Ray Cursons
- Endocrinology top 0.5%
- Legionella and Acanthamoeba research 16
- Vibrio bacteria research studies 6
- Agronomy and Crop Science top 2%
- Milk Quality and Mastitis in Dairy Cows 8
- Microbiology top 2%
- Microbial infections and disease research 7
- Ophthalmology top 2%
- Ocular Infections and Treatments 3
- Molecular Medicine top 5%
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- Streptococcal Infections and Treatments 5
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- Probiotics and Fermented Foods 5
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- Mycobacterium research and diagnosis 4
- Co-authors
- Tim BrownElizabeth A. KeysTrevor GrayJames W. SleighNoel KaralusDesmond G. TillK.M. MoriartyP. C. Molan
- Journals
- Journal of Dairy Science (5 papers)Anaesthesia and Intensive Care (4 papers)Applied and Environmental Microbiology (3 papers)
- Partner nations
- New ZealandAustraliaUnited States
In The Last Decade
Ray Cursons
66 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 148
- Endocrinology 618
- Agronomy and Crop Science 393
- Microbiology 168
- Ophthalmology 223
- Molecular Medicine 74
Countries citing papers authored by Ray Cursons
This map shows the geographic impact of Ray Cursons'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 Ray Cursons with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ray Cursons more than expected).
Fields of papers citing papers by Ray Cursons
This network shows the impact of papers produced by Ray Cursons. 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 Ray Cursons. The network helps show where Ray Cursons may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ray Cursons, 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 | 2023 | 2 | |
| 2 | 2015 | 16 | |
| 3 | 2014 | 64 | |
| 4 | 2012 | 15 | |
| 5 | 2012 | 39 | |
| 6 | 2011 | 12 | |
| 7 | 2011 | 80 | |
| 8 | 2010 | 26 | |
| 9 | 2009 | 16 | |
| 10 | 2008 | 32 | |
| 11 | 2008 | 16 | |
| 12 | 2007 | 59 | |
| 13 | 2007 | 64 | |
| 14 | Effect of dairy cow breed on the metabolic adaptation to lactation | 2006 | 3 |
| 15 | 2003 | 34 | |
| 16 | 2001 | 47 | |
| 17 | 1999 | 76 | |
| 18 | A survey of virus infections in New Zealand, 1982-6. | 1988 | 1 |
| 19 | 1983 | 36 | |
| 20 | 1976 | 11 |
About Ray Cursons
Ray Cursons is a scholar working on Endocrinology, Microbiology and Agronomy and Crop Science, having authored 66 papers that have together received 2.1k indexed citations. Recurring topics across this work include Legionella and Acanthamoeba research (16 papers), Milk Quality and Mastitis in Dairy Cows (8 papers), Microbial infections and disease research (7 papers), Vibrio bacteria research studies (6 papers), Streptococcal Infections and Treatments (5 papers), Probiotics and Fermented Foods (5 papers), Mycobacterium research and diagnosis (4 papers) and Ocular Infections and Treatments (3 papers). The work is most often cited by research in Endocrinology (618 citations), Agronomy and Crop Science (393 citations) and Microbiology (168 citations). Ray Cursons has collaborated with scholars based in New Zealand, Australia and United States. Frequent co-authors include Tim Brown, Elizabeth A. Keys, Trevor Gray, James W. Sleigh, Noel Karalus, Desmond G. Till, K.M. Moriarty, P. C. Molan, Gregory M. Cook and John H. Williamson. Their work appears in journals such as Journal of Dairy Science, Anaesthesia and Intensive Care, Applied and Environmental Microbiology, New Zealand Journal of Marine and Freshwater Research and Infection and Immunity.
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.