Robyn Meech

3.5k total citations
71 papers, 2.7k citations indexed

About

Robyn Meech is a scholar working on Molecular Biology, Pharmacology and Genetics. According to data from OpenAlex, Robyn Meech has authored 71 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Molecular Biology, 17 papers in Pharmacology and 15 papers in Genetics. Recurrent topics in Robyn Meech's work include Pharmacogenetics and Drug Metabolism (17 papers), Glycosylation and Glycoproteins Research (12 papers) and Drug Transport and Resistance Mechanisms (12 papers). Robyn Meech is often cited by papers focused on Pharmacogenetics and Drug Metabolism (17 papers), Glycosylation and Glycoproteins Research (12 papers) and Drug Transport and Resistance Mechanisms (12 papers). Robyn Meech collaborates with scholars based in Australia, United States and United Kingdom. Robyn Meech's co-authors include Peter I. Mackenzie, Ross A. McKinnon, Dong Hu, Frederick S. Jones, Helen P. Makarenkova, John O. Miners, David B. Edelman, Pramod C. Nair, Julie-Ann Hulin and Andrew Rowland and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Physiological Reviews.

In The Last Decade

Robyn Meech

70 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robyn Meech Australia 30 1.6k 694 532 350 286 71 2.7k
Chung S. Song United States 29 1.1k 0.7× 324 0.5× 469 0.9× 238 0.7× 522 1.8× 44 2.2k
Lesley M. Forrester United Kingdom 36 2.7k 1.6× 666 1.0× 499 0.9× 383 1.1× 737 2.6× 86 4.5k
Hueng‐Sik Choi South Korea 29 1.4k 0.9× 448 0.6× 479 0.9× 221 0.6× 854 3.0× 82 3.3k
Guangping Chen United States 28 1.3k 0.8× 340 0.5× 223 0.4× 133 0.4× 282 1.0× 100 2.4k
Thomas A. Rosenquist United States 28 2.5k 1.5× 627 0.9× 262 0.5× 704 2.0× 471 1.6× 49 4.3k
Haibiao Gong United States 24 966 0.6× 344 0.5× 437 0.8× 296 0.8× 268 0.9× 44 2.1k
S Andersson United States 13 1.4k 0.8× 347 0.5× 443 0.8× 170 0.5× 530 1.9× 15 2.7k
Junichi Kamiie Japan 22 1.0k 0.6× 282 0.4× 1.1k 2.0× 103 0.3× 150 0.5× 110 2.8k
Yue Huang China 34 2.1k 1.3× 98 0.1× 744 1.4× 330 0.9× 267 0.9× 101 3.6k
F Oberhammer Austria 18 2.5k 1.5× 171 0.2× 889 1.7× 433 1.2× 180 0.6× 22 3.6k

Countries citing papers authored by Robyn Meech

Since Specialization
Citations

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

Fields of papers citing papers by Robyn Meech

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robyn Meech

This figure shows the co-authorship network connecting the top 25 collaborators of Robyn Meech. A scholar is included among the top collaborators of Robyn Meech 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 Robyn Meech. Robyn Meech 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.
Meech, Robyn, Dong Hu, Julie-Ann Hulin, & Peter I. Mackenzie. (2025). Sex-specific UGT expression and function: prevalence, potential mechanisms and significance. Expert Opinion on Drug Metabolism & Toxicology. 21(5). 511–518.
2.
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Hu, Dong, Shashikanth Marri, Julie-Ann Hulin, et al.. (2022). The Somatic Mutation Landscape of UDP-Glycosyltransferase (UGT) Genes in Human Cancers. Cancers. 14(22). 5708–5708. 5 indexed citations
4.
Sukocheva, Olga, Dong Hu, Robyn Meech, & Anupam Bishayee. (2021). Divergence of Intracellular Trafficking of Sphingosine Kinase 1 and Sphingosine-1-Phosphate Receptor 3 in MCF-7 Breast Cancer Cells and MCF-7-Derived Stem Cell-Enriched Mammospheres. International Journal of Molecular Sciences. 22(9). 4314–4314. 16 indexed citations
5.
Orang, Ayla, et al.. (2021). Integrative Transcriptomic Network Analysis of Butyrate Treated Colorectal Cancer Cells. Cancers. 13(4). 636–636. 15 indexed citations
6.
Hu, Dong, Shashikanth Marri, Peter I. Mackenzie, et al.. (2021). The Expression Profiles and Deregulation of UDP-Glycosyltransferase (UGT) Genes in Human Cancers and Their Association with Clinical Outcomes. Cancers. 13(17). 4491–4491. 20 indexed citations
7.
Hu, Dong, Peter I. Mackenzie, Pramod C. Nair, Ross A. McKinnon, & Robyn Meech. (2020). The Expression Profiles of ADME Genes in Human Cancers and Their Associations with Clinical Outcomes. Cancers. 12(11). 3369–3369. 20 indexed citations
8.
Rowland, Andrew, Madelé van Dyk, Dhilushi Wijayakumara, et al.. (2018). Plasma extracellular nanovesicle (exosome)‐derived biomarkers for drug metabolism pathways: a novel approach to characterize variability in drug exposure. British Journal of Clinical Pharmacology. 85(1). 216–226. 62 indexed citations
9.
10.
Wijayakumara, Dhilushi, Peter I. Mackenzie, Ross A. McKinnon, Dong Hu, & Robyn Meech. (2017). Regulation of UDP-Glucuronosyltransferases UGT2B4 and UGT2B7 by MicroRNAs in Liver Cancer Cells. Journal of Pharmacology and Experimental Therapeutics. 361(3). 386–397. 20 indexed citations
11.
Hu, Dong, Ross A. McKinnon, Julie-Ann Hulin, Peter I. Mackenzie, & Robyn Meech. (2016). Novel Nine-Exon AR Transcripts (Exon 1/Exon 1b/Exons 2–8) in Normal and Cancerous Breast and Prostate Cells. International Journal of Molecular Sciences. 18(1). 40–40. 8 indexed citations
12.
Hu, Dong, Luke A. Selth, Gerard A. Tarulli, et al.. (2016). Androgen and Estrogen Receptors in Breast Cancer Coregulate Human UDP-Glucuronosyltransferases 2B15 and 2B17. Cancer Research. 76(19). 5881–5893. 48 indexed citations
13.
Nair, Pramod C., Robyn Meech, Peter I. Mackenzie, Ross A. McKinnon, & John O. Miners. (2015). Insights into the UDP-sugar selectivities of human UDP-glycosyltransferases (UGT): a molecular modeling perspective. Drug Metabolism Reviews. 47(3). 335–345. 25 indexed citations
14.
Makarenkova, Helen P., et al.. (2013). Identification of Novel Epithelial Stem/Progenitor Cell Population in Murine Uninjured Lacrimal Gland. Investigative Ophthalmology & Visual Science. 54(15). 2190–2190. 1 indexed citations
15.
Makarenkova, Helen P. & Robyn Meech. (2012). Barx Homeobox Family in Muscle Development and Regeneration. International review of cell and molecular biology. 297. 117–173. 20 indexed citations
16.
Meech, Robyn & Peter I. Mackenzie. (2010). UGT3A: novel UDP-glycosyltransferases of the UGT superfamily. Drug Metabolism Reviews. 42(1). 45–54. 33 indexed citations
17.
Makarenkova, Helen P., Matthew P. Hoffman, Andrew Beenken, et al.. (2009). Differential Interactions of FGFs with Heparan Sulfate Control Gradient Formation and Branching Morphogenesis. Science Signaling. 2(88). ra55–ra55. 149 indexed citations
18.
Makarenkova, Helen P., et al.. (2009). Barx2 Controls Myoblast Fusion and Promotes MyoD-mediated Activation of the Smooth Muscleα-Actin Gene. Journal of Biological Chemistry. 284(22). 14866–14874. 22 indexed citations
19.
20.
Meech, Robyn & Peter I. Mackenzie. (1998). Determinants of UDP Glucuronosyltransferase Membrane Association and Residency in the Endoplasmic Reticulum. Archives of Biochemistry and Biophysics. 356(1). 77–85. 56 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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