Michael P. Massett

1.2k total citations
42 papers, 983 citations indexed

About

Michael P. Massett is a scholar working on Physiology, Cardiology and Cardiovascular Medicine and Genetics. According to data from OpenAlex, Michael P. Massett has authored 42 papers receiving a total of 983 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Physiology, 20 papers in Cardiology and Cardiovascular Medicine and 14 papers in Genetics. Recurrent topics in Michael P. Massett's work include Nitric Oxide and Endothelin Effects (10 papers), Genetics and Physical Performance (10 papers) and Heart Rate Variability and Autonomic Control (7 papers). Michael P. Massett is often cited by papers focused on Nitric Oxide and Endothelin Effects (10 papers), Genetics and Physical Performance (10 papers) and Heart Rate Variability and Autonomic Control (7 papers). Michael P. Massett collaborates with scholars based in United States, South Korea and Germany. Michael P. Massett's co-authors include Bradford C. Berk, K. C. Kregel, Stephen J. Lewis, Seung Kyum Kim, T. Lohman, Ákos Koller, Gabor Kaley, Yan Chen, Harald M. Stauss and Vyacheslav A. Korshunov and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and PLoS ONE.

In The Last Decade

Michael P. Massett

40 papers receiving 959 citations

Peers

Michael P. Massett

PHYSI

CCM

GENET

Elizabeth Bowles United States

Alex Shimura Yamashita Brazil

Donna H. Korzick United States

Marit Hjorth Norway

Sven W. Görgens Germany

David Rizo‐Roca Spain

Agnes Modin Sweden

Kenji Iizuka Japan

Kechun Tang United States

Morten A. Høydal Norway

Elizabeth Bowles United States

Michael P. Massett

430 ×0.8

PHYSI

324 ×1.0

129 ×0.5

CCM

96 ×1.0

GENET

109 ×1.3

Citations per year, relative to Michael P. Massett Michael P. Massett (= 1×) peers Elizabeth Bowles

Countries citing papers authored by Michael P. Massett

Since Specialization

Citations

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

Fields of papers citing papers by Michael P. Massett

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael P. Massett. 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 Michael P. Massett. The network helps show where Michael P. Massett may publish in the future.

Co-authorship network of co-authors of Michael P. Massett

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

All Works

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20 of 20 papers shown

Zhou, Zhen, Michael P. Massett, Mingjie Zheng, et al.. (2025). MYH11 rare variant augments aortic growth and induces cardiac hypertrophy and heart failure with pressure overload. PLoS Genetics. 21(7). e1011394–e1011394.

Massett, Michael P., et al.. (2024). Beneficial effects of rapamycin on endothelial function in systemic lupus erythematosus. Frontiers in Physiology. 15. 1446836–1446836. 4 indexed citations

Massett, Michael P., et al.. (2024). Effect of Spermidine on Endothelial Function in Systemic Lupus Erythematosus Mice. International Journal of Molecular Sciences. 25(18). 9920–9920. 4 indexed citations

Hopkins, Laura, Abhijnan Chattopadhyay, Gang Han, et al.. (2023). Smooth Muscle-Alpha Actin R149C Pathogenic Variant Downregulates Integrin Recruitment at Cell-Matrix Adhesions and Decreases Cellular Contractility. International Journal of Molecular Sciences. 24(11). 9616–9616. 4 indexed citations

Woodman, Christopher R., et al.. (2023). Genetic background influences arterial vasomotor function in male and female mice. Physiological Reports. 11(19). e15824–e15824. 2 indexed citations

Massett, Michael P., et al.. (2021). Systematic Review and Meta-Analysis of Endurance Exercise Training Protocols for Mice. Frontiers in Physiology. 12. 782695–782695. 16 indexed citations

Trache, Andreea, Michael P. Massett, & Christopher R. Woodman. (2020). Vascular smooth muscle stiffness and its role in aging. Current topics in membranes. 86. 217–253. 11 indexed citations

Massett, Michael P., Seung Kyum Kim, Jacqui Marzec, et al.. (2020). Mitochondrial DNA lesions and copy number are strain dependent in endurance‐trained mice. Physiological Reports. 8(21). e14605–e14605. 5 indexed citations

Kim, Seung Kyum, et al.. (2020). Interaction of genetic background and exercise training intensity on endothelial function in mouse aorta. Korean Journal of Physiology and Pharmacology. 24(1). 53–53. 3 indexed citations

10.

Kim, Seung Kyum, et al.. (2017). Differences in Exercise Capacity and Responses to Training in 24 Inbred Mouse Strains. Frontiers in Physiology. 8. 974–974. 41 indexed citations

11.

Kim, Seung Kyum & Michael P. Massett. (2016). Genetic Regulation of Endothelial Vasomotor Function. Frontiers in Physiology. 7. 571–571. 10 indexed citations

12.

Massett, Michael P., et al.. (2015). Exercise Capacity and Response to Training Quantitative Trait Loci in a NZW X 129S1 Intercross and Combined Cross Analysis of Inbred Mouse Strains. PLoS ONE. 10(12). e0145741–e0145741. 7 indexed citations

13.

Kim, Seung, et al.. (2015). Genetic Regulation of Endothelial Responses to Exercise Training. The FASEB Journal. 29(S1). 1 indexed citations

14.

Liu, Su, Yi‐Fen Lee, S. M. Chou, et al.. (2011). Mice Lacking TR4 Nuclear Receptor Develop Mitochondrial Myopathy with Deficiency in Complex I. Molecular Endocrinology. 25(8). 1301–1310. 18 indexed citations

15.

Pang, Jinjiang, Ryan Hoefen, Gloria Pryhuber, et al.. (2009). G-Protein–Coupled Receptor Kinase Interacting Protein-1 Is Required for Pulmonary Vascular Development. Circulation. 119(11). 1524–1532. 47 indexed citations

16.

Woo, Chang-Hoon, Michael P. Massett, Tetsuro Shishido, et al.. (2006). ERK5 Activation Inhibits Inflammatory Responses via Peroxisome Proliferator-activated Receptor δ (PPARδ) Stimulation. Journal of Biological Chemistry. 281(43). 32164–32174. 79 indexed citations

17.

Massett, Michael P. & Bradford C. Berk. (2004). Strain-dependent differences in responses to exercise training in inbred and hybrid mice. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 288(4). R1006–R1013. 83 indexed citations

18.

Korshunov, Vyacheslav A., Michael P. Massett, Robert M. Carey, & Bradford C. Berk. (2004). Role of Angiotensin-Converting Enzyme and Neutral Endopeptidase in Flow-Dependent Remodeling. Journal of Vascular Research. 41(2). 148–156. 3 indexed citations

19.

Williams, Daniel P., et al.. (1993). Aqueous and Mineral Fractions of the Fat-Free Body and Their Relation to Body Fat Estimates in Men and Women Aged 49–82 Years. PubMed. 60. 109–113. 10 indexed citations

20.

Massett, Michael P., et al.. (1993). Detection of small changes in body composition by dual-energy x-ray absorptiometry. American Journal of Clinical Nutrition. 57(6). 845–850. 166 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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