Amanda E. Mackenzie

1.3k total citations
16 papers, 1.0k citations indexed

About

Amanda E. Mackenzie is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Surgery. According to data from OpenAlex, Amanda E. Mackenzie has authored 16 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 11 papers in Cellular and Molecular Neuroscience and 5 papers in Surgery. Recurrent topics in Amanda E. Mackenzie's work include Receptor Mechanisms and Signaling (13 papers), Neuropeptides and Animal Physiology (11 papers) and Cholesterol and Lipid Metabolism (3 papers). Amanda E. Mackenzie is often cited by papers focused on Receptor Mechanisms and Signaling (13 papers), Neuropeptides and Animal Physiology (11 papers) and Cholesterol and Lipid Metabolism (3 papers). Amanda E. Mackenzie collaborates with scholars based in United Kingdom, Denmark and United States. Amanda E. Mackenzie's co-authors include Graeme Milligan, Anne D. Donaldson, Davide Mantiero, Philip Zegerman, Brian D. Hudson, Stuart A. Nicklin, Trond Ulven, Andrew B. Tobin, Elisabeth Christiansen and Laura Jenkins and has published in prestigious journals such as Nature, Journal of Biological Chemistry and The EMBO Journal.

In The Last Decade

Amanda E. Mackenzie

16 papers receiving 989 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amanda E. Mackenzie United Kingdom 14 780 239 161 129 125 16 1.0k
Katharina Simon Germany 15 433 0.6× 206 0.9× 97 0.6× 83 0.6× 103 0.8× 21 702
Junko Doi Japan 17 703 0.9× 73 0.3× 173 1.1× 99 0.8× 150 1.2× 35 1.1k
David J. Unett United States 12 567 0.7× 244 1.0× 259 1.6× 57 0.4× 112 0.9× 21 969
Aida M. Mamarbachi Canada 18 683 0.9× 229 1.0× 112 0.7× 66 0.5× 189 1.5× 25 1.1k
Johann Gassenhuber Germany 13 879 1.1× 143 0.6× 120 0.7× 101 0.8× 429 3.4× 15 1.2k
YounJeong Choi United States 12 465 0.6× 129 0.5× 199 1.2× 44 0.3× 96 0.8× 20 872
Viswanathan Raghuram United States 20 1.0k 1.3× 91 0.4× 165 1.0× 63 0.5× 81 0.6× 41 1.4k
Lisa S. Beavers United States 16 516 0.7× 364 1.5× 133 0.8× 82 0.6× 181 1.4× 19 957
S. M. Doel United Kingdom 12 591 0.8× 150 0.6× 213 1.3× 114 0.9× 99 0.8× 15 1.0k
Lynn Yieh United States 16 721 0.9× 97 0.4× 298 1.9× 121 0.9× 138 1.1× 17 1.2k

Countries citing papers authored by Amanda E. Mackenzie

Since Specialization
Citations

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

Fields of papers citing papers by Amanda E. Mackenzie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amanda E. Mackenzie. 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 Amanda E. Mackenzie. The network helps show where Amanda E. Mackenzie may publish in the future.

Co-authorship network of co-authors of Amanda E. Mackenzie

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

All Works

16 of 16 papers shown
1.
Boleij, Annemarie, Payam Fathi, W. Brian Dalton, et al.. (2021). G-protein coupled receptor 35 (GPR35) regulates the colonic epithelial cell response to enterotoxigenic Bacteroides fragilis. Communications Biology. 4(1). 585–585. 31 indexed citations
2.
Quon, Tezz, et al.. (2021). G Protein-Coupled Receptor GPR35 Suppresses Lipid Accumulation in Hepatocytes. ACS Pharmacology & Translational Science. 4(6). 1835–1848. 12 indexed citations
3.
Martí-Solano, Maria, Duccio Malinverni, Christian Munk, et al.. (2020). Combinatorial expression of GPCR isoforms affects signalling and drug responses. Nature. 587(7835). 650–656. 90 indexed citations
4.
Mackenzie, Amanda E., Tezz Quon, Alexander S. Hauser, et al.. (2019). Receptor selectivity between the G proteins Gα 12 and Gα 13 is defined by a single leucine‐to‐isoleucine variation. The FASEB Journal. 33(4). 5005–5017. 29 indexed citations
5.
Mackenzie, Amanda E., et al.. (2018). Evidence for the Existence of a CXCL17 Receptor Distinct from GPR35. The Journal of Immunology. 201(2). 714–724. 41 indexed citations
6.
Mackenzie, Amanda E., et al.. (2015). G protein-coupled receptor 35: an emerging target in inflammatory and cardiovascular disease. Frontiers in Pharmacology. 6. 41–41. 72 indexed citations
7.
McCallum, Jennifer E., et al.. (2015). G-Protein-Coupled Receptor 35 Mediates Human Saphenous Vein Vascular Smooth Muscle Cell Migration and Endothelial Cell Proliferation. Journal of Vascular Research. 52(6). 383–395. 23 indexed citations
8.
Sergeev, Eugenia, Anders Højgaard Hansen, Sunil K. Pandey, et al.. (2015). Non-equivalence of Key Positively Charged Residues of the Free Fatty Acid 2 Receptor in the Recognition and Function of Agonist Versus Antagonist Ligands. Journal of Biological Chemistry. 291(1). 303–317. 45 indexed citations
9.
Mackenzie, Amanda E. & Graeme Milligan. (2015). The emerging pharmacology and function of GPR35 in the nervous system. Neuropharmacology. 113(Pt B). 661–671. 40 indexed citations
10.
Hudson, Brian D., Bharat Shimpukade, Amanda E. Mackenzie, et al.. (2013). The Pharmacology of TUG-891, a Potent and Selective Agonist of the Free Fatty Acid Receptor 4 (FFA4/GPR120), Demonstrates Both Potential Opportunity and Possible Challenges to Therapeutic Agonism. Molecular Pharmacology. 84(5). 710–725. 167 indexed citations
11.
Mackenzie, Amanda E., Gianluigi Caltabiano, Toby Kent, et al.. (2013). The Antiallergic Mast Cell Stabilizers Lodoxamide and Bufrolin as the First High and Equipotent Agonists of Human and Rat GPR35. Molecular Pharmacology. 85(1). 91–104. 59 indexed citations
12.
Hudson, Brian D., Maria E. Due‐Hansen, Elisabeth Christiansen, et al.. (2013). Defining the Molecular Basis for the First Potent and Selective Orthosteric Agonists of the FFA2 Free Fatty Acid Receptor. Journal of Biological Chemistry. 288(24). 17296–17312. 94 indexed citations
13.
Jenkins, Laura, Amanda E. Mackenzie, C. Southern, et al.. (2012). Antagonists of GPR35 Display High Species Ortholog Selectivity and Varying Modes of Action. Journal of Pharmacology and Experimental Therapeutics. 343(3). 683–695. 44 indexed citations
14.
Mackenzie, Amanda E., C. Southern, Jeff Jerman, et al.. (2012). High-Throughput Identification and Characterization of Novel, Species-selective GPR35 Agonists. Journal of Pharmacology and Experimental Therapeutics. 344(3). 568–578. 34 indexed citations
15.
Mantiero, Davide, Amanda E. Mackenzie, Anne D. Donaldson, & Philip Zegerman. (2011). Limiting replication initiation factors execute the temporal programme of origin firing in budding yeast. The EMBO Journal. 30(23). 4805–4814. 211 indexed citations
16.
Docherty, Hilary M., et al.. (2009). An engineered zinc finger protein reveals a role for the insulin VNTR in the regulation of the insulin and adjacent IGF2 genes. FEBS Letters. 583(19). 3181–3186. 9 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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