John R. Mackey

40.9k total citations · 11 hit papers
335 papers, 24.6k citations indexed

About

John R. Mackey is a scholar working on Oncology, Molecular Biology and Cancer Research. According to data from OpenAlex, John R. Mackey has authored 335 papers receiving a total of 24.6k indexed citations (citations by other indexed papers that have themselves been cited), including 200 papers in Oncology, 89 papers in Molecular Biology and 68 papers in Cancer Research. Recurrent topics in John R. Mackey's work include Cancer Treatment and Pharmacology (59 papers), Cancer survivorship and care (55 papers) and HER2/EGFR in Cancer Research (44 papers). John R. Mackey is often cited by papers focused on Cancer Treatment and Pharmacology (59 papers), Cancer survivorship and care (55 papers) and HER2/EGFR in Cancer Research (44 papers). John R. Mackey collaborates with scholars based in Canada, United States and France. John R. Mackey's co-authors include Kerry S. Courneya, Lee W. Jones, Carol E. Cass, Charles Dumontet, Mark J. Haykowsky, Adrian Fairey, Karen A. Gelmon, Evangelos D. Michelakis, Christine M. Friedenreich and Donald C. McKenzie and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and Nature Communications.

In The Last Decade

John R. Mackey

327 papers receiving 23.9k citations

Hit Papers

Effects of Aerobic and Resistance Exercise in Breast Canc... 2002 2026 2010 2018 2007 2009 2002 2003 2009 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John R. Mackey Canada 84 14.8k 5.9k 4.6k 4.0k 3.1k 335 24.6k
Dawn L. Hershman United States 82 12.7k 0.9× 2.3k 0.4× 3.9k 0.8× 3.5k 0.9× 1.9k 0.6× 717 27.2k
Karen A. Gelmon Canada 73 15.9k 1.1× 5.6k 1.0× 6.6k 1.4× 7.0k 1.8× 1.4k 0.4× 393 23.8k
Hyman B. Muss United States 84 17.2k 1.2× 2.9k 0.5× 5.7k 1.2× 9.4k 2.4× 1.4k 0.4× 556 29.7k
Howard L. McLeod United States 81 10.1k 0.7× 9.6k 1.6× 2.6k 0.6× 2.9k 0.7× 2.6k 0.8× 481 26.6k
Clifford A. Hudis United States 93 23.6k 1.6× 8.2k 1.4× 6.9k 1.5× 14.1k 3.5× 1.2k 0.4× 509 39.7k
Kevin Stein United States 43 8.4k 0.6× 3.2k 0.5× 3.3k 0.7× 1.9k 0.5× 2.7k 0.9× 112 16.3k
Lynn A. G. Ries United States 56 13.0k 0.9× 4.1k 0.7× 6.6k 1.4× 3.6k 0.9× 2.6k 0.8× 81 26.7k
Carol DeSantis United States 32 13.0k 0.9× 7.8k 1.3× 5.1k 1.1× 6.4k 1.6× 1.7k 0.5× 55 28.2k
Michael Gnant Austria 71 13.1k 0.9× 7.8k 1.3× 5.6k 1.2× 10.0k 2.5× 922 0.3× 555 37.9k
Kathleen I. Pritchard Canada 72 15.6k 1.1× 6.1k 1.0× 5.4k 1.2× 9.9k 2.5× 809 0.3× 369 25.4k

Countries citing papers authored by John R. Mackey

Since Specialization
Citations

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

Fields of papers citing papers by John R. Mackey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John R. Mackey. 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 John R. Mackey. The network helps show where John R. Mackey may publish in the future.

Co-authorship network of co-authors of John R. Mackey

This figure shows the co-authorship network connecting the top 25 collaborators of John R. Mackey. A scholar is included among the top collaborators of John R. Mackey 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 John R. Mackey. John R. Mackey 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.
Beauchamp, Erwan, Christopher R. Cromwell, Morris A. Kostiuk, et al.. (2024). Multiomics analysis identifies oxidative phosphorylation as a cancer vulnerability arising from myristoylation inhibition. Journal of Translational Medicine. 22(1). 431–431. 7 indexed citations
2.
Dinakaran, Deepak, et al.. (2023). Photon Absorption Remote Sensing Imaging of Breast Needle Core Biopsies Is Diagnostically Equivalent to Gold Standard H&E Histologic Assessment. Current Oncology. 30(11). 9760–9771. 3 indexed citations
3.
Hugh, Judith, Gilbert Bigras, Xiuying Hu, et al.. (2021). DREAM, a possible answer to the estrogen paradox of the Women's Health Initiative Trial. Heliyon. 8(1). e08666–e08666. 2 indexed citations
4.
Lewis, Cody W., Amirali B. Bukhari, Wonshik Choi, et al.. (2019). Upregulation of Myt1 Promotes Acquired Resistance of Cancer Cells to Wee1 Inhibition. Cancer Research. 79(23). 5971–5985. 47 indexed citations
5.
Press, Michael F., José A. Seoane, Christina Curtis, et al.. (2018). Assessment ofERBB2/HER2Status inHER2-Equivocal Breast Cancers by FISH and 2013/2014 ASCO-CAP Guidelines. JAMA Oncology. 5(3). 366–366. 25 indexed citations
6.
Pituskin, Edith, John R. Mackey, Sheri L. Koshman, et al.. (2017). Multidisciplinary Approach to Novel Therapies in Cardio-Oncology Research (MANTICORE 101–Breast): A Randomized Trial for the Prevention of Trastuzumab-Associated Cardiotoxicity. Journal of Clinical Oncology. 35(8). 870–877. 253 indexed citations
7.
Spera, Gonzalo, Rodrigo Fresco, Hoki Fung, et al.. (2017). Beta blockers and improved progression-free survival in patients with advanced HER2 negative breast cancer: a retrospective analysis of the ROSE/TRIO-012 study. Annals of Oncology. 28(8). 1836–1841. 55 indexed citations
8.
Sawyer, Michael B., Edith Pituskin, Sambasivarao Damaraju, et al.. (2015). A Uridine Glucuronosyltransferase 2B7 Polymorphism Predicts Epirubicin Clearance and Outcomes in Early-Stage Breast Cancer. Clinical Breast Cancer. 16(2). 139–144.e3. 17 indexed citations
9.
Stern, Howard M., Humphrey Gardner, Tomasz Burzykowski, et al.. (2015). PTEN Loss Is Associated with Worse Outcome in HER2 -Amplified Breast Cancer Patients but Is Not Associated with Trastuzumab Resistance. Clinical Cancer Research. 21(9). 2065–2074. 57 indexed citations
10.
Tang, Yanan, John R. Mackey, Raymond Lai, et al.. (2013). Quantitative proteomic analysis of HER2 normal and overexpressing MCF-7 breast cancer cells revealed proteomic changes accompanied with HER2 gene amplification. Journal of Proteomics. 91. 200–209. 7 indexed citations
11.
McNeely, Margaret L., Kristin L. Campbell, Maria B. Ospina, et al.. (2010). Exercise interventions for upper-limb dysfunction due to breast cancer treatment. Cochrane Database of Systematic Reviews. 2010(6). CD005211–CD005211. 238 indexed citations
12.
Dumontet, Charles, Maryla Krajewska, Isabelle Treilleux, et al.. (2010). BCIRG 001 Molecular Analysis: Prognostic Factors in Node-Positive Breast Cancer Patients Receiving Adjuvant Chemotherapy. Clinical Cancer Research. 16(15). 3988–3997. 33 indexed citations
13.
Lesniak, David, Yaoxian Xu, Jean Deschênes, et al.. (2009). β1-Integrin Circumvents the Antiproliferative Effects of Trastuzumab in Human Epidermal Growth Factor Receptor-2–Positive Breast Cancer. Cancer Research. 69(22). 8620–8628. 71 indexed citations
14.
Haykowsky, Mark J., John R. Mackey, Richard B. Thompson, Lee W. Jones, & D. Ian Paterson. (2009). Adjuvant Trastuzumab Induces Ventricular Remodeling Despite Aerobic Exercise Training. Clinical Cancer Research. 15(15). 4963–4967. 96 indexed citations
15.
Hugh, Judith, John Hanson, Maggie C.U. Cheang, et al.. (2009). Breast Cancer Subtypes and Response to Docetaxel in Node-Positive Breast Cancer: Use of an Immunohistochemical Definition in the BCIRG 001 Trial. Journal of Clinical Oncology. 27(8). 1168–1176. 407 indexed citations
16.
Burzykowski, Tomasz, Marc Buyse, Martine Piccart, et al.. (2008). Evaluation of Tumor Response, Disease Control, Progression-Free Survival, and Time to Progression As Potential Surrogate End Points in Metastatic Breast Cancer. Journal of Clinical Oncology. 26(12). 1987–1992. 268 indexed citations
17.
Eastell, Richard, Judith E. Adams, Robert E. Coleman, et al.. (2008). Effect of Anastrozole on Bone Mineral Density: 5-Year Results From the Anastrozole, Tamoxifen, Alone or in Combination Trial 18233230. Journal of Clinical Oncology. 26(7). 1051–1057. 306 indexed citations
18.
Vallance, Jeffrey K., Kerry S. Courneya, Ronald C. Plotnikoff, & John R. Mackey. (2008). Analyzing Theoretical Mechanisms of Physical Activity Behavior Change in Breast Cancer Survivors: Results from the Activity Promotion (ACTION) Trial. Annals of Behavioral Medicine. 35(2). 150–158. 91 indexed citations
19.
Jones, Lee W., Kerry S. Courneya, Adrian Fairey, & John R. Mackey. (2005). Does the Theory of Planned Behavior Mediate the Effects of an Oncologist's Recommendation to Exercise in Newly Diagnosed Breast Cancer Survivors? Results From a Randomized Controlled Trial.. Health Psychology. 24(2). 189–197. 75 indexed citations
20.
Dabbagh, Laith, Robert Coupland, Carol E. Cass, & John R. Mackey. (2003). Correspondence Re: J. R. Mackey et al., ImmunohistochemicalVariation of Human Equilibrative Nucleoside Transporter 1 Protein inPrimary Breast Cancers. Clin. Cancer Res., 8: 110ndash;116, 2002.. Clinical Cancer Research. 9(8). 3213–3214. 13 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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