Rachel M. Mayers

683 total citations
11 papers, 572 citations indexed

About

Rachel M. Mayers is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Surgery. According to data from OpenAlex, Rachel M. Mayers has authored 11 papers receiving a total of 572 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Endocrinology, Diabetes and Metabolism, 4 papers in Molecular Biology and 3 papers in Surgery. Recurrent topics in Rachel M. Mayers's work include Hormonal Regulation and Hypertension (4 papers), Adipose Tissue and Metabolism (3 papers) and Hypothalamic control of reproductive hormones (2 papers). Rachel M. Mayers is often cited by papers focused on Hormonal Regulation and Hypertension (4 papers), Adipose Tissue and Metabolism (3 papers) and Hypothalamic control of reproductive hormones (2 papers). Rachel M. Mayers collaborates with scholars based in United Kingdom and United States. Rachel M. Mayers's co-authors include Brian R. Holloway, Gareth Williams, H. D. McCarthy, Pauline E. McKibbin, David M. Smith, Stephen J. Cotton, Simon M. Poucher, Carol Lenaghan, Krisztina Hegyi and D. Sloan Stribling and has published in prestigious journals such as Diabetes, Journal of Medicinal Chemistry and British Journal of Pharmacology.

In The Last Decade

Rachel M. Mayers

11 papers receiving 548 citations

Peers

Rachel M. Mayers
J.H. Moltz United States
Martina Holubová Czechia
Yumiko Ohike Japan
Satoshi Hirako Japan
Alexander Szabo Australia
A. A. Owji Iran
Cintia Folgueira Spain
Peter E. Cadman United States
Frederick Hom United States
J.H. Moltz United States
Rachel M. Mayers
Citations per year, relative to Rachel M. Mayers Rachel M. Mayers (= 1×) peers J.H. Moltz

Countries citing papers authored by Rachel M. Mayers

Since Specialization
Citations

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

Fields of papers citing papers by Rachel M. Mayers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rachel M. Mayers. 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 Rachel M. Mayers. The network helps show where Rachel M. Mayers may publish in the future.

Co-authorship network of co-authors of Rachel M. Mayers

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

All Works

11 of 11 papers shown
1.
Scott, James S., Peter Barton, Elaine Kilgour, et al.. (2012). Reduction of acyl glucuronidation in a series of acidic 11β-hydroxysteroid dehydrogenase type 1 (11β-HSD1) inhibitors: the discovery of AZD6925. MedChemComm. 3(10). 1264–1264. 11 indexed citations
2.
Scott, James S., Elaine Kilgour, Rachel M. Mayers, et al.. (2012). Novel Acidic 11β-Hydroxysteroid Dehydrogenase Type 1 (11β-HSD1) Inhibitor with Reduced Acyl Glucuronide Liability: The Discovery of 4-[4-(2-Adamantylcarbamoyl)-5-tert-butyl-pyrazol-1-yl]benzoic Acid (AZD8329). Journal of Medicinal Chemistry. 55(22). 10136–10147. 31 indexed citations
3.
4.
Salah, Eman, Sheldon Bastacky, Huw B. Jones, et al.. (2011). Diabetic nephropathy and long-term treatment effects of rosiglitazone and enalapril in obese ZSF1 rats. Journal of Endocrinology. 210(3). 293–308. 68 indexed citations
5.
Mayers, Rachel M., et al.. (2010). Reversibility of hyperglycaemia and islet abnormalities in the high fat-fed female ZDF rat model of type 2 diabetes. Journal of Pharmacological and Toxicological Methods. 63(1). 15–23. 10 indexed citations
6.
Morgan, Stuart, Mark Sherlock, Laura Gathercole, et al.. (2009). 11β-Hydroxysteroid Dehydrogenase Type 1 Regulates Glucocorticoid-Induced Insulin Resistance in Skeletal Muscle. Diabetes. 58(11). 2506–2515. 134 indexed citations
7.
Mayers, Rachel M., et al.. (2008). The long-chain fatty acid receptor, GPR40, and glucolipotoxicity: investigations using GPR40-knockout mice. Biochemical Society Transactions. 36(5). 950–954. 39 indexed citations
8.
Mayers, Rachel M., et al.. (1996). The acid metabolite of ZD7114 is a partial agonist of lipolysis mediated by the rat β3-adrenoceptor. European Journal of Pharmacology. 295(2-3). 199–205. 7 indexed citations
9.
McCarthy, H. D., Pauline E. McKibbin, Brian R. Holloway, Rachel M. Mayers, & Gareth Williams. (1991). Hypothalamic neuropeptide Y receptor characteristics and NPY-induced feeding responses in lean and obese Zucker rats. Life Sciences. 49(20). 1491–1497. 51 indexed citations
10.
Holloway, Brian R., et al.. (1991). ICI D7114 a novel selective β‐adrenoceptor agonist selectively stimulates brown fat and increases whole‐body oxygen consumption. British Journal of Pharmacology. 104(1). 97–104. 66 indexed citations
11.
McKibbin, Pauline E., Stephen J. Cotton, Brian R. Holloway, et al.. (1991). Altered Neuropeptide Y Concentrations in Specific Hypothalamic Regions of Obese (fa/fa) Zucker Rats: Possible Relationship to Obesity and Neuroendocrine Disturbances. Diabetes. 40(11). 1423–1429. 106 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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