Thomas B. Shaw

554 total citations
22 papers, 201 citations indexed

About

Thomas B. Shaw is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Neurology. According to data from OpenAlex, Thomas B. Shaw has authored 22 papers receiving a total of 201 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cognitive Neuroscience, 7 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Neurology. Recurrent topics in Thomas B. Shaw's work include Functional Brain Connectivity Studies (7 papers), Transcranial Magnetic Stimulation Studies (4 papers) and Advanced MRI Techniques and Applications (4 papers). Thomas B. Shaw is often cited by papers focused on Functional Brain Connectivity Studies (7 papers), Transcranial Magnetic Stimulation Studies (4 papers) and Advanced MRI Techniques and Applications (4 papers). Thomas B. Shaw collaborates with scholars based in Australia, United States and Canada. Thomas B. Shaw's co-authors include Jason B. Mattingley, Paul E. Dux, Hannah L. Filmer, Sidhant Chopra, Perminder S. Sachdev, Marnie Shaw, Nicolas Cherbuin, Kaarin J. Anstey, Markus Barth and Christine C. Guo and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and NeuroImage.

In The Last Decade

Thomas B. Shaw

18 papers receiving 201 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas B. Shaw Australia 7 113 73 46 30 21 22 201
Melina Engelhardt Germany 6 124 1.1× 126 1.7× 37 0.8× 19 0.6× 17 0.8× 24 209
Ally Pax Arcari Mair United Kingdom 4 85 0.8× 56 0.8× 44 1.0× 53 1.8× 23 1.1× 7 273
Sara Ponticorvo Italy 10 79 0.7× 25 0.3× 51 1.1× 93 3.1× 19 0.9× 30 259
Lia Talozzi Italy 9 104 0.9× 22 0.3× 94 2.0× 47 1.6× 34 1.6× 22 242
Cristina Green Spain 7 181 1.6× 42 0.6× 34 0.7× 23 0.8× 51 2.4× 9 279
Carlo Rondinoni Brazil 10 158 1.4× 25 0.3× 91 2.0× 20 0.7× 51 2.4× 22 290
Luca Zigiotto Italy 9 137 1.2× 28 0.4× 98 2.1× 14 0.5× 17 0.8× 22 241
Aditya Pancholi Canada 9 93 0.8× 76 1.0× 73 1.6× 129 4.3× 11 0.5× 10 258
Yee‐Haur Mah United Kingdom 6 269 2.4× 38 0.5× 92 2.0× 28 0.9× 63 3.0× 9 379
Chun‐Yi Zac Lo China 9 103 0.9× 28 0.4× 69 1.5× 44 1.5× 50 2.4× 22 263

Countries citing papers authored by Thomas B. Shaw

Since Specialization
Citations

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

Fields of papers citing papers by Thomas B. Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas B. Shaw. 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 Thomas B. Shaw. The network helps show where Thomas B. Shaw may publish in the future.

Co-authorship network of co-authors of Thomas B. Shaw

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas B. Shaw. A scholar is included among the top collaborators of Thomas B. Shaw 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 Thomas B. Shaw. Thomas B. Shaw 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.
Zhu, Xiangyun, Sicong Tu, Shyuan T. Ngo, et al.. (2025). An Annotated Multi-Site and Multi-Contrast Magnetic Resonance Imaging Dataset for the study of the Human Tongue Musculature. Scientific Data. 12(1). 790–790.
2.
Shaw, Thomas B., et al.. (2025). Deciphering hypothalamic pathology in ALS: insights into non-motor symptoms and disease progression. EBioMedicine. 118. 105845–105845. 1 indexed citations
3.
Lv, Jinglei, Christine C. Guo, Saskia Bollmann, et al.. (2025). An fMRI dataset for appetite neural correlates in people living with Motor Neuron Disease. Scientific Data. 12(1). 466–466.
4.
Shaw, Thomas B., et al.. (2025). Reliability and Reproducibility of Metabolite Quantification Using 1H MRS in the Human Brain at 3 T and 7 T. NMR in Biomedicine. 38(8). e70087–e70087. 1 indexed citations
5.
6.
Shaw, Thomas B., Pamela McCombe, Robert D. Henderson, et al.. (2025). Appetite loss in patients with motor neuron disease: impact on weight loss and neural correlates of visual food cues. Brain Communications. 7(2). fcaf111–fcaf111. 1 indexed citations
7.
Rideaux, Reuben, Małgorzata Marjańska, Martijn A. Cloos, et al.. (2024). Neurochemical Predictors of Generalized Learning Induced by Brain Stimulation and Training. Journal of Neuroscience. 44(21). e1676232024–e1676232024. 3 indexed citations
8.
Blackmore, Daniel G., Mia A. Schaumberg, Maryam Ziaei, et al.. (2024). Long-Term Improvement in Hippocampal-Dependent Learning Ability in Healthy, Aged Individuals Following High Intensity Interval Training. Aging and Disease. 16(3). 1732–1754. 8 indexed citations
9.
Barth, Markus, Pierre‐Michel Bernier, Soumick Chatterjee, et al.. (2024). VesselBoost: A Python Toolbox for Small Blood Vessel Segmentation in Human Magnetic Resonance Angiography Data. SHILAP Revista de lepidopterología. 4.
10.
Filmer, Hannah L., Timothy Ballard, Thomas B. Shaw, et al.. (2023). Individual Differences in Decision Strategy Relate to Neurochemical Excitability and Cortical Thickness. Journal of Neuroscience. 43(42). 7006–7015. 4 indexed citations
11.
Schira, Mark M., Mustafa S. Kassem, Markus Barth, et al.. (2023). HumanBrainAtlas: an in vivo MRI dataset for detailed segmentations. Brain Structure and Function. 228(8). 1849–1863. 5 indexed citations
12.
Shaw, Thomas B., Pamela McCombe, Robert D. Henderson, et al.. (2022). Lower hypothalamic volume with lower body mass index is associated with shorter survival in patients with amyotrophic lateral sclerosis. European Journal of Neurology. 30(1). 57–68. 22 indexed citations
13.
Steyn, Frederik J., Shyuan T. Ngo, Robert D. Henderson, et al.. (2022). Open-Source Hypothalamic-ForniX (OSHy-X) Atlases andSegmentation Tool for 3T and 7T. The Journal of Open Source Software. 7(76). 4368–4368. 4 indexed citations
14.
Shaw, Thomas B., et al.. (2022). Enhanced semantic memory in a case of highly superior autobiographical memory. Cortex. 151. 1–14. 3 indexed citations
15.
Shaw, Thomas B., Ashley York, Markus Barth, & Steffen Bollmann. (2020). Towards Optimising MRI Characterisation of Tissue (TOMCAT) Dataset including all Longitudinal Automatic Segmentation of Hippocampal Subfields (LASHiS) data. SHILAP Revista de lepidopterología. 32. 106043–106043. 3 indexed citations
16.
Filmer, Hannah L., Timothy Ballard, Saskia Bollmann, et al.. (2020). Dissociable effects of tDCS polarity on latent decision processes are associated with individual differences in neurochemical concentrations and cortical morphology. Neuropsychologia. 141. 107433–107433. 18 indexed citations
17.
Shaw, Thomas B., Ashley York, Maryam Ziaei, Markus Barth, & Steffen Bollmann. (2020). Longitudinal Automatic Segmentation of Hippocampal Subfields (LASHiS) using multi-contrast MRI. NeuroImage. 218. 116798–116798. 8 indexed citations
18.
Shaw, Thomas B., Steffen Bollmann, Lachlan T. Strike, et al.. (2019). Non-linear realignment improves hippocampus subfield segmentation reliability. NeuroImage. 203. 116206–116206. 10 indexed citations
19.
Filmer, Hannah L., et al.. (2019). The efficacy of transcranial direct current stimulation to prefrontal areas is related to underlying cortical morphology. NeuroImage. 196. 41–48. 52 indexed citations
20.
Chopra, Sidhant, Marnie Shaw, Thomas B. Shaw, et al.. (2017). More highly myelinated white matter tracts are associated with faster processing speed in healthy adults. NeuroImage. 171. 332–340. 53 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Melina Engelhardt Breakdown of academic impact, for papers by Ally Pax Arcari Mair Breakdown of academic impact, for papers by Sara Ponticorvo Breakdown of academic impact, for papers by Lia Talozzi Breakdown of academic impact, for papers by Cristina Green Breakdown of academic impact, for papers by Carlo Rondinoni Breakdown of academic impact, for papers by Luca Zigiotto Breakdown of academic impact, for papers by Aditya Pancholi Breakdown of academic impact, for papers by Yee‐Haur Mah Breakdown of academic impact, for papers by Chun‐Yi Zac Lo
Rankless by CCL
2026