Kate Gregory
Impact in
- Nephrology top 2%
- Gout, Hyperuricemia, Uric Acid
- Agronomy and Crop Science top 5%
- Reproductive Physiology in Livestock
- Livestock Management and Performance Improvement
Papers in
-
- Gout, Hyperuricemia, Uric Acid 5
- Surgery 3
- Case Reports on Hematomas 1
- Muscle and Compartmental Disorders 1
- Spinal Fractures and Fixation Techniques 1
- Co-authors
- W. R. Harvey (1 shared paper)L. A. Swiger (1 shared paper)Nicola Dalbeth (5 shared papers)Fiona McQueen (5 shared papers)Barnaby Clark (4 shared papers)Anthony Doyle (2 shared papers)G. Gamble (1 shared paper)Elizabeth Robinson (1 shared paper)
- Journals
- Journal of Spine Surgery (1 paper)Biometrics (1 paper)Annals of the Rheumatic Diseases (1 paper)Lara D. Veeken (1 paper)Arthritis Care & Research (1 paper)
- Partner nations
- New ZealandUnited Kingdom
In The Last Decade
Kate Gregory
6 papers receiving 566 citations
Kate Gregory's Hit Papers
Peers
Comparison fields: 5 of 82
- Nephrology 300
- Agronomy and Crop Science 144
- Rheumatology 200
- Animal Science and Zoology 86
- Genetics 184
Countries citing papers authored by Kate Gregory
This map shows the geographic impact of Kate Gregory'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 Kate Gregory with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kate Gregory more than expected).
Fields of papers citing papers by Kate Gregory
This network shows the impact of papers produced by Kate Gregory. 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 Kate Gregory. The network helps show where Kate Gregory may publish in the future.
Co-authors
The 10 scholars most cited alongside Kate Gregory, 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 | The Variance of Intraclass Correlation Involving Groups with One Observation Hit paper breakdown → | 1964 | 285 |
| 2 | 2008 | 148 | |
| 3 | 2007 | 95 | |
| 4 | 2007 | 49 | |
| 5 | The Health Assessment Questionnaire Disability Index is a valid measure of physical function in gout. | 2009 | 27 |
| 6 | 2006 | 1 | |
| 7 | 2024 | 0 |
About Kate Gregory
Kate Gregory is a scholar working on Nephrology, Surgery, Rheumatology, Small Animals and Molecular Biology, having authored 7 papers that have together received 605 indexed citations. Recurring topics across this work include Gout, Hyperuricemia, Uric Acid (5 papers), Musculoskeletal synovial abnormalities and treatments (2 papers), Spine and Intervertebral Disc Pathology (1 paper), Banana Cultivation and Research (1 paper), Case Reports on Hematomas (1 paper), Muscle and Compartmental Disorders (1 paper), Spinal Fractures and Fixation Techniques (1 paper) and Genetics and Plant Breeding (1 paper). The work is most often cited by research in Nephrology (300 citations), Agronomy and Crop Science (144 citations), Rheumatology (200 citations), Animal Science and Zoology (86 citations) and Genetics (184 citations). Kate Gregory has collaborated with scholars based in New Zealand and United Kingdom. Frequent co-authors include W. R. Harvey, L. A. Swiger, Nicola Dalbeth, Fiona McQueen, Barnaby Clark, Anthony Doyle, G. Gamble, Elizabeth Robinson, Gregory D. Gamble and William J. Taylor. Their work appears in journals such as Journal of Spine Surgery, Biometrics, Annals of the Rheumatic Diseases, Lara D. Veeken and Arthritis Care & Research.
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.