Shannon Kolind

4.5k total citations
98 papers, 3.0k citations indexed

About

Shannon Kolind is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Rheumatology. According to data from OpenAlex, Shannon Kolind has authored 98 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Radiology, Nuclear Medicine and Imaging, 46 papers in Pathology and Forensic Medicine and 13 papers in Rheumatology. Recurrent topics in Shannon Kolind's work include Advanced Neuroimaging Techniques and Applications (52 papers), Multiple Sclerosis Research Studies (44 papers) and Advanced MRI Techniques and Applications (41 papers). Shannon Kolind is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (52 papers), Multiple Sclerosis Research Studies (44 papers) and Advanced MRI Techniques and Applications (41 papers). Shannon Kolind collaborates with scholars based in Canada, United States and United Kingdom. Shannon Kolind's co-authors include Alex L. MacKay, Cornelia Laule, Irene M. Vavasour, Burkhard Mädler, David K.B. Li, Anthony Traboulsee, Sean Deoni, Lucy Matthews, George R. Moore and Roger Tam and has published in prestigious journals such as PLoS ONE, NeuroImage and Neurology.

In The Last Decade

Shannon Kolind

94 papers receiving 3.0k citations

Peers

Shannon Kolind
Seth A. Smith United States
Tobias Kober Switzerland
Gunnar Krueger Switzerland
Mary A. McLean United Kingdom
Shannon Kolind
Citations per year, relative to Shannon Kolind Shannon Kolind (= 1×) peers Irene M. Vavasour

Countries citing papers authored by Shannon Kolind

Since Specialization
Citations

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

Fields of papers citing papers by Shannon Kolind

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shannon Kolind

This figure shows the co-authorship network connecting the top 25 collaborators of Shannon Kolind. A scholar is included among the top collaborators of Shannon Kolind 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 Shannon Kolind. Shannon Kolind 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.
Dvorak, Adam, Francesco Padormo, Megan Poorman, et al.. (2025). Magnetization transfer imaging using non‐balanced SSFP at ultra‐low field. Magnetic Resonance in Medicine. 94(2). 602–614.
2.
Oh, Jiwon, Nathalie Arbour, Fabrizio Giuliani, et al.. (2024). The Canadian Prospective Cohort Study to understand progression in multiple sclerosis: baseline characteristics. Therapeutic Advances in Neurological Disorders. 17. 4233554133–4233554133. 3 indexed citations
3.
Kolind, Shannon, Laura Gaetano, Corrado Bernasconi, et al.. (2023). Ocrelizumab-treated patients with relapsing multiple sclerosis show volume loss rates similar to healthy aging. Multiple Sclerosis Journal. 29(6). 741–747. 2 indexed citations
4.
Chan, Kwok‐Shing, Adam Dvorak, José P. Marques, et al.. (2023). Applicability of multiple quantitative magnetic resonance methods in genetic brain white matter disorders. Journal of Neuroimaging. 34(1). 61–77. 3 indexed citations
5.
Joshi, Manish, et al.. (2023). Neural network algorithms predict new diffusion MRI data for multi-compartmental analysis of brain microstructure in a clinical setting. Magnetic Resonance Imaging. 102. 9–19. 1 indexed citations
6.
Vavasour, Irene M., Colm Elliott, Douglas L. Arnold, et al.. (2023). Myelin Water Fraction of Slowly Evolving Lesions is Associated With Disability in Multiple Sclerosis (P10-3.017). Neurology. 100(17_supplement_2).
7.
Wilken, Jeffrey, Anthony Traboulsee, Flavia Nelson, et al.. (2023). Longitudinal assessment of neurocognitive function in people with relapsing multiple sclerosis initiating alemtuzumab in routine clinical practice: LEM-COG study results. Multiple Sclerosis and Related Disorders. 73. 104677–104677. 5 indexed citations
8.
Vavasour, Irene M., Cornelia Laule, Roger Tam, et al.. (2022). Myelin heterogeneity for assessing normal appearing white matter myelin damage in multiple sclerosis. Journal of Neuroimaging. 33(2). 227–234. 2 indexed citations
9.
Vavasour, Irene M., Roger Tam, Cornelia Laule, et al.. (2022). Cervical Spinal Cord Atrophy can be Accurately Quantified Using Head Images. Multiple Sclerosis Journal - Experimental Translational and Clinical. 8(1). 3080433960–3080433960. 6 indexed citations
10.
Dvorak, Adam, Irene M. Vavasour, Hanwen Liu, et al.. (2021). An atlas for human brain myelin content throughout the adult life span. Scientific Reports. 11(1). 269–269. 59 indexed citations
11.
Taylor, Carolyn, Roger Tam, Robert Carruthers, et al.. (2019). Effect of different doses of gadolinium contrast agent on clinical outcomes in MS. Multiple Sclerosis Journal - Experimental Translational and Clinical. 5(1). 2453243764–2453243764. 8 indexed citations
12.
Dvorak, Adam, Emil Ljungberg, Irene M. Vavasour, et al.. (2019). Rapid myelin water imaging for the assessment of cervical spinal cord myelin damage. NeuroImage Clinical. 23. 101896–101896. 20 indexed citations
13.
Ljungberg, Emil, Dong-Myung Shin, Chase R. Figley, et al.. (2018). Inter-Vendor Reproducibility of Myelin Water Imaging Using a 3D Gradient and Spin Echo Sequence. Frontiers in Neuroscience. 12. 854–854. 25 indexed citations
14.
Kolind, Shannon, Irene M. Vavasour, Lisa Tang, et al.. (2017). Advanced Myelin-related MRI Measures in Relapsing Multiple Sclerosis Patients treated with Ocrelizumab or Interferon Beta-1a Over 96 Weeks (P6.371). Neurology. 88(16_supplement). 3 indexed citations
15.
Schubert, Julia, Erin L. MacMillan, Irene M. Vavasour, et al.. (2016). Myelin Damage in Relapsing Multiple Sclerosis Is Associated with Decreased N-Acetylaspartate and Creatine Concentrations (P4.181). Neurology. 86(16_supplement). 1 indexed citations
16.
Wright, Alexander D., Irene M. Vavasour, Elham Shahinfard, et al.. (2016). Myelin Water Fraction Is Transiently Reduced after a Single Mild Traumatic Brain Injury – A Prospective Cohort Study in Collegiate Hockey Players. PLoS ONE. 11(2). e0150215–e0150215. 63 indexed citations
17.
Manogaran, Praveena, Irene M. Vavasour, Michael R. Borich, et al.. (2015). Corticospinal tract integrity measured using transcranial magnetic stimulation and magnetic resonance imaging in neuromyelitis optica and multiple sclerosis. Multiple Sclerosis Journal. 22(1). 43–50. 15 indexed citations
18.
Kolind, Shannon, Burkhard Mädler, Stefan Fischer, David K.B. Li, & Alex L. MacKay. (2009). Myelin water imaging: Implementation and development at 3.0T and comparison to 1.5T measurements. Magnetic Resonance in Medicine. 62(1). 106–115. 60 indexed citations
19.
Whitaker, Kirstie, Shannon Kolind, Alex L. MacKay, & Campbell M. Clark. (2008). Quantifying development: Investigating highly myelinated voxels in preadolescent corpus callosum. NeuroImage. 43(4). 731–735. 18 indexed citations
20.
Kolind, Shannon, et al.. (2007). The effect of varying echo spacing within a multiecho acquisition: better characterization of long T2 components. Magnetic Resonance Imaging. 25(6). 840–847. 27 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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