C.L. Baylis
- Endocrinology top 5%
- Escherichia coli research studies 3
- Biotechnology top 5%
- Listeria monocytogenes in Food Safety 7
- Food Science top 5%
- Salmonella and Campylobacter epidemiology 3
- Pesticide Residue Analysis and Safety 1
- Infectious Diseases top 10%
- Viral gastroenteritis research and epidemiology 2
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- Diverse Music Education Insights 1
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- Bacterial Identification and Susceptibility Testing 1
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- Musicians’ Health and Performance 1
- Co-authors
- S. MacPheeRoy BettsK. W. MartinT. J. HumphreyMieke UyttendaeleAngela DaviesHenk‐Jan JoostenC. de W. Blackburn
- Journals
- Journal of Applied Microbiology (3 papers)Letters in Applied Microbiology (2 papers)International Journal of Dairy Technology (1 paper)
- Partner nations
- United KingdomAustralia
In The Last Decade
C.L. Baylis
10 papers receiving 365 citations
Peers
Comparison fields: 5 of 55
- Endocrinology 121
- Biotechnology 158
- Food Science 301
- Infectious Diseases 124
- Animal Science and Zoology 26
Countries citing papers authored by C.L. Baylis
This map shows the geographic impact of C.L. Baylis'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 C.L. Baylis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C.L. Baylis more than expected).
Fields of papers citing papers by C.L. Baylis
This network shows the impact of papers produced by C.L. Baylis. 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 C.L. Baylis. The network helps show where C.L. Baylis may publish in the future.
Co-authorship network
The 12 scholars most cited alongside C.L. Baylis, 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 | 2016 | 1 | |
| 2 | The Enterobacteriaceae and their significance to the food industry. | 2011 | 58 |
| 3 | 2009 | 63 | |
| 4 | 2009 | 2 | |
| 5 | 2008 | 23 | |
| 6 | 2004 | 47 | |
| 7 | 2000 | 37 | |
| 8 | 2000 | 106 | |
| 9 | 2000 | 20 | |
| 10 | 1996 | 29 |
About C.L. Baylis
C.L. Baylis is a scholar working on Endocrinology, Biotechnology, Music, Food Science and Molecular Medicine, having authored 10 papers that have together received 386 indexed citations. Recurring topics across this work include Listeria monocytogenes in Food Safety (7 papers), Salmonella and Campylobacter epidemiology (3 papers), Escherichia coli research studies (3 papers), Viral gastroenteritis research and epidemiology (2 papers), Diverse Music Education Insights (1 paper), Bacterial Identification and Susceptibility Testing (1 paper), Pesticide Residue Analysis and Safety (1 paper) and Musicians’ Health and Performance (1 paper). The work is most often cited by research in Endocrinology (121 citations), Biotechnology (158 citations), Food Science (301 citations), Infectious Diseases (124 citations) and Animal Science and Zoology (26 citations). C.L. Baylis has collaborated with scholars based in United Kingdom and Australia. Frequent co-authors include S. MacPhee, Roy Betts, K. W. Martin, T. J. Humphrey, Mieke Uyttendaele, Angela Davies, Henk‐Jan Joosten, C. de W. Blackburn, Robert I. Griffiths and Kathryn S. Lilley. Their work appears in journals such as Journal of Applied Microbiology, Letters in Applied Microbiology, International Journal of Dairy Technology, International Journal of Food Microbiology and Accreditation and Quality Assurance.
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.