Jon Merlin

578 total citations
17 papers, 459 citations indexed

About

Jon Merlin is a scholar working on Molecular Biology, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jon Merlin has authored 17 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Physiology and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jon Merlin's work include Receptor Mechanisms and Signaling (8 papers), Adipose Tissue and Metabolism (7 papers) and Adipokines, Inflammation, and Metabolic Diseases (3 papers). Jon Merlin is often cited by papers focused on Receptor Mechanisms and Signaling (8 papers), Adipose Tissue and Metabolism (7 papers) and Adipokines, Inflammation, and Metabolic Diseases (3 papers). Jon Merlin collaborates with scholars based in Australia, Sweden and United States. Jon Merlin's co-authors include Dana S. Hutchinson, Bronwyn A. Evans, Roger J. Summers, Tore Bengtsson, Masaaki Sato, Nodi Dehvari, Arthur Christopoulos, Robert I. Csikasz, R. P. Fahey and Cameron J. Nowell and has published in prestigious journals such as PLoS ONE, Journal of Applied Physiology and Journal of Neurochemistry.

In The Last Decade

Jon Merlin

17 papers receiving 454 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jon Merlin Australia 15 231 206 125 83 52 17 459
Hannah J. Richter United States 7 174 0.8× 220 1.1× 78 0.6× 66 0.8× 30 0.6× 9 486
Xiao-Xia Han Canada 7 278 1.2× 246 1.2× 22 0.2× 33 0.4× 53 1.0× 10 500
Manashree Damle United States 13 338 1.5× 290 1.4× 43 0.3× 94 1.1× 107 2.1× 17 758
Sergio Arrabal Spain 13 125 0.5× 126 0.6× 128 1.0× 90 1.1× 63 1.2× 15 469
Michael Trenker Austria 9 571 2.5× 251 1.2× 130 1.0× 39 0.5× 40 0.8× 10 715
M. Nechad France 13 210 0.9× 658 3.2× 36 0.3× 188 2.3× 26 0.5× 17 725
Kristina K. Beiswenger United States 6 186 0.8× 327 1.6× 152 1.2× 27 0.3× 53 1.0× 6 613
Tsukasa Sugano Japan 11 159 0.7× 127 0.6× 64 0.5× 46 0.6× 59 1.1× 20 416
Sara Lupoli Italy 11 322 1.4× 209 1.0× 69 0.6× 20 0.2× 17 0.3× 15 652
Elena Sanguino Spain 8 166 0.7× 191 0.9× 211 1.7× 89 1.1× 69 1.3× 10 587

Countries citing papers authored by Jon Merlin

Since Specialization
Citations

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

Fields of papers citing papers by Jon Merlin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jon Merlin

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

All Works

17 of 17 papers shown
1.
Zhao, Peishen, Tin T. Truong, Jon Merlin, Patrick M. Sexton, & Denise Wootten. (2022). Implications of ligand-receptor binding kinetics on GLP-1R signalling. Biochemical Pharmacology. 199. 114985–114985. 15 indexed citations
2.
Merlin, Jon, Julia Park, Teresa H. Vandekolk, et al.. (2022). Multipathway In Vitro Pharmacological Characterization of Specialized Proresolving G Protein-Coupled Receptors. Molecular Pharmacology. 101(4). 246–256. 16 indexed citations
3.
Rueda, Patricia, Jon Merlin, Stefano Chimenti, et al.. (2021). Pharmacological Insights Into Safety and Efficacy Determinants for the Development of Adenosine Receptor Biased Agonists in the Treatment of Heart Failure. Frontiers in Pharmacology. 12. 628060–628060. 6 indexed citations
4.
Dehvari, Nodi, Masaaki Sato, Anastasia Kalinovich, et al.. (2020). The metabolic effects of mirabegron are mediated primarily by β3‐adrenoceptors. Pharmacology Research & Perspectives. 8(5). e00643–e00643. 15 indexed citations
5.
Evans, Bronwyn A., Jon Merlin, Tore Bengtsson, & Dana S. Hutchinson. (2019). Adrenoceptors in white, brown, and brite adipocytes. British Journal of Pharmacology. 176(14). 2416–2432. 57 indexed citations
6.
Sato, Masaaki, Nodi Dehvari, Jessica M. Olsen, et al.. (2019). BRL37344 stimulates GLUT4 translocation and glucose uptake in skeletal muscle via β2-adrenoceptors without causing classical receptor desensitization. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 316(5). R666–R677. 17 indexed citations
7.
Hutchinson, Dana S., et al.. (2018). Effects of hypoxia-ischemia and inotropes on expression of cardiac adrenoceptors in the preterm fetal sheep. Journal of Applied Physiology. 125(5). 1368–1377. 3 indexed citations
8.
Merlin, Jon, Masaaki Sato, Ling Yeong Chia, et al.. (2018). Rosiglitazone and a β3-Adrenoceptor Agonist Are Both Required for Functional Browning of White Adipocytes in Culture. Frontiers in Endocrinology. 9. 29 indexed citations
9.
Merlin, Jon, Masaaki Sato, Cameron J. Nowell, et al.. (2017). The PPARγ agonist rosiglitazone promotes the induction of brite adipocytes, increasing β-adrenoceptor-mediated mitochondrial function and glucose uptake. Cellular Signalling. 42. 54–66. 47 indexed citations
10.
Sato, Masaaki, Jon Merlin, Dana S. Hutchinson, et al.. (2017). Factors influencing biased agonism in recombinant cells expressing the human α1A‐adrenoceptor. British Journal of Pharmacology. 174(14). 2318–2333. 25 indexed citations
11.
Merlin, Jon, Bronwyn A. Evans, Nodi Dehvari, et al.. (2015). Could burning fat start with a brite spark? Pharmacological and nutritional ways to promote thermogenesis. Molecular Nutrition & Food Research. 60(1). 18–42. 42 indexed citations
12.
Merlin, Jon, Elodie Marcon, Céline Rouget, et al.. (2013). Orthosteric Binding of ρ-Da1a, a Natural Peptide of Snake Venom Interacting Selectively with the α1A-Adrenoceptor. PLoS ONE. 8(7). e68841–e68841. 19 indexed citations
13.
Dehvari, Nodi, Dana S. Hutchinson, Olof Dallner, et al.. (2011). β2‐Adrenoceptors increase translocation of GLUT4 via GPCR kinase sites in the receptor C‐terminal tail. British Journal of Pharmacology. 165(5). 1442–1456. 26 indexed citations
14.
Hutchinson, Dana S., et al.. (2011). α2-Adrenoceptors activate noradrenaline-mediated glycogen turnover in chick astrocytes. Journal of Neurochemistry. 117(5). 915–926. 20 indexed citations
15.
Evans, Bronwyn A., Jon Merlin, Misako Sato, et al.. (2011). Quantification of functional selectivity at the human α1A- adrenoceptor (Molecular Pharmacology (2011) 79, (298-307)). 79(3). 17 indexed citations
16.
Evans, Bronwyn A., Jon Merlin, Masaaki Sato, et al.. (2010). Quantification of Functional Selectivity at the Human α1A-Adrenoceptor. Molecular Pharmacology. 79(2). 298–307. 65 indexed citations
17.
Merlin, Jon, Bronwyn A. Evans, Robert I. Csikasz, et al.. (2010). The M3-muscarinic acetylcholine receptor stimulates glucose uptake in L6 skeletal muscle cells by a CaMKK–AMPK–dependent mechanism. Cellular Signalling. 22(7). 1104–1113. 40 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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