Fred Tam

1.8k total citations
56 papers, 1.2k citations indexed

About

Fred Tam is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Neurology. According to data from OpenAlex, Fred Tam has authored 56 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Cognitive Neuroscience, 24 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Neurology. Recurrent topics in Fred Tam's work include Advanced MRI Techniques and Applications (22 papers), Functional Brain Connectivity Studies (20 papers) and Advanced Neuroimaging Techniques and Applications (14 papers). Fred Tam is often cited by papers focused on Advanced MRI Techniques and Applications (22 papers), Functional Brain Connectivity Studies (20 papers) and Advanced Neuroimaging Techniques and Applications (14 papers). Fred Tam collaborates with scholars based in Canada, United States and China. Fred Tam's co-authors include Simon J. Graham, Tom A. Schweizer, Nathan W. Churchill, Stephen C. Strother, Cathy Nangini, Yuwen Hung, Richard Staines, Gary Naglie, Nicole M. Baker and Corinne E. Fischer and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and NeuroImage.

In The Last Decade

Fred Tam

54 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fred Tam Canada 21 785 354 119 107 95 56 1.2k
Cheol E. Han South Korea 20 910 1.2× 326 0.9× 135 1.1× 105 1.0× 302 3.2× 50 1.5k
Sylvain Charron France 17 661 0.8× 136 0.4× 84 0.7× 154 1.4× 112 1.2× 38 1.2k
Simone Cutini Italy 21 913 1.2× 749 2.1× 105 0.9× 130 1.2× 151 1.6× 59 1.7k
Thomas M.H. Hope United Kingdom 19 1.0k 1.3× 304 0.9× 113 0.9× 104 1.0× 149 1.6× 47 1.4k
Joana Bisol Balardin Brazil 17 564 0.7× 348 1.0× 113 0.9× 134 1.3× 199 2.1× 55 1.1k
Michelle Yan United States 9 561 0.7× 481 1.4× 67 0.6× 154 1.4× 256 2.7× 17 1.3k
Ryuta Kawashima Japan 17 705 0.9× 237 0.7× 176 1.5× 113 1.1× 67 0.7× 63 1.1k
Benjamin Xu United States 17 981 1.2× 160 0.5× 137 1.2× 116 1.1× 224 2.4× 20 1.3k
Clarisse Aichelburg United Kingdom 10 756 1.0× 654 1.8× 141 1.2× 162 1.5× 57 0.6× 13 1.3k
Li Dong China 20 1.1k 1.4× 264 0.7× 61 0.5× 210 2.0× 208 2.2× 58 1.3k

Countries citing papers authored by Fred Tam

Since Specialization
Citations

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

Fields of papers citing papers by Fred Tam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fred Tam

This figure shows the co-authorship network connecting the top 25 collaborators of Fred Tam. A scholar is included among the top collaborators of Fred Tam 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 Fred Tam. Fred Tam 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.
Yang, Yang, Junjun Li, Fred Tam, et al.. (2023). Lateralized Functional Connectivity of the Sensorimotor Cortex and its Variations During Complex Visuomotor Tasks. Journal of Neuroscience. 44(5). e0723232023–e0723232023. 1 indexed citations
2.
Tam, Fred, Nathan W. Churchill, Fa‐Hsuan Lin, et al.. (2021). Trail Making Test Performance Using a Touch-Sensitive Tablet: Behavioral Kinematics and Electroencephalography. Frontiers in Human Neuroscience. 15. 663463–663463. 10 indexed citations
3.
Tam, Fred, et al.. (2021). Driving With Distraction: Measuring Brain Activity and Oculomotor Behavior Using fMRI and Eye-Tracking. Frontiers in Human Neuroscience. 15. 659040–659040. 9 indexed citations
4.
Garbens, Alaina, Marisa Louridas, Fred Tam, et al.. (2019). Brain activation during laparoscopic tasks in high- and low-performing medical students: a pilot fMRI study. Surgical Endoscopy. 34(11). 4837–4845. 6 indexed citations
5.
Tam, Fred, Yuexi Huang, Michael L. Schwartz, et al.. (2017). A computerized tablet system for evaluating treatment of essential tremor by magnetic resonance guided focused ultrasound. BMC Neurology. 17(1). 74–74. 6 indexed citations
6.
Arulkumaran, Nishkantha, Elisa Jentho, Paul Bass, et al.. (2017). Sequential Analysis of a Panel of Biomarkers and Pathologic Findings in a Resuscitated Rat Model of Sepsis and Recovery. Critical Care Medicine. 45(8). e821–e830. 20 indexed citations
7.
8.
Morrison, Melanie A., Fred Tam, Gregory M. T. Hare, et al.. (2016). Sources of Variation Influencing Concordance between Functional MRI and Direct Cortical Stimulation in Brain Tumor Surgery. Frontiers in Neuroscience. 10. 461–461. 17 indexed citations
9.
Tam, Fred, et al.. (2016). Interactions between head motion and coil sensitivity in accelerated fMRI. Journal of Neuroscience Methods. 270. 46–60. 12 indexed citations
10.
Tam, Fred, et al.. (2016). A robust method for suppressing motion-induced coil sensitivity variations during prospective correction of head motion in fMRI. Magnetic Resonance Imaging. 34(8). 1206–1219. 19 indexed citations
11.
Hung, Yuwen, Megan A. Hird, Fred Tam, et al.. (2013). Using fMRI virtual-reality technology to predict driving ability after brain damage: A preliminary report. Neuroscience Letters. 558. 41–46. 8 indexed citations
12.
Garbarini, Francesca, Federico D’Agata, Alessandro Piedimonte, et al.. (2013). Drawing lines while imagining circles: Neural basis of the bimanual coupling effect during motor execution and motor imagery. NeuroImage. 88. 100–112. 35 indexed citations
13.
Rotenberg, David, et al.. (2012). Real‐time correction by optical tracking with integrated geometric distortion correction for reducing motion artifacts in functional MRI. Magnetic Resonance in Medicine. 69(3). 734–748. 18 indexed citations
14.
Churchill, Nathan W., Hervé Abdi, Fred Tam, et al.. (2011). Optimizing preprocessing and analysis pipelines for single‐subject fMRI. I. Standard temporal motion and physiological noise correction methods. Human Brain Mapping. 33(3). 609–627. 80 indexed citations
15.
Rotenberg, David, Fred Tam, Mark Chiew, et al.. (2011). Spin‐history artifact during functional MRI: Potential for adaptive correction. Medical Physics. 38(8). 4634–4646. 38 indexed citations
16.
Chiew, Mark, et al.. (2010). Multiecho coarse voxel acquisition for neurofeedback fMRI. Magnetic Resonance in Medicine. 65(3). 715–724. 4 indexed citations
17.
Tam, Fred, Nathan W. Churchill, Stephen C. Strother, & Simon J. Graham. (2010). A new tablet for writing and drawing during functional MRI. Human Brain Mapping. 32(2). 240–248. 67 indexed citations
18.
Nangini, Cathy, et al.. (2006). Magnetoencephalographic study of vibrotactile evoked transient and steady-state responses in human somatosensory cortex. NeuroImage. 33(1). 252–262. 63 indexed citations
19.
Nangini, Cathy, Bradley J. MacIntosh, Fred Tam, Richard Staines, & Simon J. Graham. (2005). Assessing linear time‐invariance in human primary somatosensory cortex with BOLD fMRI using vibrotactile stimuli. Magnetic Resonance in Medicine. 53(2). 304–311. 9 indexed citations
20.
Alain, Claude, Karen S. Reinke, Kelly L. McDonald, et al.. (2005). Left thalamo-cortical network implicated in successful speech separation and identification. NeuroImage. 26(2). 592–599. 55 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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