Murray Cadzow

1.2k total citations
33 papers, 698 citations indexed

About

Murray Cadzow is a scholar working on Nephrology, Pathology and Forensic Medicine and Molecular Biology. According to data from OpenAlex, Murray Cadzow has authored 33 papers receiving a total of 698 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Nephrology, 12 papers in Pathology and Forensic Medicine and 9 papers in Molecular Biology. Recurrent topics in Murray Cadzow's work include Gout, Hyperuricemia, Uric Acid (20 papers), Alcohol Consumption and Health Effects (12 papers) and Liver Disease Diagnosis and Treatment (6 papers). Murray Cadzow is often cited by papers focused on Gout, Hyperuricemia, Uric Acid (20 papers), Alcohol Consumption and Health Effects (12 papers) and Liver Disease Diagnosis and Treatment (6 papers). Murray Cadzow collaborates with scholars based in New Zealand, United States and Australia. Murray Cadzow's co-authors include Tony R. Merriman, Nicola Dalbeth, Ruth Topless, Lisa K. Stamp, Amanda Phipps‐Green, Michael A. Black, James Boocock, Marilyn E. Merriman, Andrea L. Vincent and Charles N. J. McGhee and has published in prestigious journals such as Scientific Reports, Ophthalmology and Human Molecular Genetics.

In The Last Decade

Murray Cadzow

32 papers receiving 684 citations

Peers

Murray Cadzow
Cheryl P. Sanchez United States
Elif Erkan United States
Camille Macé United States
Ruth G. Abramson United States
Murray Cadzow
Citations per year, relative to Murray Cadzow Murray Cadzow (= 1×) peers Chenggang Xu

Countries citing papers authored by Murray Cadzow

Since Specialization
Citations

This map shows the geographic impact of Murray Cadzow'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 Murray Cadzow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Murray Cadzow more than expected).

Fields of papers citing papers by Murray Cadzow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Murray Cadzow. 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 Murray Cadzow. The network helps show where Murray Cadzow may publish in the future.

Co-authorship network of co-authors of Murray Cadzow

This figure shows the co-authorship network connecting the top 25 collaborators of Murray Cadzow. A scholar is included among the top collaborators of Murray Cadzow 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 Murray Cadzow. Murray Cadzow is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Leask, Megan, Murray Cadzow, Nicola Dalbeth, et al.. (2023). Genetic testing for misclassified monogenic diabetes in Māori and Pacific peoples in Aōtearoa New Zealand with early-onset type 2 diabetes. Frontiers in Endocrinology. 14. 1174699–1174699. 1 indexed citations
2.
Topless, Ruth, Tanya J. Major, José C. Florez, et al.. (2021). The comparative effect of exposure to various risk factors on the risk of hyperuricaemia: diet has a weak causal effect. Arthritis Research & Therapy. 23(1). 75–75. 25 indexed citations
3.
Boocock, James, Megan Leask, Yukinori Okada, et al.. (2020). Genomic dissection of 43 serum urate-associated loci provides multiple insights into molecular mechanisms of urate control. Human Molecular Genetics. 29(6). 923–943. 49 indexed citations
4.
Cadzow, Murray, David Markie, Amanda Phipps‐Green, et al.. (2020). Trans-ancestral dissection of urate- and gout-associated major loci SLC2A9 and ABCG2 reveals primate-specific regulatory effects. Journal of Human Genetics. 66(2). 161–169. 9 indexed citations
5.
Narang, Ravi, Greg Gamble, Amanda Phipps‐Green, et al.. (2020). Do Serum Urate–associated Genetic Variants Influence Gout Risk in People Taking Diuretics? Analysis of the UK Biobank. The Journal of Rheumatology. 47(11). 1704–1711. 4 indexed citations
6.
Winbo, Annika, Nikki Earle, Jackie Crawford, et al.. (2020). Genetic testing in Polynesian long QT syndrome probands reveals a lower diagnostic yield and an increased prevalence of rare variants. Heart Rhythm. 17(8). 1304–1311. 6 indexed citations
7.
Phipps‐Green, Amanda, Ruth Topless, Tanya J. Major, et al.. (2020). Pleiotropic effect of the ABCG2 gene in gout: involvement in serum urate levels and progression from hyperuricemia to gout. Arthritis Research & Therapy. 22(1). 45–45. 40 indexed citations
8.
Teal, Tracy, François Michonneau, Taylor Reiter, et al.. (2019). datacarpentry/genomics-workshop: Data Carpentry: Genomics Workshop Overview, June 2019. Figshare. 1 indexed citations
9.
Merriman, Tony R., Murray Cadzow, Marilyn E. Merriman, et al.. (2019). A genome-wide association study of gout in people of European ancestry. Figshare. 69.
10.
Narang, Ravi, Ruth Topless, Murray Cadzow, et al.. (2019). Interactions between serum urate-associated genetic variants and sex on gout risk: analysis of the UK Biobank. Arthritis Research & Therapy. 21(1). 13–13. 21 indexed citations
11.
Lacey, Cameron, Kit Doudney, Paul Bridgman, et al.. (2018). Copy number variants implicate cardiac function and development pathways in earthquake-induced stress cardiomyopathy. Scientific Reports. 8(1). 7548–7548. 7 indexed citations
12.
Cadzow, Murray, Tony R. Merriman, & Nicola Dalbeth. (2017). Performance of gout definitions for genetic epidemiological studies: analysis of UK Biobank. Arthritis Research & Therapy. 19(1). 181–181. 40 indexed citations
13.
Cadzow, Murray, et al.. (2017). Identification of Cis-Regulatory Modules that Function in the Male Germline of Flowering Plants. Methods in molecular biology. 1669. 275–293. 2 indexed citations
14.
Cadzow, Murray, Tony R. Merriman, James Boocock, et al.. (2016). Lack of direct evidence for natural selection at the candidate thrifty gene locus, PPARGC1A. BMC Medical Genetics. 17(1). 80–80. 9 indexed citations
15.
Oliver, Verity F., Murray Cadzow, Bernhard Steger, et al.. (2016). A COL17A1 Splice-Altering Mutation Is Prevalent in Inherited Recurrent Corneal Erosions. Ophthalmology. 123(4). 709–722. 33 indexed citations
16.
Topless, Ruth, Murray Cadzow, Lisa K. Stamp, et al.. (2015). Association of SLC2A9 genotype with phenotypic variability of serum urate in pre-menopausal women. Frontiers in Genetics. 6. 313–313. 13 indexed citations
17.
Cadzow, Murray, Nicola Dalbeth, Peter B. Jones, et al.. (2015). Positive association of tomato consumption with serum urate: support for tomato consumption as an anecdotal trigger of gout flares. BMC Musculoskeletal Disorders. 16(1). 196–196. 25 indexed citations
18.
Cadzow, Murray, James Boocock, Hoang T. Nguyen, et al.. (2014). A bioinformatics workflow for detecting signatures of selection in genomic data. Frontiers in Genetics. 5. 293–293. 53 indexed citations
19.
Roberts, Rebecca L, Daniel F. B. Wright, Murray Cadzow, et al.. (2013). Frequency of CYP2C9 polymorphisms in polynesian people and potential relevance to management of gout with benzbromarone. Joint Bone Spine. 81(2). 160–163. 10 indexed citations
20.
Dalbeth, Nicola, Meaghan E House, Gregory D. Gamble, et al.. (2013). Population-specific influence of SLC2A9 genotype on the acute hyperuricaemic response to a fructose load. Annals of the Rheumatic Diseases. 72(11). 1868–1873. 59 indexed citations

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.

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