Catherine Yates
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
- Endocrinology top 10%
- Escherichia coli research studies
Papers in
-
- Escherichia coli research studies 3
- Enterobacteriaceae and Cronobacter Research 2
- Vibrio bacteria research studies 1
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- Antibiotic Resistance in Bacteria 3
- Co-authors
- Tony Minson (1 shared paper)Colin M. Crump (1 shared paper)Sebastian G. B. Amyes (4 shared papers)Mark Woolhouse (3 shared papers)Deborah V. Hoyle (4 shared papers)Darren J. Shaw (2 shared papers)George J. Gunn (3 shared papers)S. G. B. Amyes (2 shared papers)
- Journals
- Journal of Antimicrobial Chemotherapy (2 papers)Veterinary Microbiology (1 paper)Journal of Applied Microbiology (1 paper)Age and Ageing (1 paper)Immunology (1 paper)
- Partner nations
- United KingdomHungaryTaiwan
In The Last Decade
Catherine Yates
11 papers receiving 346 citations
Peers
Comparison fields: 5 of 54
- Molecular Medicine 128
- Endocrinology 50
- Applied Microbiology and Biotechnology 14
- Pollution 72
- Epidemiology 102
Countries citing papers authored by Catherine Yates
This map shows the geographic impact of Catherine Yates'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 Catherine Yates with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Catherine Yates more than expected).
Fields of papers citing papers by Catherine Yates
This network shows the impact of papers produced by Catherine Yates. 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 Catherine Yates. The network helps show where Catherine Yates may publish in the future.
Co-authors
The 25 scholars most cited alongside Catherine Yates, 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 | 2007 | 135 | |
| 2 | 2004 | 41 | |
| 3 | 2006 | 40 | |
| 4 | 2006 | 39 | |
| 5 | 2005 | 33 | |
| 6 | 2005 | 30 | |
| 7 | 2008 | 10 | |
| 8 | 2001 | 9 | |
| 9 | 2021 | 9 | |
| 10 | 2007 | 9 | |
| 11 | 2006 | 2 |
About Catherine Yates
Catherine Yates is a scholar working on Endocrinology, Molecular Medicine, Infectious Diseases, Epidemiology and Critical Care and Intensive Care Medicine, having authored 11 papers that have together received 357 indexed citations. Recurring topics across this work include Escherichia coli research studies (3 papers), Antibiotic Resistance in Bacteria (3 papers), Enterobacteriaceae and Cronobacter Research (2 papers), Herpesvirus Infections and Treatments (2 papers), Intensive Care Unit Cognitive Disorders (1 paper), Toxin Mechanisms and Immunotoxins (1 paper), Vibrio bacteria research studies (1 paper) and Microbial infections and disease research (1 paper). The work is most often cited by research in Molecular Medicine (128 citations), Endocrinology (50 citations), Applied Microbiology and Biotechnology (14 citations), Pollution (72 citations) and Epidemiology (102 citations). Catherine Yates has collaborated with scholars based in United Kingdom, Hungary and Taiwan. Frequent co-authors include Tony Minson, Colin M. Crump, Sebastian G. B. Amyes, Mark Woolhouse, Deborah V. Hoyle, Darren J. Shaw, George J. Gunn, S. G. B. Amyes, Andrew J. Roe and Orsolya Dobay. Their work appears in journals such as Journal of Antimicrobial Chemotherapy, Veterinary Microbiology, Journal of Applied Microbiology, Age and Ageing and Immunology.
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.