Danielle Leek

2.9k total citations
9 papers, 142 citations indexed

About

Danielle Leek is a scholar working on Infectious Diseases, Clinical Biochemistry and Molecular Medicine. According to data from OpenAlex, Danielle Leek has authored 9 papers receiving a total of 142 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Infectious Diseases, 8 papers in Clinical Biochemistry and 3 papers in Molecular Medicine. Recurrent topics in Danielle Leek's work include Bacterial Identification and Susceptibility Testing (8 papers), Antimicrobial Resistance in Staphylococcus (8 papers) and Antibiotic Resistance in Bacteria (3 papers). Danielle Leek is often cited by papers focused on Bacterial Identification and Susceptibility Testing (8 papers), Antimicrobial Resistance in Staphylococcus (8 papers) and Antibiotic Resistance in Bacteria (3 papers). Danielle Leek collaborates with scholars based in United Kingdom. Danielle Leek's co-authors include Beth Blane, Kathy E. Raven, Sharon J. Peacock, Julian Parkhill, Nicholas M. Brown, Francesc Coll, David Enoch, Ewan M. Harrison, Gwenan M. Knight and Eugene Bragin and has published in prestigious journals such as Scientific Reports, Journal of Clinical Microbiology and Journal of Antimicrobial Chemotherapy.

In The Last Decade

Danielle Leek

9 papers receiving 136 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Danielle Leek United Kingdom 6 95 72 56 27 22 9 142
Sarah A. Egan Ireland 6 148 1.6× 82 1.1× 67 1.2× 31 1.1× 41 1.9× 8 211
Erika Ungvári Hungary 6 141 1.5× 89 1.2× 104 1.9× 18 0.7× 34 1.5× 10 179
Maho Yokoyama United Kingdom 5 100 1.1× 49 0.7× 102 1.8× 23 0.9× 39 1.8× 8 172
Jasmine Coppens Belgium 8 126 1.3× 27 0.4× 76 1.4× 37 1.4× 24 1.1× 15 202
Lyndsey O. Hudson United Kingdom 8 165 1.7× 81 1.1× 91 1.6× 32 1.2× 18 0.8× 8 213
Gabriel Auger France 7 133 1.4× 86 1.2× 46 0.8× 24 0.9× 77 3.5× 11 167
Luis Jáuregui-Peredo United States 3 67 0.7× 33 0.5× 40 0.7× 16 0.6× 27 1.2× 3 132
Vatsala Rangachar Srinivasa United States 7 59 0.6× 33 0.5× 36 0.6× 24 0.9× 61 2.8× 18 141
Megan R. Earls Ireland 8 219 2.3× 117 1.6× 127 2.3× 34 1.3× 44 2.0× 10 254
Joaquim Viñes Spain 7 49 0.5× 32 0.4× 75 1.3× 17 0.6× 33 1.5× 13 143

Countries citing papers authored by Danielle Leek

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Leek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danielle Leek

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

All Works

9 of 9 papers shown
1.
Blane, Beth, Kathy E. Raven, Nicholas M. Brown, et al.. (2024). Evaluating the impact of genomic epidemiology of methicillin-resistant Staphylococcus aureus (MRSA) on hospital infection prevention and control decisions. Microbial Genomics. 10(4). 3 indexed citations
2.
Raven, Kathy E., Eugene Bragin, Beth Blane, et al.. (2022). Large-Scale Evaluation of a Rapid Fully Automated Analysis Platform to Detect and Refute Outbreaks Based on MRSA Genome Comparisons. mSphere. 7(6). e0028322–e0028322. 1 indexed citations
3.
Raven, Kathy E., Sophia T. Girgis, Beth Blane, et al.. (2021). A common protocol for the simultaneous processing of multiple clinically relevant bacterial species for whole genome sequencing. Scientific Reports. 11(1). 193–193. 4 indexed citations
4.
Kumar, Narender, Kathy E. Raven, Beth Blane, et al.. (2020). Evaluation of a fully automated bioinformatics tool to predict antibiotic resistance from MRSA genomes. Journal of Antimicrobial Chemotherapy. 75(5). 1117–1122. 9 indexed citations
5.
Coll, Francesc, Kathy E. Raven, Gwenan M. Knight, et al.. (2020). Definition of a genetic relatedness cutoff to exclude recent transmission of meticillin-resistant Staphylococcus aureus: a genomic epidemiology analysis. The Lancet Microbe. 1(8). e328–e335. 84 indexed citations
6.
Raven, Kathy E., Beth Blane, Narender Kumar, et al.. (2020). Defining metrics for whole-genome sequence analysis of MRSA in clinical practice. Microbial Genomics. 6(4). 10 indexed citations
7.
Brown, Nicholas M., Beth Blane, Kathy E. Raven, et al.. (2019). Pilot Evaluation of a Fully Automated Bioinformatics System for Analysis of Methicillin-Resistant Staphylococcus aureus Genomes and Detection of Outbreaks. Journal of Clinical Microbiology. 57(11). 10 indexed citations
8.
Raven, Kathy E., Beth Blane, Danielle Leek, et al.. (2019). Methodology for Whole-Genome Sequencing of Methicillin-Resistant Staphylococcus aureus Isolates in a Routine Hospital Microbiology Laboratory. Journal of Clinical Microbiology. 57(6). 13 indexed citations
9.
Blane, Beth, Kathy E. Raven, Danielle Leek, et al.. (2019). Rapid sequencing of MRSA direct from clinical plates in a routine microbiology laboratory. Journal of Antimicrobial Chemotherapy. 74(8). 2153–2156. 8 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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2026