Kate McCarthy

52 papers receiving 604 citations

Peers

Kate McCarthy
Comparison fields: 5 of 104
  • Applied Microbiology and Biotechnology 64
  • Molecular Medicine 117
  • Endocrinology, Diabetes and Metabolism 119
  • Clinical Biochemistry 46
  • Nephrology 47
Replace İ̇lker İnanç Balkan with:
İ̇lker İnanç Balkan Türkiye
Lisa Steele United States
Myrto Eleni Flokas United States
Periklis Panagopoulos Greece
Nesrine Rizk Lebanon
Semra Çalangu Türkiye
Despοina Gkentzi Greece
Le‐Yin Hsu Taiwan
Elizabeth Prentice United States
Marianna Menozzi Italy
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Citations per field
00.5×3.1×
İ̇lker İnanç Balkan · 1×
Citations per year

Countries citing papers authored by Kate McCarthy

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside Kate McCarthy, 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 Kate McCarthy Line = papers co-authored together Kate McCarthy links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015111
2 200770
3 202046
4 201738
5 201530
6 201629
7 201723
8 202220
9 201919
10 202318
11 201716
12 201814
13 200814
14 202413
15 201512
16 20229
17 20019
18 20188
19 20167
20 20207

About Kate McCarthy

Kate McCarthy is a scholar working on Molecular Medicine, Pharmacology, Epidemiology, Public Health, Environmental and Occupational Health and Applied Microbiology and Biotechnology, 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), Antibiotic Use and Resistance (9 papers), Central Venous Catheters and Hemodialysis (8 papers), Bacterial Identification and Susceptibility Testing (7 papers), Bacterial biofilms and quorum sensing (4 papers), Healthcare Policy and Management (3 papers) and Health Systems, Economic Evaluations, Quality of Life (3 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (64 citations), Molecular Medicine (117 citations), Endocrinology, Diabetes and Metabolism (119 citations), Clinical Biochemistry (46 citations) and Nephrology (47 citations). Kate McCarthy has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include David L. Paterson, Kathryn Dennick, Jackie Sturt, Mette Due‐Christensen, David Looke, Minyon Avent, Michael Whitby, E. Geoffrey Playford, Amy V. Jennison and Timothy J. Kidd. Their work appears in journals such as European Journal of Clinical Microbiology & Infectious Diseases, Journal of Medical Microbiology, Journal of Infection, Clinical Infectious Diseases and Psycho-Oncology.

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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