Donia Macartney‐Coxson

2.2k total citations
40 papers, 1.7k citations indexed

About

Donia Macartney‐Coxson is a scholar working on Molecular Biology, Genetics and Clinical Biochemistry. According to data from OpenAlex, Donia Macartney‐Coxson has authored 40 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 14 papers in Genetics and 6 papers in Clinical Biochemistry. Recurrent topics in Donia Macartney‐Coxson's work include Epigenetics and DNA Methylation (9 papers), Genetic Associations and Epidemiology (5 papers) and Adipose Tissue and Metabolism (5 papers). Donia Macartney‐Coxson is often cited by papers focused on Epigenetics and DNA Methylation (9 papers), Genetic Associations and Epidemiology (5 papers) and Adipose Tissue and Metabolism (5 papers). Donia Macartney‐Coxson collaborates with scholars based in New Zealand, Australia and United States. Donia Macartney‐Coxson's co-authors include Miles C. Benton, Christopher M. Thomas, Rod A. Lea, Richard S. Stubbs, Lyn R. Griffiths, David Eccles, Mark Hayes, Janet S. Rader, Alonso Martínez and Eamonn R. Maher and has published in prestigious journals such as PLoS ONE, Journal of Molecular Biology and Oncogene.

In The Last Decade

Donia Macartney‐Coxson

38 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Donia Macartney‐Coxson New Zealand 22 1.1k 449 293 192 167 40 1.7k
Suying Lü China 20 684 0.6× 78 0.2× 236 0.8× 57 0.3× 72 0.4× 95 1.3k
Christopher M. Hope Australia 21 760 0.7× 96 0.2× 141 0.5× 40 0.2× 44 0.3× 36 1.7k
Dan Liang China 19 1.6k 1.5× 377 0.8× 149 0.5× 70 0.4× 25 0.1× 65 2.4k
James Denvir United States 22 774 0.7× 157 0.3× 269 0.9× 97 0.5× 10 0.1× 65 1.4k
Dandan Huang China 22 1.1k 1.0× 270 0.6× 576 2.0× 88 0.5× 8 0.0× 79 2.0k
Glenn McEnroe United States 16 868 0.8× 143 0.3× 58 0.2× 133 0.7× 22 0.1× 20 1.8k
Shumei Liu China 16 859 0.8× 99 0.2× 117 0.4× 233 1.2× 22 0.1× 32 1.5k
Hongwei Pan China 23 614 0.5× 107 0.2× 348 1.2× 108 0.6× 11 0.1× 70 1.5k
Tarmo Annilo Estonia 22 1.2k 1.1× 180 0.4× 489 1.7× 46 0.2× 18 0.1× 38 2.3k

Countries citing papers authored by Donia Macartney‐Coxson

Since Specialization
Citations

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

Fields of papers citing papers by Donia Macartney‐Coxson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Donia Macartney‐Coxson. 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 Donia Macartney‐Coxson. The network helps show where Donia Macartney‐Coxson may publish in the future.

Co-authorship network of co-authors of Donia Macartney‐Coxson

This figure shows the co-authorship network connecting the top 25 collaborators of Donia Macartney‐Coxson. A scholar is included among the top collaborators of Donia Macartney‐Coxson 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 Donia Macartney‐Coxson. Donia Macartney‐Coxson 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
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Balm, Michelle, et al.. (2024). Early identification of a ward-based outbreak of Clostridioides difficile using prospective multilocus sequence type-based Oxford Nanopore genomic surveillance. Infection Control and Hospital Epidemiology. 45(9). 1057–1063. 4 indexed citations
3.
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Osborne, Amy J., John F. Pearson, Neil J. Gemmell, et al.. (2020). Genome-wide DNA methylation analysis of heavy cannabis exposure in a New Zealand longitudinal cohort. Translational Psychiatry. 10(1). 114–114. 30 indexed citations
5.
Macartney‐Coxson, Donia, Kirsty Danielson, Jane Clapham, et al.. (2020). MicroRNA Profiling in Adipose Before and After Weight Loss Highlights the Role of miR‐223‐3p and the NLRP3 Inflammasome. Obesity. 28(3). 570–580. 13 indexed citations
6.
Macartney‐Coxson, Donia, Alanna M. Cameron, Jane Clapham, & Miles C. Benton. (2020). DNA methylation in blood—Potential to provide new insights into cell biology. PLoS ONE. 15(11). e0241367–e0241367. 4 indexed citations
7.
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.
8.
Benton, Miles C., Heidi G. Sutherland, Donia Macartney‐Coxson, et al.. (2019). Methylome‐wide association study of whole blood DNA in the Norfolk Island isolate identifies robust loci associated with age. Figshare. 6 indexed citations
9.
Macartney‐Coxson, Donia, et al.. (2017). Genome-wide DNA methylation analysis reveals loci that distinguish different types of adipose tissue in obese individuals. Clinical Epigenetics. 9(1). 27 indexed citations
10.
Jones, Angela, Kirsty Danielson, Miles C. Benton, et al.. (2017). miRNA Signatures of Insulin Resistance in Obesity. Obesity. 25(10). 1734–1744. 126 indexed citations
11.
Benton, Miles C., Rod A. Lea, Donia Macartney‐Coxson, et al.. (2015). A Phenomic Scan of the Norfolk Island Genetic Isolate Identifies a Major Pleiotropic Effect Locus Associated with Metabolic and Renal Disorder Markers. PLoS Genetics. 11(10). e1005593–e1005593. 3 indexed citations
12.
Benton, Miles C., Shani Stuart, Claire Bellis, et al.. (2015). ‘Mutiny on the Bounty’: the genetic history of Norfolk Island reveals extreme gender-biased admixture. PubMed. 6(1). 11–11. 7 indexed citations
13.
Eccles, David, Donia Macartney‐Coxson, Geoffrey K. Chambers, & Rod A. Lea. (2012). A unique demographic history exists for the MAO-A gene in Polynesians. Journal of Human Genetics. 57(5). 294–300. 4 indexed citations
14.
Benton, Michael J., Donia Macartney‐Coxson, David Eccles, et al.. (2012). Complete Mitochondrial Genome Sequencing Reveals Novel Haplotypes in a Polynesian Population. PLoS ONE. 7(4). e35026–e35026. 1 indexed citations
15.
Myles, Sean, Rod A. Lea, Jun Ohashi, et al.. (2011). Testing the thrifty gene hypothesis: the Gly482Ser variant in PPARGC1Ais associated with BMI in Tongans. BMC Medical Genetics. 12(1). 10–10. 45 indexed citations
16.
Krebs, Jeremy, et al.. (2011). Studies in Insulin Resistance following Very Low Calorie Diet and/or Gastric Bypass Surgery. Obesity Surgery. 21(12). 1914–1920. 29 indexed citations
17.
McCallum, Lisa, Francesca Fernandez, Sharon Quinlan, et al.. (2007). Association study of a functional variant in intron 8 of the dopamine transporter gene and migraine susceptibility. European Journal of Neurology. 14(6). 706–707. 10 indexed citations
18.
Agathanggelou, Angelo, Sofia Honorio, Donia Macartney‐Coxson, et al.. (2001). Methylation associated inactivation of RASSF1A from region 3p21.3 in lung, breast and ovarian tumours. Oncogene. 20(12). 1509–1518. 336 indexed citations
19.
Marchini, Sergio, Janet S. Rader, Alonso Martínez, et al.. (1999). Detailed genetic and physical mapping of tumor suppressor loci on chromosome 3p in ovarian cancer.. PubMed. 59(18). 4662–7. 48 indexed citations
20.
Thorsted, Peter B., Donia Macartney‐Coxson, Parveen Akhtar, et al.. (1998). Complete sequence of the IncPβ plasmid R751: implications for evolution and organisation of the IncP backbone. Journal of Molecular Biology. 282(5). 969–990. 184 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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