Danielle Leek
Impact in
- Clinical Biochemistry top 10%
- Bacterial Identification and Susceptibility Testing
-
- Antimicrobial Resistance in Staphylococcus
- Clostridium difficile and Clostridium perfringens research
Papers in
-
- Antimicrobial Resistance in Staphylococcus 7
- Clostridium difficile and Clostridium perfringens research 3
-
- Bacterial Identification and Susceptibility Testing 7
- Co-authors
- Sharon J. Peacock (9 shared papers)Julian Parkhill (8 shared papers)Beth Blane (9 shared papers)Kathy E. Raven (9 shared papers)Francesc Coll (3 shared papers)David Enoch (4 shared papers)Ewan M. Harrison (2 shared papers)Gwenan M. Knight (1 shared paper)
- Journals
- Journal of Clinical Microbiology (2 papers)Journal of Antimicrobial Chemotherapy (2 papers)Microbial Genomics (2 papers)mSphere (1 paper)The Lancet Microbe (1 paper)
- Partner nations
- United Kingdom
In The Last Decade
Danielle Leek
9 papers receiving 149 citations
Peers
Comparison fields: 5 of 30
- Clinical Biochemistry 62
- Infectious Diseases 90
- Molecular Medicine 17
- Endocrinology 10
- Microbiology 10
Countries citing papers authored by Danielle Leek
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 91 | |
| 2 | 2019 | 13 | |
| 3 | 2019 | 11 | |
| 4 | 2020 | 10 | |
| 5 | 2020 | 10 | |
| 6 | 2019 | 9 | |
| 7 | 2021 | 5 | |
| 8 | 2024 | 4 | |
| 9 | 2022 | 2 |
About Danielle Leek
Danielle Leek is a scholar working on Infectious Diseases, Clinical Biochemistry, Molecular Biology, Epidemiology and Public Health, Environmental and Occupational Health, having authored 9 papers that have together received 155 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), Genomics and Phylogenetic Studies (1 paper), Antibiotic Resistance in Bacteria (1 paper), Streptococcal Infections and Treatments (1 paper) and Mycobacterium research and diagnosis (1 paper). The work is most often cited by research in Clinical Biochemistry (62 citations), Infectious Diseases (90 citations), Molecular Medicine (17 citations), Endocrinology (10 citations) and Microbiology (10 citations). Danielle Leek has collaborated with scholars based in United Kingdom. Frequent co-authors include Sharon J. Peacock, Julian Parkhill, Beth Blane, Kathy E. Raven, Francesc Coll, David Enoch, Ewan M. Harrison, Gwenan M. Knight, Eugene Bragin and Nicholas M. Brown. Their work appears in journals such as Journal of Clinical Microbiology, Journal of Antimicrobial Chemotherapy, Microbial Genomics, mSphere and The Lancet Microbe.
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.