Kaye Evans
Impact in
- Infectious Diseases top 10%
- Antimicrobial Resistance in Staphylococcus
- Tuberculosis Research and Epidemiology
Papers in
-
- Antimicrobial Resistance in Staphylococcus 7
- Infection Control in Healthcare 3
- Tuberculosis Research and Epidemiology 1
-
- Urinary Tract Infections Management 3
- Mycobacterium research and diagnosis 2
- Co-authors
- Ellena M. Peterson (13 shared papers)Luis M. de la Maza (3 shared papers)Susan S. Huang (11 shared papers)Courtney R. Murphy (3 shared papers)Mary K. Hayden (2 shared papers)Jennifer S. McDanel (1 shared paper)Diane S. Kim (1 shared paper)Daniel J. Diekema (1 shared paper)
- Journals
- Infection Control and Hospital Epidemiology (5 papers)Journal of Clinical Microbiology (3 papers)Open Forum Infectious Diseases (3 papers)The Journal of Business (1 paper)Antimicrobial Agents and Chemotherapy (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Kaye Evans
15 papers receiving 267 citations
Peers
Comparison fields: 5 of 51
- Infectious Diseases 200
- Applied Microbiology and Biotechnology 14
- Clinical Biochemistry 46
- Molecular Medicine 25
- Epidemiology 124
Countries citing papers authored by Kaye Evans
This map shows the geographic impact of Kaye Evans'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 Kaye Evans with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaye Evans more than expected).
Fields of papers citing papers by Kaye Evans
This network shows the impact of papers produced by Kaye Evans. 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 Kaye Evans. The network helps show where Kaye Evans may publish in the future.
Co-authors
The 25 scholars most cited alongside Kaye Evans, 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 | 1992 | 96 | |
| 2 | 2012 | 63 | |
| 3 | 2012 | 40 | |
| 4 | 2016 | 32 | |
| 5 | 2013 | 19 | |
| 6 | 2016 | 5 | |
| 7 | 2016 | 4 | |
| 8 | 1986 | 4 | |
| 9 | 2012 | 3 | |
| 10 | 2020 | 3 | |
| 11 | 2021 | 2 | |
| 12 | 1986 | 2 | |
| 13 | 2020 | 1 | |
| 14 | 2022 | 1 | |
| 15 | 1983 | 1 | |
| 16 | 2025 | 0 |
About Kaye Evans
Kaye Evans is a scholar working on Infectious Diseases, Epidemiology, Clinical Biochemistry, Molecular Medicine and Surgery, having authored 16 papers that have together received 276 indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (7 papers), Bacterial Identification and Susceptibility Testing (5 papers), Infection Control in Healthcare (3 papers), Urinary Tract Infections Management (3 papers), Antibiotic Resistance in Bacteria (3 papers), Mycobacterium research and diagnosis (2 papers), Infection Control and Ventilation (1 paper) and Tuberculosis Research and Epidemiology (1 paper). The work is most often cited by research in Infectious Diseases (200 citations), Applied Microbiology and Biotechnology (14 citations), Clinical Biochemistry (46 citations), Molecular Medicine (25 citations) and Epidemiology (124 citations). Kaye Evans has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Ellena M. Peterson, Luis M. de la Maza, Susan S. Huang, Courtney R. Murphy, Mary K. Hayden, Jennifer S. McDanel, Diane S. Kim, Daniel J. Diekema, Matthew D. Whealon and Hildy Meyers. Their work appears in journals such as Infection Control and Hospital Epidemiology, Journal of Clinical Microbiology, Open Forum Infectious Diseases, The Journal of Business and Antimicrobial Agents and Chemotherapy.
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.