Sarah Oakley

3.4k total citations
31 papers, 1.2k citations indexed

About

Sarah Oakley is a scholar working on Epidemiology, Infectious Diseases and Clinical Biochemistry. According to data from OpenAlex, Sarah Oakley has authored 31 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Epidemiology, 8 papers in Infectious Diseases and 8 papers in Clinical Biochemistry. Recurrent topics in Sarah Oakley's work include Antibiotic Resistance in Bacteria (8 papers), Bacterial Identification and Susceptibility Testing (8 papers) and Orthopedic Infections and Treatments (6 papers). Sarah Oakley is often cited by papers focused on Antibiotic Resistance in Bacteria (8 papers), Bacterial Identification and Susceptibility Testing (8 papers) and Orthopedic Infections and Treatments (6 papers). Sarah Oakley collaborates with scholars based in United Kingdom, France and Maldives. Sarah Oakley's co-authors include Derrick W. Crook, Lily O’Connor, Mark H. Wilcox, John Finney, Tim Peto, David W. Eyre, D. Nowell, Martin McNally, Kerrie Davies and M.W.D. Wren and has published in prestigious journals such as Nature Communications, ACS Nano and Clinical Infectious Diseases.

In The Last Decade

Sarah Oakley

27 papers receiving 1.1k citations

Peers

Sarah Oakley
P. L. C. Petit Netherlands
Arthur J. Morris New Zealand
Nuran Salman Türkiye
P. L. C. Petit Netherlands
Sarah Oakley
Citations per year, relative to Sarah Oakley Sarah Oakley (= 1×) peers P. L. C. Petit

Countries citing papers authored by Sarah Oakley

Since Specialization
Citations

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

Fields of papers citing papers by Sarah Oakley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarah Oakley

This figure shows the co-authorship network connecting the top 25 collaborators of Sarah Oakley. A scholar is included among the top collaborators of Sarah Oakley 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 Sarah Oakley. Sarah Oakley 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
2.
Turner, Piers, Conor Feehily, Stelios Chatzimichail, et al.. (2025). Ribosome phenotypes for rapid classification of antibiotic-susceptible and resistant strains of Escherichia coli. Communications Biology. 8(1). 319–319. 3 indexed citations
3.
Lipworth, Samuel, Kevin Chau, Sarah Oakley, et al.. (2025). Estimating the association of antimicrobial resistance genes with minimum inhibitory concentration in Escherichia coli: an observational study. The Lancet Microbe. 6(11). 101183–101183.
4.
Lipworth, Samuel, Liam P. Shaw, Karina-Doris Vihta, et al.. (2024). The plasmidome associated with Gram-negative bloodstream infections: A large-scale observational study using complete plasmid assemblies. Nature Communications. 15(1). 1612–1612. 8 indexed citations
5.
Chatzimichail, Stelios, Piers Turner, Conor Feehily, et al.. (2024). Rapid identification of bacterial isolates using microfluidic adaptive channels and multiplexed fluorescence microscopy. Lab on a Chip. 24(20). 4843–4858. 7 indexed citations
6.
Feehily, Conor, Piers Turner, Stelios Chatzimichail, et al.. (2024). Infection Inspection: using the power of citizen science for image-based prediction of antibiotic resistance in Escherichia coli treated with ciprofloxacin. Scientific Reports. 14(1). 19543–19543. 1 indexed citations
7.
Turner, Piers, Conor Feehily, Monique Andersson, et al.. (2023). Deep learning and single-cell phenotyping for rapid antimicrobial susceptibility detection in Escherichia coli. Communications Biology. 6(1). 1164–1164. 25 indexed citations
8.
Ferguson, Jamie, A Ramsden, Lucinda Barrett, et al.. (2023). P14 Surgical source control and colistin therapy for the management of osteomyelitis due to Pseudomonas aeruginosa with difficult-to-treat resistance. JAC-Antimicrobial Resistance. 5(Supplement_2).
9.
Lipworth, Samuel, Kevin Chau, Manal AbuOun, et al.. (2023). Enterobacterales plasmid sharing amongst human bloodstream infections, livestock, wastewater, and waterway niches in Oxfordshire, UK. eLife. 12. 17 indexed citations
10.
Sanderson, Nicholas D., Camille Kolenda, James Kavanagh, et al.. (2022). Clinical Metagenomic Sequencing for Species Identification and Antimicrobial Resistance Prediction in Orthopedic Device Infection. Journal of Clinical Microbiology. 60(4). e0215621–e0215621. 23 indexed citations
11.
Lipworth, Samuel, Karina-Doris Vihta, Kevin Chau, et al.. (2021). Ten Years of Population-Level Genomic Escherichia coli and Klebsiella pneumoniae Serotype Surveillance Informs Vaccine Development for Invasive Infections. Clinical Infectious Diseases. 73(12). 2276–2282. 16 indexed citations
12.
Ordóñez-Mena, José M, Thomas Fanshawe, Dona Foster, et al.. (2021). Frequencies and patterns of microbiology test requests from primary care in Oxfordshire, UK, 2008–2018: a retrospective cohort study of electronic health records to inform point-of-care testing. BMJ Open. 11(11). e048527–e048527. 2 indexed citations
13.
Lumley, Sheila, Emily A. Lees, Sarah Oakley, et al.. (2021). Changes in paediatric respiratory infections at a UK teaching hospital 2016–2021; impact of the SARS-CoV-2 pandemic. Journal of Infection. 84(1). 40–47. 41 indexed citations
14.
Lipworth, Samuel, Karina-Doris Vihta, Kevin Chau, et al.. (2021). Ten-year longitudinal molecular epidemiology study of Escherichia coli and Klebsiella species bloodstream infections in Oxfordshire, UK. Genome Medicine. 13(1). 144–144. 38 indexed citations
15.
Kerr, Richard, et al.. (2020). Microbial aetiology of brain abscess in a UK cohort: Prominent role of Streptococcus intermedius. Journal of Infection. 80(6). 623–629. 39 indexed citations
16.
Sanderson, Nicholas D., Dona Foster, Jeremy Swann, et al.. (2018). Real-time analysis of nanopore-based metagenomic sequencing from infected orthopaedic devices. BMC Genomics. 19(1). 714–714. 92 indexed citations
17.
Anson, Luke, Kevin Chau, Nicholas D. Sanderson, et al.. (2018). DNA extraction from primary liquid blood cultures for bloodstream infection diagnosis using whole genome sequencing. Journal of Medical Microbiology. 67(3). 347–357. 23 indexed citations
18.
Street, Teresa, Nicholas D. Sanderson, Bridget L. Atkins, et al.. (2017). Molecular Diagnosis of Orthopedic-Device-Related Infection Directly from Sonication Fluid by Metagenomic Sequencing. Journal of Clinical Microbiology. 55(8). 2334–2347. 128 indexed citations
19.
Walker, A. Sarah, David W. Eyre, David Wyllie, et al.. (2013). Relationship Between Bacterial Strain Type, Host Biomarkers, and Mortality in Clostridium difficile Infection. Clinical Infectious Diseases. 56(11). 1589–1600. 173 indexed citations
20.
Schlackow, Iryna, A. Sarah Walker, Kate E. Dingle, et al.. (2012). Surveillance of Infection Severity: A Registry Study of Laboratory Diagnosed Clostridium difficile. PLoS Medicine. 9(7). e1001279–e1001279. 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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