Leanne Sait
Impact in
- Endocrinology top 10%
- Vibrio bacteria research studies
- Food Science top 5%
- Salmonella and Campylobacter epidemiology
Papers in
-
- Salmonella and Campylobacter epidemiology 7
-
- Clostridium difficile and Clostridium perfringens research 2
- Viral gastroenteritis research and epidemiology 2
- Co-authors
- Richard A. Strugnell (3 shared papers)Peter H. Janssen (2 shared papers)Maja Galić (2 shared papers)Tristan A. Cogan (4 shared papers)Lisa Williams (3 shared papers)T. J. Humphrey (3 shared papers)F. Jørgensen (2 shared papers)Odilia Wijburg (1 shared paper)
- Journals
- PLoS ONE (1 paper)Microbiology (1 paper)International Immunology (1 paper)Veterinary Immunology and Immunopathology (1 paper)mBio (1 paper)
- Partner nations
- United KingdomAustraliaGermany
In The Last Decade
Leanne Sait
10 papers receiving 418 citations
Peers
Comparison fields: 5 of 68
- Endocrinology 61
- Food Science 209
- Infectious Diseases 135
- Animal Science and Zoology 77
- Small Animals 28
Countries citing papers authored by Leanne Sait
This map shows the geographic impact of Leanne Sait'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 Leanne Sait with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leanne Sait more than expected).
Fields of papers citing papers by Leanne Sait
This network shows the impact of papers produced by Leanne Sait. 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 Leanne Sait. The network helps show where Leanne Sait may publish in the future.
Co-authors
The 25 scholars most cited alongside Leanne Sait, 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 | 2003 | 89 | |
| 2 | 2007 | 69 | |
| 3 | 2013 | 53 | |
| 4 | 2010 | 45 | |
| 5 | 2011 | 40 | |
| 6 | 2012 | 37 | |
| 7 | 2013 | 37 | |
| 8 | 2013 | 25 | |
| 9 | 2009 | 16 | |
| 10 | 2012 | 16 |
About Leanne Sait
Leanne Sait is a scholar working on Food Science, Infectious Diseases, Endocrinology, Animal Science and Zoology and Nutrition and Dietetics, having authored 10 papers that have together received 427 indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (7 papers), Animal Nutrition and Physiology (3 papers), Aquaculture disease management and microbiota (2 papers), Escherichia coli research studies (2 papers), Clostridium difficile and Clostridium perfringens research (2 papers), Viral gastroenteritis research and epidemiology (2 papers), Trace Elements in Health (2 papers) and Vibrio bacteria research studies (2 papers). The work is most often cited by research in Endocrinology (61 citations), Food Science (209 citations), Infectious Diseases (135 citations), Animal Science and Zoology (77 citations) and Small Animals (28 citations). Leanne Sait has collaborated with scholars based in United Kingdom, Australia and Germany. Frequent co-authors include Richard A. Strugnell, Peter H. Janssen, Maja Galić, Tristan A. Cogan, Lisa Williams, T. J. Humphrey, F. Jørgensen, Odilia Wijburg, Dimitri A. Diavatopoulos and Jason D. Price. Their work appears in journals such as PLoS ONE, Microbiology, International Immunology, Veterinary Immunology and Immunopathology and mBio.
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.