Kate Gregory

749 total citations · 1 hit paper
7 papers, 605 citations indexed

About

Kate Gregory is a scholar working on Nephrology, Surgery and Rheumatology. According to data from OpenAlex, Kate Gregory has authored 7 papers receiving a total of 605 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Nephrology, 3 papers in Surgery and 3 papers in Rheumatology. Recurrent topics in Kate Gregory's work include Gout, Hyperuricemia, Uric Acid (5 papers), Musculoskeletal synovial abnormalities and treatments (2 papers) and Sensory Analysis and Statistical Methods (1 paper). Kate Gregory is often cited by papers focused on Gout, Hyperuricemia, Uric Acid (5 papers), Musculoskeletal synovial abnormalities and treatments (2 papers) and Sensory Analysis and Statistical Methods (1 paper). Kate Gregory collaborates with scholars based in New Zealand and United Kingdom. Kate Gregory's co-authors include L. A. Swiger, W. R. Harvey, Nicola Dalbeth, Fiona McQueen, Barnaby Clark, Anthony Doyle, G. Gamble, Elizabeth Robinson, Gregory D. Gamble and William J. Taylor and has published in prestigious journals such as Biometrics, Annals of the Rheumatic Diseases and Lara D. Veeken.

In The Last Decade

Kate Gregory

6 papers receiving 566 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The Variance of Intraclass Correlation Involving Groups with One Observation

1964 285 citations L. A. Swiger, W. R. Harvey et al. Biometrics profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Kate Gregory New Zealand	5	300	200	187	184	144	7	605
Maria Augusta Alonso Brazil	12	32 0.1×	59 0.3×	115 0.6×	112 0.6×	143 1.0×	61	611
E. Koskinen Finland	18	8 0.0×	99 0.5×	111 0.6×	120 0.7×	314 2.2×	56	854
W.M. Seymour United States	12	41 0.1×	26 0.1×	60 0.3×	212 1.2×	431 3.0×	19	706
A. W. Fetter United States	12	17 0.1×	114 0.6×	46 0.2×	31 0.2×	36 0.3×	22	401
Cristina Saro Spain	16	35 0.1×	15 0.1×	117 0.6×	264 1.4×	414 2.9×	50	760
U. Schröder Germany	6	16 0.1×	31 0.2×	26 0.1×	196 1.1×	287 2.0×	10	432
D. A. Whitaker United Kingdom	14	9 0.0×	225 1.1×	306 1.6×	355 1.9×	494 3.4×	30	987
A. P. Knight United States	7	37 0.1×	13 0.1×	26 0.1×	58 0.3×	67 0.5×	15	278
R. Petzoldt Germany	15	17 0.1×	20 0.1×	135 0.7×	183 1.0×	116 0.8×	61	806
John B. Tasker United States	13	28 0.1×	9 0.0×	85 0.5×	40 0.2×	42 0.3×	28	588

Countries citing papers authored by Kate Gregory

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Kate Gregory

This figure shows the co-authorship network connecting the top 25 collaborators of Kate Gregory. A scholar is included among the top collaborators of Kate Gregory based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kate Gregory. Kate Gregory is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Gregory, Kate, et al.. (2024). ‘The Stegosaurus Appearance’ on ultrasound to assist in identifying the correct spinal level for primary lumbar spinal surgery. Journal of Spine Surgery. 10(4). 680–686.

2.

Taylor, William J., et al.. (2009). The Health Assessment Questionnaire Disability Index is a valid measure of physical function in gout.. PubMed. 26(4). 620–6. 27 indexed citations

3.

Dalbeth, Nicola, Barnaby Clark, Kate Gregory, et al.. (2008). Mechanisms of bone erosion in gout: a quantitative analysis using plain radiography and computed tomography. Annals of the Rheumatic Diseases. 68(8). 1290–1295. 148 indexed citations

4.

Dalbeth, Nicola, Barnaby Clark, Kate Gregory, et al.. (2007). Computed tomography measurement of tophus volume: Comparison with physical measurement. Arthritis Care & Research. 57(3). 461–465. 49 indexed citations

5.

Dalbeth, Nicola, et al.. (2007). Tophaceous joint disease strongly predicts hand function in patients with gout. Lara D. Veeken. 46(12). 1804–1807. 95 indexed citations

6.

Dalbeth, Nicola, et al.. (2006). Clinical images: Three‐dimensional computed tomography imaging of tophaceous gout. Arthritis & Rheumatism. 56(1). 29–29. 1 indexed citations

7.

Swiger, L. A., et al.. (1964). The Variance of Intraclass Correlation Involving Groups with One Observation. Biometrics. 20(4). 818–818. 285 indexed citations breakdown →

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.

Explore authors with similar magnitude of impact