Kate McCarthy
- Epidemiology
- Endocrinology, Diabetes and Metabolism top 10%
- Molecular Medicine top 5%
- Infectious Diseases
- Surgery
- Co-authors
- David L. PatersonJackie SturtKathryn DennickMette Due‐ChristensenDavid LookeMinyon AventE. Geoffrey PlayfordMichael Whitby
- Topics
- Antibiotic Resistance in Bacteria (14 papers)Antibiotics Pharmacokinetics and Efficacy (13 papers)Antibiotic Use and Resistance (9 papers)
- Cited by
- Applied Microbiology and BiotechnologyMolecular MedicineEndocrinology, Diabetes and Metabolism
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEClinical Infectious Diseases
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
Kate McCarthy
52 papers receiving 604 citations
Peers
Comparison fields: 5 of 104
- Epidemiology 183
- Endocrinology, Diabetes and Metabolism 119
- Molecular Medicine 117
- Infectious Diseases 97
- Surgery 72
Countries citing papers authored by Kate McCarthy
This map shows the geographic impact of Kate McCarthy'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 Kate McCarthy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kate McCarthy more than expected).
Fields of papers citing papers by Kate McCarthy
This network shows the impact of papers produced by Kate McCarthy. 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 Kate McCarthy. The network helps show where Kate McCarthy may publish in the future.
Co-authorship network of co-authors of Kate McCarthy
This figure shows the co-authorship network connecting the top 25 collaborators of Kate McCarthy. A scholar is included among the top collaborators of Kate McCarthy 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 Kate McCarthy. Kate McCarthy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 13 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 6 | |
| 9 | 4 | |
| 10 | 20 | |
| 11 | 9 | |
| 12 | 4 | |
| 13 | 5 | |
| 14 | 46 | |
| 15 | 19 | |
| 16 | 14 | |
| 17 | 23 | |
| 18 | 5 | |
| 19 | 5 | |
| 20 | 111 |
About Kate McCarthy
Kate McCarthy is a scholar working on Applied Microbiology and Biotechnology, Molecular Medicine and Emergency Medical Services, having authored 54 papers that have together received 617 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (14 papers), Antibiotics Pharmacokinetics and Efficacy (13 papers) and Antibiotic Use and Resistance (9 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (64 citations), Molecular Medicine (117 citations) and Endocrinology, Diabetes and Metabolism (119 citations). Kate McCarthy has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include David L. Paterson, Jackie Sturt, Kathryn Dennick, Mette Due‐Christensen, David Looke, Minyon Avent, E. Geoffrey Playford, Michael Whitby, Amy V. Jennison and Timothy J. Kidd. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Clinical Infectious Diseases.
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.