C.L. Baylis
Impact in
- Endocrinology top 5%
- Escherichia coli research studies
- Vibrio bacteria research studies
- Biotechnology top 5%
- Listeria monocytogenes in Food Safety
Papers in
-
- Listeria monocytogenes in Food Safety 6
-
- Escherichia coli research studies 4
- Enterobacteriaceae and Cronobacter Research 2
- Vibrio bacteria research studies 1
- Co-authors
- S. MacPhee (4 shared papers)Roy Betts (4 shared papers)K. W. Martin (1 shared paper)T. J. Humphrey (1 shared paper)Mieke Uyttendaele (1 shared paper)Henk‐Jan Joosten (1 shared paper)Angela Davies (1 shared paper)C. de W. Blackburn (1 shared paper)
- Journals
- Journal of Applied Microbiology (3 papers)Letters in Applied Microbiology (2 papers)International Journal of Dairy Technology (1 paper)Accreditation and Quality Assurance (1 paper)International Journal of Food Microbiology (1 paper)
- Partner nations
- United KingdomAustralia
In The Last Decade
C.L. Baylis
12 papers receiving 415 citations
Peers
Comparison fields: 5 of 57
- Endocrinology 129
- Biotechnology 163
- Food Science 322
- Infectious Diseases 130
- Animal Science and Zoology 27
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-authors
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 | 2000 | 116 | |
| 2 | 2009 | 72 | |
| 3 | The Enterobacteriaceae and their significance to the food industry. | 2011 | 60 |
| 4 | 2004 | 51 | |
| 5 | 2000 | 40 | |
| 6 | 1996 | 31 | |
| 7 | 2000 | 30 | |
| 8 | 2008 | 26 | |
| 9 | 2006 | 9 | |
| 10 | 2009 | 2 | |
| 11 | 2016 | 1 | |
| 12 | 2003 | 1 |
About C.L. Baylis
C.L. Baylis is a scholar working on Biotechnology, Endocrinology, Food Science, Infectious Diseases and Small Animals, having authored 12 papers that have together received 439 indexed citations. Recurring topics across this work include Listeria monocytogenes in Food Safety (6 papers), Escherichia coli research studies (4 papers), Salmonella and Campylobacter epidemiology (3 papers), Enterobacteriaceae and Cronobacter Research (2 papers), Viral gastroenteritis research and epidemiology (2 papers), Diverse Music Education Insights (1 paper), Animal health and immunology (1 paper) and Vibrio bacteria research studies (1 paper). The work is most often cited by research in Endocrinology (129 citations), Biotechnology (163 citations), Food Science (322 citations), Infectious Diseases (130 citations) and Animal Science and Zoology (27 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, Henk‐Jan Joosten, Angela Davies, C. de W. Blackburn, Kathryn S. Lilley and Robert I. Griffiths. Their work appears in journals such as Journal of Applied Microbiology, Letters in Applied Microbiology, International Journal of Dairy Technology, Accreditation and Quality Assurance and International Journal of Food Microbiology.
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.