Michael P. Gray

1.2k total citations
45 papers, 389 citations indexed

About

Michael P. Gray is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Michael P. Gray has authored 45 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cardiology and Cardiovascular Medicine, 12 papers in Pulmonary and Respiratory Medicine and 8 papers in Surgery. Recurrent topics in Michael P. Gray's work include Sports Performance and Training (7 papers), Pulmonary Hypertension Research and Treatments (7 papers) and Cardiac Imaging and Diagnostics (5 papers). Michael P. Gray is often cited by papers focused on Sports Performance and Training (7 papers), Pulmonary Hypertension Research and Treatments (7 papers) and Cardiac Imaging and Diagnostics (5 papers). Michael P. Gray collaborates with scholars based in United States, Australia and United Kingdom. Michael P. Gray's co-authors include Karen M. O’Brien, Steven M. Kawut, Ben Jones, Keith Rome, John Dixon, Gregory Roe, Christopher J. Black, Nicholas Dalton‐Barron, Gemma A. Figtree and James O. Breeden and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and American Journal of Respiratory and Critical Care Medicine.

In The Last Decade

Michael P. Gray

36 papers receiving 359 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael P. Gray United States 10 85 68 68 44 42 45 389
Christopher Klenk Switzerland 16 65 0.8× 130 1.9× 50 0.7× 96 2.2× 40 1.0× 36 717
Andrew Davidson Australia 17 95 1.1× 77 1.1× 26 0.4× 49 1.1× 14 0.3× 55 958
Cecilia Engström Sweden 8 31 0.4× 34 0.5× 77 1.1× 36 0.8× 38 0.9× 21 599
Paul Ford United Kingdom 14 264 3.1× 28 0.4× 262 3.9× 46 1.0× 11 0.3× 33 1.1k
Patrick O’Halloran United Kingdom 11 11 0.1× 18 0.3× 203 3.0× 25 0.6× 25 0.6× 26 469
Henry J.M. Ferguson United Kingdom 11 50 0.6× 26 0.4× 58 0.9× 21 0.5× 24 0.6× 23 417
Jean‐François Fils Belgium 13 24 0.3× 44 0.6× 54 0.8× 64 1.5× 5 0.1× 40 543
Henrik Larsen Denmark 16 126 1.5× 80 1.2× 467 6.9× 169 3.8× 7 0.2× 54 1.3k
B. Cuzin France 15 141 1.7× 11 0.2× 55 0.8× 68 1.5× 32 0.8× 58 1.2k
Frank Golding Australia 9 68 0.8× 9 0.1× 46 0.7× 79 1.8× 6 0.1× 23 388

Countries citing papers authored by Michael P. Gray

Since Specialization
Citations

This map shows the geographic impact of Michael P. Gray'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. Gray 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. Gray more than expected).

Fields of papers citing papers by Michael P. Gray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Michael P. Gray. A scholar is included among the top collaborators of Michael P. Gray 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. Gray. Michael P. Gray 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.
Tang, Owen, Michael P. Gray, S A Vernon, et al.. (2025). Evaluating the role of lipoprotein(a) in enhancing risk stratification for the presence and extent of subclinical coronary artery disease burden: a BioHEART-CT study. European Journal of Preventive Cardiology. 3 indexed citations
3.
Gray, Michael P., David S. Celermajer, Helen M. McGuire, et al.. (2024). Vascular Cytokines and Atherosclerosis: Differential Serum Levels of TRAIL, IL-18, and OPG in Obstructive Coronary Artery Disease. Biomolecules. 14(9). 1119–1119. 2 indexed citations
4.
Gray, Michael P., Birgit Vogel, Roxana Mehran, Jane A. Leopold, & Gemma A. Figtree. (2024). Primary prevention of cardiovascular disease in women. Climacteric. 27(1). 104–112. 1 indexed citations
5.
Branch, Kelley R., Pamela S. Douglas, Michael P. Gray, et al.. (2024). Computed tomographic angiography measures of coronary plaque in clinical trials: opportunities and considerations to accelerate drug translation. Frontiers in Cardiovascular Medicine. 11. 1359500–1359500. 5 indexed citations
6.
Vernon, Stephen T., Stuart J. Brentnall, Michael P. Gray, et al.. (2024). Health economic analysis of polygenic risk score use in primary prevention of coronary artery disease – A system dynamics model. SHILAP Revista de lepidopterología. 18. 100672–100672. 7 indexed citations
8.
Besnier, Marie, Owen Tang, Katharine A. Kott, et al.. (2023). High-Throughput Measure of Mitochondrial Superoxide Levels as a Marker of Coronary Artery Disease to Accelerate Drug Translation in Patient-Derived Endothelial Cells Using Opera Phenix® Technology. International Journal of Molecular Sciences. 25(1). 22–22. 4 indexed citations
9.
Kott, Katharine A., Michael P. Gray, Peter Riis Hansen, et al.. (2023). Serum Soluble Lectin-like Oxidized Low-Density Lipoprotein Receptor-1 (sLOX-1) Is Associated with Atherosclerosis Severity in Coronary Artery Disease. Biomolecules. 13(8). 1187–1187. 4 indexed citations
10.
Zhu, Dantong, Stephen T. Vernon, Jing Wu, et al.. (2023). Lipidomics Profiling and Risk of Coronary Artery Disease in the BioHEART-CT Discovery Cohort. Biomolecules. 13(6). 917–917. 13 indexed citations
11.
Bischoff, Kara, Nicholas A. Kolaitis, Richard A. Kronmal, et al.. (2022). Palliative care referrals in patients with pulmonary arterial hypertension: The Pulmonary Hypertension Association Registry. Respiratory Medicine. 206. 107066–107066. 3 indexed citations
13.
Michelson, David, M.J. Grundman, Rory A. Fisher, et al.. (2019). Randomized, Placebo Controlled Trial of NPT088, A Phage-Derived, Amyloid-Targeted Treatment for Alzheimer's Disease. The Journal of Prevention of Alzheimer s Disease. 6(4). 228–231. 10 indexed citations
14.
Weaving, Dan, Nicholas Dalton‐Barron, Christopher J. Black, et al.. (2018). The Same Story or a Unique Novel? Within-Participant Principal-Component Analysis of Measures of Training Load in Professional Rugby Union Skills Training. International Journal of Sports Physiology and Performance. 13(9). 1175–1181. 33 indexed citations
15.
Talwar, Arunabh, Joe G. N. Garcia, Matthew R. Moreno, et al.. (2017). Health Disparities in Patients with Pulmonary Arterial Hypertension: A Blueprint for Action. An Official American Thoracic Society Statement. American Journal of Respiratory and Critical Care Medicine. 196(8). e32–e47. 30 indexed citations
16.
Sista, Akhilesh K., Samuel Z. Goldhaber, Suresh Vedantham, et al.. (2016). Research Priorities in Submassive Pulmonary Embolism: Proceedings from a Multidisciplinary Research Consensus Panel. Journal of Vascular and Interventional Radiology. 27(6). 787–794. 21 indexed citations
17.
Gray, Michael P., et al.. (2015). Participant Expectations in Pulmonary Hypertension–Related Research Studies. Pulmonary Circulation. 5(2). 376–381. 1 indexed citations
19.
Gray, Michael P.. (2011). The American Military Frontiers: The United States Army in the West, 1783-1900. The Journal of Southern History. 77(2). 415.
20.
Gilson, Nicholas D., et al.. (1996). Suitability of the 20m shuttle run test for prediction of aerobic power in young children. Journal of Sports Sciences. 14(1). 1 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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