Grace McIlvain

471 total citations
22 papers, 327 citations indexed

About

Grace McIlvain is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Cognitive Neuroscience. According to data from OpenAlex, Grace McIlvain has authored 22 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Radiology, Nuclear Medicine and Imaging, 12 papers in Biomedical Engineering and 4 papers in Cognitive Neuroscience. Recurrent topics in Grace McIlvain's work include Ultrasound Imaging and Elastography (14 papers), Elasticity and Material Modeling (12 papers) and Advanced MRI Techniques and Applications (9 papers). Grace McIlvain is often cited by papers focused on Ultrasound Imaging and Elastography (14 papers), Elasticity and Material Modeling (12 papers) and Advanced MRI Techniques and Applications (9 papers). Grace McIlvain collaborates with scholars based in United States, United Kingdom and Canada. Grace McIlvain's co-authors include Curtis L. Johnson, Matthew McGarry, Hillary Schwarb, Eva H. Telzer, Neal J. Cohen, Keith D. Paulsen, Damian Sowinski, Jeffrey M. Spielberg, Philip V. Bayly and Henry Wright and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and NeuroImage.

In The Last Decade

Grace McIlvain

20 papers receiving 326 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Grace McIlvain United States 13 213 180 52 32 30 22 327
Laëtitia Debernard France 12 195 0.9× 184 1.0× 14 0.3× 21 0.7× 44 1.5× 13 435
Tomohiro Takamura Japan 10 194 0.9× 58 0.3× 14 0.3× 83 2.6× 40 1.3× 16 413
Gregory R. Bashford United States 11 87 0.4× 185 1.0× 35 0.7× 40 1.3× 23 0.8× 39 406
Kara Garcia United States 8 101 0.5× 63 0.3× 27 0.5× 106 3.3× 18 0.6× 20 323
Craig Goodmurphy United States 10 61 0.3× 62 0.3× 10 0.2× 18 0.6× 84 2.8× 19 413
Alice Hatt Australia 12 65 0.3× 58 0.3× 33 0.6× 82 2.6× 27 0.9× 18 360
Terry A. Gaige United States 11 73 0.3× 140 0.8× 28 0.5× 10 0.3× 9 0.3× 12 387
Jonathan Cheng United States 13 94 0.4× 118 0.7× 8 0.2× 83 2.6× 46 1.5× 29 350
Martin Aman Germany 12 109 0.5× 174 1.0× 7 0.1× 32 1.0× 42 1.4× 58 476
Arkiev D’Souza Australia 9 135 0.6× 107 0.6× 6 0.1× 82 2.6× 41 1.4× 24 350

Countries citing papers authored by Grace McIlvain

Since Specialization
Citations

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

Fields of papers citing papers by Grace McIlvain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Grace McIlvain

This figure shows the co-authorship network connecting the top 25 collaborators of Grace McIlvain. A scholar is included among the top collaborators of Grace McIlvain 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 Grace McIlvain. Grace McIlvain 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.
McIlvain, Grace, Matthew McGarry, Christopher R. Martens, et al.. (2025). Mechanical Properties of the Cortex in Older Adults and Relationships With Personality Traits. Human Brain Mapping. 46(2). e70147–e70147.
2.
3.
McIlvain, Grace, et al.. (2024). MRI-based whole-brain elastography and volumetric measurements to predict brain age. Biology Methods and Protocols. 10(1). bpae086–bpae086. 1 indexed citations
4.
McIlvain, Grace. (2024). The contributions of relative brain viscosity to brain function and health. Brain Communications. 6(6). fcae424–fcae424. 1 indexed citations
5.
McIlvain, Grace, et al.. (2024). Acute effects of high-intensity exercise on brain mechanical properties and cognitive function. Brain Imaging and Behavior. 18(4). 863–874. 4 indexed citations
6.
McIlvain, Grace, Laura L. Hayes, Andrew W. Walter, et al.. (2024). Mechanical properties of pediatric low-grade gliomas in children with and without neurofibromatosis type 1. Neuroradiology. 66(12). 2301–2311. 1 indexed citations
7.
McIlvain, Grace, Matthew McGarry, Vinay Kandula, et al.. (2023). Clinical application of magnetic resonance elastography in pediatric neurological disorders. Pediatric Radiology. 53(13). 2712–2722. 5 indexed citations
8.
Hiscox, Lucy V., Grace McIlvain, Matthew McGarry, et al.. (2023). Hippocampal subfield viscoelasticity in amnestic mild cognitive impairment evaluated with MR elastography. NeuroImage Clinical. 37. 103327–103327. 12 indexed citations
9.
McIlvain, Grace, et al.. (2022). OSCILLATE: A low‐rank approach for accelerated magnetic resonance elastography. Magnetic Resonance in Medicine. 88(4). 1659–1672. 19 indexed citations
10.
Hiscox, Lucy V., Ana M. Daugherty, Grace McIlvain, et al.. (2022). Structure–Function Dissociations of Human Hippocampal Subfield Stiffness and Memory Performance. Journal of Neuroscience. 42(42). 7957–7968. 16 indexed citations
11.
McGarry, Matthew, Elijah Van Houten, Damian Sowinski, et al.. (2022). Mapping heterogenous anisotropic tissue mechanical properties with transverse isotropic nonlinear inversion MR elastography. Medical Image Analysis. 78. 102432–102432. 28 indexed citations
12.
McGarry, Matthew, L. Williams, Grace McIlvain, et al.. (2022). Anisotropic mechanical properties in the healthy human brain estimated with multi-excitation transversely isotropic MR elastography. SHILAP Revista de lepidopterología. 3. 100051–100051. 31 indexed citations
13.
Knutsen, Andrew K., Grace McIlvain, Curtis L. Johnson, et al.. (2022). Characterization of material properties and deformation in the ANGUS phantom during mild head impacts using MRI. Journal of the mechanical behavior of biomedical materials. 138. 105586–105586. 7 indexed citations
14.
McIlvain, Grace, Julie M. Schneider, Matthew McGarry, et al.. (2022). Mapping brain mechanical property maturation from childhood to adulthood. NeuroImage. 263. 119590–119590. 20 indexed citations
15.
McIlvain, Grace, et al.. (2021). Correlated noise in brain magnetic resonance elastography. Magnetic Resonance in Medicine. 87(3). 1313–1328. 15 indexed citations
16.
McIlvain, Grace, James Tracy, Henry Wright, et al.. (2020). Brain Stiffness Relates to Dynamic Balance Reactions in Children With Cerebral Palsy. Journal of Child Neurology. 35(7). 463–471. 16 indexed citations
17.
McIlvain, Grace, et al.. (2020). Viscoelasticity of reward and control systems in adolescent risk taking. NeuroImage. 215. 116850–116850. 16 indexed citations
18.
McIlvain, Grace, et al.. (2019). Reliable preparation of agarose phantoms for use in quantitative magnetic resonance elastography. Journal of the mechanical behavior of biomedical materials. 97. 65–73. 28 indexed citations
19.
McIlvain, Grace, Henry Wright, Kenneth J. Rogers, et al.. (2019). Altered brain tissue viscoelasticity in pediatric cerebral palsy measured by magnetic resonance elastography. NeuroImage Clinical. 22. 101750–101750. 29 indexed citations
20.
McIlvain, Grace, Hillary Schwarb, Neal J. Cohen, Eva H. Telzer, & Curtis L. Johnson. (2018). Mechanical properties of the in vivo adolescent human brain. Developmental Cognitive Neuroscience. 34. 27–33. 59 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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