Danielle Leek

3.0k citations
9 papers · 167 · h-index 6

Impact in

    • Bacterial Identification and Susceptibility Testing
    • Antimicrobial Resistance in Staphylococcus
    • Clostridium difficile and Clostridium perfringens research

Papers in

    • Bacterial Identification and Susceptibility Testing 7
    • Antimicrobial Resistance in Staphylococcus 7
    • Clostridium difficile and Clostridium perfringens research 3

Danielle Leek

9 papers receiving 161 citations

Peers

Danielle Leek
Comparison fields: 5 of 32
  • Clinical Biochemistry 64
  • Infectious Diseases 95
  • Molecular Medicine 20
  • Endocrinology 11
  • Microbiology 10
Replace Erika Ungvári with:
Erika Ungvári Hungary
Sarah A. Egan Ireland
Vesna Cvitković Špik Slovenia
Sabrina Di Gregorio Argentina
Jasmine Coppens Belgium
Maho Yokoyama United Kingdom
M.J. Ellington United Kingdom
Jérémie Violette France
Darius Gawlik Germany
Simon D. Pollett United States
Danielle Leek relative to Erika Ungvári Hungary Erika Ungvári's profile →
Citations per field
00.5×2×3×3.6×
Erika Ungvári · 1×
Citations per year

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-authors

The 19 scholars most cited alongside Danielle Leek, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Danielle Leek Line = papers co-authored together Danielle Leek links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2020101
2 201913
3 201912
4 202011
5 202010
6 20199
7 20215
8 20244
9 20222

About Danielle Leek

Danielle Leek is a scholar working on Clinical Biochemistry, Infectious Diseases, Molecular Medicine, Public Health, Environmental and Occupational Health and Epidemiology, having authored 9 papers that have together received 167 indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (7 papers), Bacterial Identification and Susceptibility Testing (7 papers), Clostridium difficile and Clostridium perfringens research (3 papers), Mycobacterium research and diagnosis (1 paper), Antibiotic Resistance in Bacteria (1 paper), Genomics and Phylogenetic Studies (1 paper) and Streptococcal Infections and Treatments (1 paper). The work is most often cited by research in Clinical Biochemistry (64 citations), Infectious Diseases (95 citations), Molecular Medicine (20 citations), Endocrinology (11 citations) and Microbiology (10 citations). Danielle Leek has collaborated with scholars based in United Kingdom. Frequent co-authors include Kathy E. Raven, Beth Blane, Sharon J. Peacock, Julian Parkhill, Francesc Coll, David Enoch, Gwenan M. Knight, Ewan M. Harrison, Eugene Bragin and Nicholas M. Brown. Their work appears in journals such as Journal of Clinical Microbiology, Journal of Antimicrobial Chemotherapy, Microbial Genomics, Scientific Reports and mSphere.

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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