Mark McKenzie

3.6k total citations
19 papers, 1.2k citations indexed

About

Mark McKenzie is a scholar working on Surgery, Genetics and Immunology. According to data from OpenAlex, Mark McKenzie has authored 19 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Surgery, 7 papers in Genetics and 6 papers in Immunology. Recurrent topics in Mark McKenzie's work include Pancreatic function and diabetes (9 papers), Diabetes and associated disorders (7 papers) and Acute Myeloid Leukemia Research (5 papers). Mark McKenzie is often cited by papers focused on Pancreatic function and diabetes (9 papers), Diabetes and associated disorders (7 papers) and Acute Myeloid Leukemia Research (5 papers). Mark McKenzie collaborates with scholars based in Australia, United States and Austria. Mark McKenzie's co-authors include Helen E. Thomas, Thomas W. H. Kay, Andreas Strasser, David C.S. Huang, Thomas Kaufmann, Philippe Bouillet, Ueli Nachbur, Christoph Borner, Philipp J. Jost and John Silke and has published in prestigious journals such as Nature, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Mark McKenzie

19 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark McKenzie Australia 13 557 439 388 327 203 19 1.2k
M. Kay Washington United States 20 738 1.3× 383 0.9× 224 0.6× 173 0.5× 65 0.3× 34 1.6k
Maria B. Arvelo United States 13 370 0.7× 285 0.6× 183 0.5× 315 1.0× 67 0.3× 15 855
Frank Revetta United States 18 473 0.8× 315 0.7× 132 0.3× 175 0.5× 76 0.4× 40 1.2k
Claudia Mitchell France 21 625 1.1× 817 1.9× 112 0.3× 174 0.5× 42 0.2× 31 1.9k
Jean Charles Dagorn France 21 601 1.1× 309 0.7× 140 0.4× 143 0.4× 33 0.2× 27 1.1k
Steve F. Bronk United States 16 769 1.4× 420 1.0× 70 0.2× 207 0.6× 76 0.4× 18 1.6k
Alexandra C. Chadwick United States 14 562 1.0× 165 0.4× 184 0.5× 176 0.5× 54 0.3× 18 899
A. J. Tigges Netherlands 12 195 0.4× 154 0.4× 141 0.4× 365 1.1× 32 0.2× 16 900
Rossana Gualdi Italy 9 516 0.9× 255 0.6× 110 0.3× 67 0.2× 32 0.2× 11 1.0k
Yuping Chen China 15 681 1.2× 111 0.3× 104 0.3× 107 0.3× 107 0.5× 41 1.2k

Countries citing papers authored by Mark McKenzie

Since Specialization
Citations

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

Fields of papers citing papers by Mark McKenzie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark McKenzie

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

All Works

19 of 19 papers shown
1.
Ghisi, Margherita, Mark McKenzie, H. L. Mitchell, et al.. (2021). Acute myeloid leukemia maturation lineage influences residual disease and relapse following differentiation therapy. Nature Communications. 12(1). 6546–6546. 8 indexed citations
2.
Bolden, Jessica E., Erin D. Lucas, Geyu Zhou, et al.. (2018). Identification of a Siglec-F+ granulocyte-macrophage progenitor. Journal of Leukocyte Biology. 104(1). 123–133. 9 indexed citations
3.
Witkowski, Matthew T., Yifang Hu, Kathryn G. Roberts, et al.. (2017). Conserved IKAROS-regulated genes associated with B-progenitor acute lymphoblastic leukemia outcome. The Journal of Experimental Medicine. 214(3). 773–791. 22 indexed citations
4.
McKenzie, Mark, et al.. (2016). Approaches to quantify value from business to society. Sustainability Accounting Management and Policy Journal. 7(4). 474–493. 15 indexed citations
5.
Witkowski, Matthew T., Luigi Cimmino, Yifang Hu, et al.. (2015). Activated Notch counteracts Ikaros tumor suppression in mouse and human T-cell acute lymphoblastic leukemia. Leukemia. 29(6). 1301–1311. 24 indexed citations
6.
Wali, Jibran A., Dieter Rondas, Mark McKenzie, et al.. (2014). The proapoptotic BH3-only proteins Bim and Puma are downstream of endoplasmic reticulum and mitochondrial oxidative stress in pancreatic islets in response to glucotoxicity. Cell Death and Disease. 5(3). e1124–e1124. 89 indexed citations
7.
Liu, Grace, Luisa Cimmino, Julian Jude, et al.. (2014). PAX5 loss imposes a reversible differentiation block in b-progenitor acute lymphoblastic leukemia. Experimental Hematology. 42(8). S46–S46. 3 indexed citations
8.
Witkowski, Matthew T., Yifang Hu, Luisa Cimmino, et al.. (2014). Reversible Tumor Suppression By Ikzf1/Ikaros in Mouse Models of BCR-ABL1+ B-ALL. Blood. 124(21). 288–288. 1 indexed citations
9.
Cimmino, Luisa, Julian Jude, Yifang Hu, et al.. (2014). Pax5 loss imposes a reversible differentiation block in B-progenitor acute lymphoblastic leukemia. Genes & Development. 28(12). 1337–1350. 65 indexed citations
10.
Mollah, Zia U.A., Jibran A. Wali, Mark McKenzie, et al.. (2011). The pro-apoptotic BH3-only protein Bid is dispensable for development of insulitis and diabetes in the non-obese diabetic mouse. APOPTOSIS. 16(8). 822–830. 6 indexed citations
11.
Jost, Philipp J., Stephanie Grabow, Daniel H.D. Gray, et al.. (2009). XIAP discriminates between type I and type II FAS-induced apoptosis. Nature. 460(7258). 1035–1039. 352 indexed citations
12.
Thomas, Helen E., et al.. (2009). Beta cell apoptosis in diabetes. APOPTOSIS. 14(12). 1389–1404. 147 indexed citations
13.
McKenzie, Mark, Emma Jamieson, Elisa S. Jansen, et al.. (2009). Glucose Induces Pancreatic Islet Cell Apoptosis That Requires the BH3-Only Proteins Bim and Puma and Multi-BH Domain Protein Bax. Diabetes. 59(3). 644–652. 91 indexed citations
14.
Carrington, Emma M., Mark McKenzie, Elisa S. Jansen, et al.. (2009). Islet β-Cells Deficient in Bcl-xL Develop but Are Abnormally Sensitive to Apoptotic Stimuli. Diabetes. 58(10). 2316–2323. 34 indexed citations
15.
Kay, Thomas W. H., et al.. (2008). Cytotoxic T Cell Mechanisms of β Cell Destruction in Non‐Obese Diabetic Mice. Novartis Foundation symposium. 292. 68–84. 4 indexed citations
16.
McKenzie, Mark, Emma M. Carrington, Thomas Kaufmann, et al.. (2008). Proapoptotic BH3-Only Protein Bid Is Essential For Death Receptor–Induced Apoptosis of Pancreatic β-Cells. Diabetes. 57(5). 1284–1292. 68 indexed citations
17.
McKenzie, Mark, Nadine L. Dudek, Lina Mariana, et al.. (2006). Perforin and Fas induced by IFNγ and TNFα mediate beta cell death by OT-I CTL. International Immunology. 18(6). 837–846. 54 indexed citations
18.
Krishnamurthy, Balasubramanian, Nadine L. Dudek, Mark McKenzie, et al.. (2006). Responses against islet antigens in NOD mice are prevented by tolerance to proinsulin but not IGRP. Journal of Clinical Investigation. 116(12). 3258–3265. 180 indexed citations
19.
McKenzie, Mark, Tara Catterall, Vivien R. Sutton, et al.. (2006). Granzyme B–Mediated Death of Pancreatic β-Cells Requires the Proapoptotic BH3-Only Molecule Bid. Diabetes. 55(8). 2212–2219. 49 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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