Matthew McKenzie

5.8k total citations
74 papers, 4.5k citations indexed

About

Matthew McKenzie is a scholar working on Molecular Biology, Clinical Biochemistry and Physiology. According to data from OpenAlex, Matthew McKenzie has authored 74 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Molecular Biology, 34 papers in Clinical Biochemistry and 5 papers in Physiology. Recurrent topics in Matthew McKenzie's work include Mitochondrial Function and Pathology (55 papers), Metabolism and Genetic Disorders (34 papers) and ATP Synthase and ATPases Research (30 papers). Matthew McKenzie is often cited by papers focused on Mitochondrial Function and Pathology (55 papers), Metabolism and Genetic Disorders (34 papers) and ATP Synthase and ATPases Research (30 papers). Matthew McKenzie collaborates with scholars based in Australia, United States and United Kingdom. Matthew McKenzie's co-authors include Michael T. Ryan, David R. Thorburn, Michael Lazarou, Ian A. Trounce, Justin C. St. John, Masakazu Mimaki, Sze Chern Lim, Richard D. Kelly, Akira Ohtake and Sarah J. Creed and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Matthew McKenzie

69 papers receiving 4.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew McKenzie Australia 40 3.6k 1.3k 416 318 302 74 4.5k
Acisclo Pérez‐Martos Spain 26 3.4k 0.9× 955 0.7× 560 1.3× 327 1.0× 253 0.8× 40 4.2k
Anna Wredenberg Sweden 24 4.0k 1.1× 1.2k 0.9× 926 2.2× 337 1.1× 240 0.8× 49 4.7k
Michal Minczuk United Kingdom 48 5.3k 1.5× 1.2k 0.9× 215 0.5× 377 1.2× 528 1.7× 99 5.8k
Robert N. Lightowlers United Kingdom 50 7.0k 1.9× 2.4k 1.8× 431 1.0× 463 1.5× 392 1.3× 142 7.8k
Michael P. King United States 30 4.1k 1.1× 1.5k 1.2× 306 0.7× 174 0.5× 435 1.4× 47 4.5k
Rudolf J. Wiesner Germany 43 2.9k 0.8× 506 0.4× 947 2.3× 312 1.0× 367 1.2× 107 4.3k
Zofia M. Chrzanowska‐Lightowlers United Kingdom 39 3.5k 1.0× 830 0.6× 259 0.6× 210 0.7× 221 0.7× 97 4.1k
Nancy Braverman Canada 35 4.6k 1.3× 1.4k 1.0× 1.1k 2.7× 458 1.4× 505 1.7× 113 6.0k
Konstantin Khrapko United States 32 4.0k 1.1× 887 0.7× 380 0.9× 439 1.4× 1.0k 3.4× 74 4.8k
Johannes N. Spelbrink Finland 40 6.6k 1.8× 2.6k 2.0× 968 2.3× 414 1.3× 413 1.4× 69 7.5k

Countries citing papers authored by Matthew McKenzie

Since Specialization
Citations

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

Fields of papers citing papers by Matthew McKenzie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew McKenzie

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew McKenzie. A scholar is included among the top collaborators of Matthew McKenzie 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 Matthew McKenzie. Matthew McKenzie 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.
Ohara, Shinji, et al.. (2025). Insulinoma Mimic: Tramadol-induced Hypoglycemia. JCEM Case Reports. 3(3). luaf034–luaf034.
2.
Sharma, Sumit & Matthew McKenzie. (2025). The Pathogenesis of Very Long-Chain Acyl-CoA Dehydrogenase Deficiency. Biomolecules. 15(3). 416–416. 1 indexed citations
3.
Connor, Timothy, Javier Botella, Amanda J. Genders, et al.. (2024). Amyloid beta 42 alters cardiac metabolism and impairs cardiac function in male mice with obesity. Nature Communications. 15(1). 258–258. 5 indexed citations
4.
McKenzie, Matthew, et al.. (2024). Machine learning based insights of seeded congruent crystal growth of LiNbO3 in glass. Acta Materialia. 276. 120115–120115.
5.
Sharpe, Alice J., Shuai Nie, Mark Ziemann, et al.. (2022). Loss of mitochondrial fatty acid β‐oxidation protein short‐chain Enoyl‐CoA hydratase disrupts oxidative phosphorylation protein complex stability and function. FEBS Journal. 290(1). 225–246. 11 indexed citations
6.
Tran, Nhi T., et al.. (2022). The Effects of In Utero Fetal Hypoxia and Creatine Treatment on Mitochondrial Function in the Late Gestation Fetal Sheep Brain. Oxidative Medicine and Cellular Longevity. 2022(1). 11 indexed citations
7.
Koch, Rebecca E., Katherine L. Buchanan, Stefania Casagrande, et al.. (2021). Integrating Mitochondrial Aerobic Metabolism into Ecology and Evolution. Trends in Ecology & Evolution. 36(4). 321–332. 114 indexed citations
8.
McKenzie, Matthew, et al.. (2016). Combined defects in oxidative phosphorylation and fatty acid β-oxidation in mitochondrial disease. Bioscience Reports. 36(2). 109 indexed citations
9.
Cullen, Jason K., Abrey J. Yeo, Matthew McKenzie, et al.. (2016). AarF Domain Containing Kinase 3 (ADCK3) Mutant Cells Display Signs of Oxidative Stress, Defects in Mitochondrial Homeostasis and Lysosomal Accumulation. PLoS ONE. 11(2). e0148213–e0148213. 73 indexed citations
10.
Johnson, Jacqueline L., William Lee, Ann E. Frazier, et al.. (2015). Deletion of the Complex I Subunit NDUFS4 Adversely Modulates Cellular Differentiation. Stem Cells and Development. 25(3). 239–250. 9 indexed citations
11.
Trounce, Ian A., et al.. (2015). Generation of Xenomitochondrial Embryonic Stem Cells for the Production of Live Xenomitochondrial Mice. Methods in molecular biology. 1351. 163–173.
12.
Trounce, Ian A., et al.. (2013). Modulation of ceramide-induced cell death and superoxide production by mitochondrial DNA-encoded respiratory chain defects in Rattus xenocybrid mouse cells. Biochimica et Biophysica Acta (BBA) - Bioenergetics. 1827(7). 817–825. 7 indexed citations
13.
Mimaki, Masakazu, et al.. (2011). Understanding mitochondrial complex I assembly in health and disease. Biochimica et Biophysica Acta (BBA) - Bioenergetics. 1817(6). 851–862. 327 indexed citations
14.
Gebert, Natalia, Amit Joshi, Stephan Kutik, et al.. (2009). Mitochondrial Cardiolipin Involved in Outer-Membrane Protein Biogenesis: Implications for Barth Syndrome. Current Biology. 19(24). 2133–2139. 197 indexed citations
15.
McKenzie, Matthew, Michael Lazarou, & Michael T. Ryan. (2009). Chapter 18 Analysis of Respiratory Chain Complex Assembly with Radiolabeled Nuclear‐ and Mitochondrial‐Encoded Subunits. Methods in enzymology on CD-ROM/Methods in enzymology. 456. 321–339. 42 indexed citations
16.
17.
McKenzie, Matthew, Michael Lazarou, David R. Thorburn, & Michael T. Ryan. (2006). Mitochondrial Respiratory Chain Supercomplexes Are Destabilized in Barth Syndrome Patients. Journal of Molecular Biology. 361(3). 462–469. 340 indexed citations
18.
McKenzie, Matthew, et al.. (2004). Production of homoplasmic xenomitochondrial mice. Proceedings of the National Academy of Sciences. 101(6). 1685–1690. 58 indexed citations
19.
20.
Babon, Jeffrey J., Matthew McKenzie, & Richard G.H. Cotton. (1999). Mutation detection using fluorescent enzyme mismatch cleavage with T4 endonuclease VII. Electrophoresis. 20(6). 1162–1170. 16 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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