Christopher MacKenzie

509 total citations
16 papers, 437 citations indexed

About

Christopher MacKenzie is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Cellular and Molecular Neuroscience. According to data from OpenAlex, Christopher MacKenzie has authored 16 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Endocrinology, Diabetes and Metabolism and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Christopher MacKenzie's work include Immune Response and Inflammation (5 papers), Receptor Mechanisms and Signaling (5 papers) and Neuropeptides and Animal Physiology (5 papers). Christopher MacKenzie is often cited by papers focused on Immune Response and Inflammation (5 papers), Receptor Mechanisms and Signaling (5 papers) and Neuropeptides and Animal Physiology (5 papers). Christopher MacKenzie collaborates with scholars based in United Kingdom, Australia and Austria. Christopher MacKenzie's co-authors include Robin Plevin, E.M. Lutz, Andrew Paul, Derek N. Robertson, Rory Mitchell, Karen M. Braas, Víctor May, Kristin C. Schutz, Toru Kanke and Masako Saka and has published in prestigious journals such as Journal of Biological Chemistry, Biochemical Journal and Endocrinology.

In The Last Decade

Christopher MacKenzie

16 papers receiving 428 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christopher MacKenzie United Kingdom 12 220 203 63 59 51 16 437
Toru Nanmoku Japan 16 189 0.9× 84 0.4× 53 0.8× 88 1.5× 73 1.4× 37 578
Derek McCulloch Australia 9 322 1.5× 193 1.0× 58 0.9× 13 0.2× 44 0.9× 14 545
Maria Grazia Rambotti Italy 15 368 1.7× 113 0.6× 45 0.7× 88 1.5× 21 0.4× 34 522
A L United States 9 461 2.1× 217 1.1× 46 0.7× 88 1.5× 40 0.8× 11 862
E. Orsó Germany 14 246 1.1× 79 0.4× 135 2.1× 42 0.7× 18 0.4× 26 612
I. Carrero Spain 14 280 1.3× 283 1.4× 39 0.6× 28 0.5× 105 2.1× 28 667
Wimolpak Sriwai United States 11 263 1.2× 88 0.4× 18 0.3× 29 0.5× 27 0.5× 15 415
Magdalena Tertil Poland 13 393 1.8× 65 0.3× 51 0.8× 149 2.5× 12 0.2× 14 644
R.Michael Broad United States 11 361 1.6× 112 0.6× 42 0.7× 143 2.4× 18 0.4× 13 564
Karin Gedda Sweden 12 236 1.1× 187 0.9× 18 0.3× 34 0.6× 45 0.9× 13 608

Countries citing papers authored by Christopher MacKenzie

Since Specialization
Citations

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

Fields of papers citing papers by Christopher MacKenzie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher MacKenzie

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher MacKenzie. A scholar is included among the top collaborators of Christopher 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 Christopher MacKenzie. Christopher 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.
MacKenzie, Christopher, et al.. (2021). Assessment of in-shoe pressure: Development of a clinical user guide based on a DELPHI-derived consensus. The Foot. 51. 101892–101892. 4 indexed citations
2.
Alston, R. Peter, et al.. (2019). The depth of anaesthesia associated with the administration of isoflurane 2.5% during cardiopulmonary bypass. Perfusion. 34(5). 392–398. 6 indexed citations
3.
May, Víctor, et al.. (2010). Pituitary Adenylate Cyclase-activating Polypeptide (PACAP)/PAC1HOP1 Receptor Activation Coordinates Multiple Neurotrophic Signaling Pathways. Journal of Biological Chemistry. 285(13). 9749–9761. 75 indexed citations
4.
Pou, Chantévy, et al.. (2008). Neurotrophic Actions of PACAP-38 and LIF on Human Neuroblastoma SH-SY5Y Cells. Journal of Molecular Neuroscience. 36(1-3). 45–56. 13 indexed citations
5.
Saka, Masako, Christopher MacKenzie, Robert J. Drummond, et al.. (2007). Cytokine upregulation of proteinase‐activated‐receptors 2 and 4 expression mediated by p38 MAP kinase and inhibitory kappa B kinaseβin human endothelial cells. British Journal of Pharmacology. 150(8). 1044–1054. 69 indexed citations
6.
MacKenzie, Christopher, et al.. (2007). PACAP‐38 induces neuronal differentiation of human SH‐SY5Y neuroblastoma cells via cAMP‐mediated activation of ERK and p38 MAP kinases1. Journal of Neurochemistry. 104(1). 74–88. 83 indexed citations
7.
MacKenzie, Christopher, et al.. (2006). IKKα and IKKβ function in TNFα-stimulated adhesion molecule expression in human aortic smooth muscle cells. Cellular Signalling. 19(1). 75–80. 16 indexed citations
8.
MacKenzie, Christopher, et al.. (2005). Selective inhibition of inhibitory kappa B kinase‐β abrogates induction of nitric oxide synthase in lipopolysaccharide‐stimulated rat aortic smooth muscle cells. British Journal of Pharmacology. 146(2). 217–225. 12 indexed citations
9.
MacKenzie, Christopher, Andrew Paul, Susan Wilson, et al.. (2003). Enhancement of lipopolysaccharide‐stimulated JNK activity in rat aortic smooth muscle cells by pharmacological and adenovirus‐mediated inhibition of inhibitory kappa B kinase signalling. British Journal of Pharmacology. 139(5). 1041–1049. 11 indexed citations
10.
McCulloch, Derek, Christopher MacKenzie, M. S. Johnson, et al.. (2002). Additional signals from VPAC/PAC family receptors. Biochemical Society Transactions. 30(4). 441–446. 39 indexed citations
11.
MacKenzie, Christopher, et al.. (2001). Hydrogen peroxide‐mediated inhibition of lipopolysaccharide‐stimulated inhibitory kappa B kinase activity in rat aortic smooth muscle cells. British Journal of Pharmacology. 134(2). 393–401. 18 indexed citations
12.
Liu, Li, Andrew Paul, Christopher MacKenzie, et al.. (2001). Nuclear factor kappa B is involved in lipopolysaccharide‐stimulated induction of interferon regulatory factor‐1 and GAS/GAF DNA‐binding in human umbilical vein endothelial cells. British Journal of Pharmacology. 134(8). 1629–1638. 29 indexed citations
13.
MacKenzie, Christopher, et al.. (2001). Regulation of glucose transport in aortic smooth muscle cells by cAMP and cGMP. Biochemical Journal. 353(3). 513–513. 3 indexed citations
14.
MacKenzie, Christopher, E.M. Lutz, Melanie S. Johnson, et al.. (2001). Mechanisms of Phospholipase C Activation by the Vasoactive Intestinal Polypeptide/Pituitary Adenylate Cyclase-Activating Polypeptide Type 2 Receptor. Endocrinology. 142(3). 1209–1217. 44 indexed citations
15.
MacKenzie, Christopher, et al.. (2001). Regulation of glucose transport in aortic smooth muscle cells by cAMP and cGMP. Biochemical Journal. 353(3). 513–519. 3 indexed citations
16.
Johnson, Melanie S., E.M. Lutz, Christopher MacKenzie, et al.. (2000). Gonadotropin-Releasing Hormone Receptor Activation of Extracellular Signal-Regulated Kinase and Tyrosine Kinases in Transfected GH3 Cells and in αT3–1 Cells1. Endocrinology. 141(9). 3087–3097. 12 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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