William W. Kay
- Endocrinology top 0.2%
- Vibrio bacteria research studies 26
- Microbiology top 0.5%
- Biotechnology top 0.5%
- Food Science top 0.5%
- Salmonella and Campylobacter epidemiology 26
- Immunology top 2%
- Aquaculture disease management and microbiota 31
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- Bacteriophages and microbial interactions 42
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- Bacterial Genetics and Biotechnology 26
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- Amino Acid Enzymes and Metabolism 15
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- Enzyme Structure and Function 12
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- Carbohydrate Chemistry and Synthesis 9
- Co-authors
- T J TrustS.Karen CollinsonDeanna L. GibsonE E IshiguroBarry M. PhippsAaron P. WhiteSharon C. ClouthierKarl‐Heinz Müller
- Journals
- Journal of Bacteriology (31 papers)Canadian Journal of Microbiology (16 papers)Infection and Immunity (8 papers)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
William W. Kay
139 papers receiving 5.1k citations
Peers
Comparison fields: 5 of 126
- Endocrinology 1.5k
- Microbiology 754
- Biotechnology 691
- Food Science 1.3k
- Immunology 1.4k
Countries citing papers authored by William W. Kay
This map shows the geographic impact of William W. Kay'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 William W. Kay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William W. Kay more than expected).
Fields of papers citing papers by William W. Kay
This network shows the impact of papers produced by William W. Kay. 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 William W. Kay. The network helps show where William W. Kay may publish in the future.
Co-authorship network
The 25 scholars most cited alongside William W. Kay, 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 | 13 | |
| 2 | 2007 | 16 | |
| 3 | 2006 | 29 | |
| 4 | 2005 | 72 | |
| 5 | 2004 | 78 | |
| 6 | 2003 | 13 | |
| 7 | 2003 | 14 | |
| 8 | 2001 | 42 | |
| 9 | 2000 | 191 | |
| 10 | 1999 | 99 | |
| 11 | 1998 | 71 | |
| 12 | 1997 | 9 | |
| 13 | 1996 | 34 | |
| 14 | 1996 | 28 | |
| 15 | 1992 | 19 | |
| 16 | 1991 | 37 | |
| 17 | Form and functions of the regular surface array (S-layer) of Aeromonas salmonicida. | 1991 | 38 |
| 18 | 1986 | 2 | |
| 19 | 1985 | 2 | |
| 20 | 1969 | 48 |
About William W. Kay
William W. Kay is a scholar working on Endocrinology, Biochemistry and Microbiology, having authored 140 papers that have together received 5.6k indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (42 papers), Aquaculture disease management and microbiota (31 papers), Salmonella and Campylobacter epidemiology (26 papers), Vibrio bacteria research studies (26 papers), Bacterial Genetics and Biotechnology (26 papers), Amino Acid Enzymes and Metabolism (15 papers), Enzyme Structure and Function (12 papers) and Carbohydrate Chemistry and Synthesis (9 papers). The work is most often cited by research in Endocrinology (1.5k citations), Microbiology (754 citations) and Biotechnology (691 citations). William W. Kay has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include T J Trust, S.Karen Collinson, Deanna L. Gibson, E E Ishiguro, Barry M. Phipps, Aaron P. White, Sharon C. Clouthier, Karl‐Heinz Müller, James L. Doran and Santosh Misra. Their work appears in journals such as Journal of Bacteriology, Canadian Journal of Microbiology, Infection and Immunity, Carbohydrate Research and Biochimica et Biophysica Acta (BBA) - Biomembranes.
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.