Shawna Farquharson

1.2k total citations · 1 hit paper
20 papers, 828 citations indexed

About

Shawna Farquharson is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Shawna Farquharson has authored 20 papers receiving a total of 828 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Cognitive Neuroscience and 6 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Shawna Farquharson's work include Advanced Neuroimaging Techniques and Applications (10 papers), Advanced MRI Techniques and Applications (7 papers) and Functional Brain Connectivity Studies (5 papers). Shawna Farquharson is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (10 papers), Advanced MRI Techniques and Applications (7 papers) and Functional Brain Connectivity Studies (5 papers). Shawna Farquharson collaborates with scholars based in Australia, United Kingdom and United States. Shawna Farquharson's co-authors include Alan Connelly, Graeme D. Jackson, Jacques‐Donald Tournier, Fernando Calamante, Michal Schneider, Gavin Fabinyi, Christopher C. Rowe, Colin L. Masters, Victor L. Villemagne and Rojana Sirisriro and has published in prestigious journals such as SHILAP Revista de lepidopterología, NeuroImage and Brain.

In The Last Decade

Shawna Farquharson

19 papers receiving 819 citations

Hit Papers

White matter fiber tractography: why we need to move beyo... 2013 2026 2017 2021 2013 100 200 300

Peers

Shawna Farquharson
Samantha M. Zuk United States
Heidi Gröhn Finland
Bhaswati Roy United States
Neda Sadeghi United States
Samantha M. Zuk United States
Shawna Farquharson
Citations per year, relative to Shawna Farquharson Shawna Farquharson (= 1×) peers Samantha M. Zuk

Countries citing papers authored by Shawna Farquharson

Since Specialization
Citations

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

Fields of papers citing papers by Shawna Farquharson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shawna Farquharson

This figure shows the co-authorship network connecting the top 25 collaborators of Shawna Farquharson. A scholar is included among the top collaborators of Shawna Farquharson 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 Shawna Farquharson. Shawna Farquharson 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.
Dell’Acqua, Flavio, Alexander Leemans, Fan Zhang, et al.. (2025). The tractographer’s dilemma: understanding sources of variability in tractography. Brain Structure and Function. 230(6). 99–99. 1 indexed citations
2.
Islam, Kh Tohidul, Shenjun Zhong, Helen Kavnoudias, et al.. (2025). AI improves consistency in regional brain volumes measured in ultra-low-field MRI and 3T MRI. PubMed. 4. 1588487–1588487. 1 indexed citations
3.
Islam, Kh Tohidul, Shenjun Zhong, Zhifeng Chen, et al.. (2023). Improving portable low-field MRI image quality through image-to-image translation using paired low- and high-field images. Scientific Reports. 13(1). 21183–21183. 18 indexed citations
4.
Lim, Ruth, Jeremy C. Lim, Jose R. Teruel, et al.. (2021). Geometric Distortion Correction of Renal Diffusion Tensor Imaging Using the Reversed Gradient Method. Journal of Computer Assisted Tomography. 45(2). 218–223. 4 indexed citations
5.
Ordidge, Roger J., et al.. (2020). Ultra‐high‐field MRI using composite RF (STEP) pulses. NMR in Biomedicine. 34(2). e4445–e4445.
7.
Fuelscher, Ian, Karen Caeyenberghs, Peter G. Enticott, et al.. (2019). Does fMRI repetition suppression reveal mirror neuron activity in the human brain? Insights from univariate and multivariate analysis. European Journal of Neuroscience. 50(5). 2877–2892. 12 indexed citations
8.
Jackson, Graeme D., Michael Makdissi, Mangor Pedersen, et al.. (2019). Functional brain effects of acute concussion in Australian rules football players. SHILAP Revista de lepidopterología. 3. 7 indexed citations
9.
Hyde, Christian, Ian Fuelscher, Peter G. Enticott, et al.. (2018). White matter organization in developmental coordination disorder: A pilot study exploring the added value of constrained spherical deconvolution. NeuroImage Clinical. 21. 101625–101625. 21 indexed citations
10.
Yoo, Peter E., Sam E. John, Shawna Farquharson, et al.. (2017). 7T-fMRI: Faster temporal resolution yields optimal BOLD sensitivity for functional network imaging specifically at high spatial resolution. NeuroImage. 164. 214–229. 29 indexed citations
11.
Ayton, Scott, Amir Fazlollahi, Pierrick Bourgeat, et al.. (2017). Cerebral quantitative susceptibility mapping predicts amyloid-β-related cognitive decline. Brain. 140(8). 2112–2119. 217 indexed citations
12.
O’Donoghue, Fergal J., Hailey Meaklim, Lynne E. Bilston, et al.. (2017). Magnetic resonance imaging of the upper airway in patients with quadriplegia and obstructive sleep apnea. Journal of Sleep Research. 27(4). e12616–e12616. 4 indexed citations
13.
Farquharson, Shawna, Jacques‐Donald Tournier, Fernando Calamante, et al.. (2016). Periventricular Nodular Heterotopia: Detection of Abnormal Microanatomic Fiber Structures with Whole-Brain Diffusion MR Imaging Tractography. Radiology. 281(3). 896–906. 18 indexed citations
14.
Rusinek, Henry, Jeremy C. Lim, Nicole Wake, et al.. (2015). A semi-automated “blanket” method for renal segmentation from non-contrast T1-weighted MR images. Magnetic Resonance Materials in Physics Biology and Medicine. 29(2). 197–206. 6 indexed citations
15.
Pardoe, Heath, Gary Cutter, Mira Semmelroch, et al.. (2015). Pooling Morphometric Estimates: A Statistical Equivalence Approach. Journal of Neuroimaging. 26(1). 109–115. 5 indexed citations
16.
Farquharson, Shawna, Jacques‐Donald Tournier, Fernando Calamante, et al.. (2013). White matter fiber tractography: why we need to move beyond DTI. Journal of neurosurgery. 118(6). 1367–1377. 328 indexed citations breakdown →
17.
Carey, Leeanne M., Rüdiger J. Seitz, Mark Parsons, et al.. (2013). Beyond the Lesion: Neuroimaging Foundations For Post-Stroke Recovery. Future Neurology. 8(5). 507–527. 29 indexed citations
18.
Yates, Paul, Rojana Sirisriro, Victor L. Villemagne, et al.. (2011). Cerebral microhemorrhage and brain β-amyloid in aging and Alzheimer disease. Neurology. 77(1). 48–54. 106 indexed citations
19.
Saling, Michael M., et al.. (2009). The neural architecture of discourse compression. Neuropsychologia. 48(4). 873–879. 13 indexed citations
20.
Farquharson, Shawna. (1972). Poisoning by tricyclic drugs.. BMJ. 1(5796). 378.1–378. 3 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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