Stuart M. Grieve

13.3k total citations · 1 hit paper
202 papers, 9.3k citations indexed

About

Stuart M. Grieve is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Cognitive Neuroscience. According to data from OpenAlex, Stuart M. Grieve has authored 202 papers receiving a total of 9.3k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Radiology, Nuclear Medicine and Imaging, 60 papers in Cardiology and Cardiovascular Medicine and 46 papers in Cognitive Neuroscience. Recurrent topics in Stuart M. Grieve's work include Functional Brain Connectivity Studies (42 papers), Advanced MRI Techniques and Applications (42 papers) and Advanced Neuroimaging Techniques and Applications (37 papers). Stuart M. Grieve is often cited by papers focused on Functional Brain Connectivity Studies (42 papers), Advanced MRI Techniques and Applications (42 papers) and Advanced Neuroimaging Techniques and Applications (37 papers). Stuart M. Grieve collaborates with scholars based in Australia, United States and United Kingdom. Stuart M. Grieve's co-authors include Leanne M. Williams, Mayuresh S. Korgaonkar, Evian Gordon, Robert Paul, Christopher Clark, Stephen H. Koslow, Amit Etkin, Ronald A. Cohen, Adam M. Brickman and Gemma A. Figtree and has published in prestigious journals such as Circulation, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Stuart M. Grieve

196 papers receiving 9.2k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Identification of a Common Neurobiological Substrate for Mental Illness

2015 905 citations Mayuresh S. Korgaonkar, Stuart M. Grieve et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Stuart M. Grieve	3.5k	2.6k	1.3k	1.3k	1.1k	202	9.3k
Cheuk Y. Tang	4.1k 1.1×	2.3k 0.9×	2.0k 1.5×	489 0.4×	1.0k 0.9×	154	9.0k
Adrian P. Crawley	4.7k 1.3×	3.1k 1.2×	1.3k 1.0×	778 0.6×	895 0.8×	150	10.6k
Jonathan H. Burdette	6.2k 1.8×	2.7k 1.1×	1.7k 1.2×	448 0.4×	2.2k 1.9×	114	11.4k
Anderson M. Winkler	5.1k 1.4×	3.1k 1.2×	1.5k 1.2×	337 0.3×	1.2k 1.1×	112	9.0k
Ching‐Po Lin	5.6k 1.6×	3.7k 1.4×	2.5k 1.9×	423 0.3×	1.1k 1.0×	321	11.7k
Michael A. Kraut	3.9k 1.1×	2.3k 0.9×	2.1k 1.6×	979 0.8×	568 0.5×	178	10.7k
Wen Qin	5.1k 1.4×	3.2k 1.2×	1.0k 0.8×	432 0.3×	1.1k 0.9×	281	9.2k
Lawrence H. Staib	3.8k 1.1×	3.1k 1.2×	1.5k 1.2×	486 0.4×	852 0.7×	220	14.2k
Andrew Webb	3.3k 0.9×	7.1k 2.7×	1.2k 0.9×	1.0k 0.8×	876 0.8×	446	16.7k
Danny J.J. Wang	4.4k 1.3×	8.7k 3.3×	1.1k 0.8×	1.2k 0.9×	690 0.6×	308	15.0k

Countries citing papers authored by Stuart M. Grieve

Since Specialization

Citations

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

Fields of papers citing papers by Stuart M. Grieve

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stuart M. Grieve. 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 Stuart M. Grieve. The network helps show where Stuart M. Grieve may publish in the future.

Co-authorship network of co-authors of Stuart M. Grieve

This figure shows the co-authorship network connecting the top 25 collaborators of Stuart M. Grieve. A scholar is included among the top collaborators of Stuart M. Grieve 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 Stuart M. Grieve. Stuart M. Grieve 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

1.

Schillereff, Daniel, et al.. (2024). PyShoreVolume 1.0.0: A Python based Shoreline Change and beach Volumetric Change Analysis tool. Computers & Geosciences. 187. 105591–105591. 1 indexed citations

2.

Figtree, Gemma A., Michael P. Feneley, Stuart M. Grieve, et al.. (2024). Correlation of Noninvasive Cardiac MRI Measures of Left Ventricular Myocardial Function and Invasive Pressure-Volume Parameters in a Porcine Ischemia-Reperfusion Model. Radiology Cardiothoracic Imaging. 6(3). e230252–e230252. 1 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.

Vernon, Stephen T., et al.. (2024). Expression of Myeloperoxidase in Patient-Derived Endothelial Colony-Forming Cells—Associations with Coronary Artery Disease and Mitochondrial Function. Biomolecules. 14(10). 1308–1308. 2 indexed citations

5.

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

6.

Evin, Morgane, et al.. (2022). MRI Assessment of the Bi-Leaflet Mechanical Heart Valve: Investigating the EOA Using the Acoustic Source Term Method. Applied Sciences. 12(22). 11771–11771. 1 indexed citations

7.

Coorey, Genevieve, Gemma A. Figtree, David F. Fletcher, et al.. (2022). The health digital twin to tackle cardiovascular disease—a review of an emerging interdisciplinary field. npj Digital Medicine. 5(1). 126–126. 167 indexed citations

8.

Kim, Tai-Yun, Owen Tang, Stephen T. Vernon, et al.. (2021). A hierarchical approach to removal of unwanted variation for large-scale metabolomics data. Nature Communications. 12(1). 4992–4992. 28 indexed citations

9.

Vernon, Stephen T., Owen Tang, Tai-Yun Kim, et al.. (2021). Metabolic Signatures in Coronary Artery Disease: Results from the BioHEART-CT Study. Cells. 10(5). 980–980. 17 indexed citations

10.

Besnier, Marie, Christine Yu, Katharine A. Kott, et al.. (2021). Patient Endothelial Colony-Forming Cells to Model Coronary Artery Disease Susceptibility and Unravel the Role of Dysregulated Mitochondrial Redox Signalling. Antioxidants. 10(10). 1547–1547. 10 indexed citations

11.

Hellewell, Sarah C., et al.. (2020). Characteristic patterns of white matter tract injury in sport-related concussion: An image based meta-analysis. NeuroImage Clinical. 26. 102253–102253. 12 indexed citations

12.

Verrall, Charlotte E., Joseph Yuan‐Mou Yang, Jian Chen, et al.. (2020). Neurocognitive Dysfunction and Smaller Brain Volumes in Adolescents and Adults With a Fontan Circulation. Circulation. 143(9). 878–891. 25 indexed citations

13.

Maller, Jerome J., et al.. (2019). Revealing the Hippocampal Connectome through Super-Resolution 1150-Direction Diffusion MRI. Scientific Reports. 9(1). 2418–2418. 80 indexed citations

14.

Zhong, Liang, Eric Schrauben, Julio García, et al.. (2019). Intracardiac 4D Flow MRI in Congenital Heart Disease: Recommendations on Behalf of the ISMRM Flow & Motion Study Group. Journal of Magnetic Resonance Imaging. 50(3). 677–681. 38 indexed citations

15.

Welton, Thomas, Jerome J. Maller, Kathryn M. Broadhouse, et al.. (2019). Gender-specific structural abnormalities in major depressive disorder revealed by fixel-based analysis. NeuroImage Clinical. 21. 101668–101668. 25 indexed citations

16.

Zhong, Liang, Eric Schrauben, Julio García, et al.. (2019). Intracardiac 4D Flow MRI in Congenital Heart Disease: Recommendations on Behalf of the ISMRM Flow & Motion Study Group. Journal of Magnetic Resonance Imaging. 50(3). 25 indexed citations

17.

Bonnitcha, Paul, Stuart M. Grieve, & Gemma A. Figtree. (2018). Clinical imaging of hypoxia: Current status and future directions. Free Radical Biology and Medicine. 126. 296–312. 34 indexed citations

18.

Broadhouse, Kathryn M., et al.. (2017). 4D flow magnetic resonance imaging: role in pediatric congenital heart disease. Asian Cardiovascular and Thoracic Annals. 26(1). 28–37. 31 indexed citations

19.

O’Neill, Edward, Amandeep Kaur, David Bishop, et al.. (2017). Hypoxia-Responsive Cobalt Complexes in Tumor Spheroids: Laser Ablation Inductively Coupled Plasma Mass Spectrometry and Magnetic Resonance Imaging Studies. Inorganic Chemistry. 56(16). 9860–9868. 31 indexed citations

20.

McLaughlin, Nicole, Robert Paul, Stuart M. Grieve, et al.. (2007). Diffusion tensor imaging of the corpus callosum: a cross‐sectional study across the lifespan. International Journal of Developmental Neuroscience. 25(4). 215–221. 72 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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