil. (2019). PIRATE: A fast and scalable pangenomics toolbox for clustering diverged orthologues in bacteria. GigaScience. 8(10). 155 indexed citations
13.
Arnold, Brian, Michael U. Gutmann, Yonatan H. Grad, et al.. (2018). Weak Epistasis May Drive Adaptation in Recombining Bacteria. Genetics. 208(3). 1247–1260. 37 indexed citations
14.
Thorpe, Harry A., Sion Bayliss, Samuel K. Sheppard, & Edward J. Feil. (2018). Piggy: a rapid, large-scale pan-genome analysis tool for intergenic regions in bacteria. GigaScience. 7(4). 1–11. 49 indexed citations
15.
Gupta, Srishti, David M. Bailey, Paul Wigley, et al.. (2017). Identification and initial characterisation of a protein involved in Campylobacter jejuni cell shape. Microbial Pathogenesis. 104. 202–211. 11 indexed citations
16.
Revez, Joana, Ben Pascoe, Yasmin Friedmann, et al.. (2016). Large Sequence Diversity within the Biosynthesis Locus and Common Biochemical Features of Campylobacter coli Lipooligosaccharides. Journal of Bacteriology. 198(20). 2829–2840. 9 indexed citations
17.
Torralbo, Alicia, C. Borge, Alberto Allepuz, et al.. (2014). Prevalence and risk factors of Campylobacter infection in broiler flocks from southern Spain. Preventive Veterinary Medicine. 114(2). 106–113. 41 indexed citations
18.
Jolley, Keith A., Carly M. Bliss, Julia S. Bennett, et al.. (2012). Ribosomal multilocus sequence typing: universal characterization of bacteria from domain to strain. Microbiology. 158(4). 1005–1015. 442 indexed citations breakdown →
19.
Sheppard, Samuel K., Noel McCarthy, Daniel Falush, & Martin Maiden. (2008). Convergence of Campylobacter Species: Implications for Bacterial Evolution. Science. 320(5873). 237–239. 187 indexed citations
20.
Forbes, Ken J., John F. Dallas, Fraser J. Gormley, et al.. (2007). CaMPS: The Campylobacter MLST project in Scotland. Zoonoses and Public Health. 54. 43–44. 1 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026