Colm Elliott

1.1k total citations
33 papers, 660 citations indexed

About

Colm Elliott is a scholar working on Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Colm Elliott has authored 33 papers receiving a total of 660 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Pathology and Forensic Medicine, 11 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Molecular Biology. Recurrent topics in Colm Elliott's work include Multiple Sclerosis Research Studies (22 papers), RNA regulation and disease (6 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Colm Elliott is often cited by papers focused on Multiple Sclerosis Research Studies (22 papers), RNA regulation and disease (6 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Colm Elliott collaborates with scholars based in Canada, United States and Switzerland. Colm Elliott's co-authors include Douglas L. Arnold, Shibeshih Belachew, Corrado Bernasconi, Jerry S. Wolinsky, Ludwig Kappos, Frederik Barkhof, Stephen L. Hauser, D. Louis Collins, Tal Arbel and Wei Wei and has published in prestigious journals such as NeuroImage, Brain and Neurology.

In The Last Decade

Colm Elliott

28 papers receiving 652 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Colm Elliott Canada	13	501	163	149	125	120	33	660
Pietro Maggi Belgium	16	719 1.4×	305 1.9×	184 1.2×	233 1.9×	177 1.5×	42	1.0k
Jacqueline Durfee United States	12	510 1.0×	178 1.1×	177 1.2×	151 1.2×	164 1.4×	14	743
Mário João Fartaria Switzerland	14	307 0.6×	100 0.6×	229 1.5×	93 0.7×	68 0.6×	26	568
Loredana Storelli Italy	13	315 0.6×	105 0.6×	160 1.1×	59 0.5×	66 0.6×	37	501
Colin D. Shea United States	9	300 0.6×	103 0.6×	139 0.9×	67 0.5×	100 0.8×	11	416
Hadar Kolb Israel	11	362 0.7×	174 1.1×	89 0.6×	159 1.3×	66 0.6×	36	661
Omar Al‐Louzi United States	15	471 0.9×	128 0.8×	183 1.2×	144 1.2×	198 1.6×	27	820
Richard Grove United Kingdom	10	410 0.8×	155 1.0×	120 0.8×	125 1.0×	80 0.7×	21	747
P. D. Molyneux United Kingdom	13	789 1.6×	362 2.2×	174 1.2×	113 0.9×	300 2.5×	16	980
Sirin Gandhi United States	19	467 0.9×	499 3.1×	128 0.9×	61 0.5×	193 1.6×	82	1.2k

Countries citing papers authored by Colm Elliott

Since Specialization

Citations

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

Fields of papers citing papers by Colm Elliott

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Colm Elliott

This figure shows the co-authorship network connecting the top 25 collaborators of Colm Elliott. A scholar is included among the top collaborators of Colm Elliott 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 Colm Elliott. Colm Elliott is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Jiang, Xiaotong, Olivier Teboul, Nikos Komodakis, et al.. (2025). Deep learning detection of acute and sub-acute lesion activity from single-timepoint conventional brain MRI in multiple sclerosis. Medical Image Analysis. 105. 103619–103619.

Fadda, Giulia, Brenda Banwell, Colm Elliott, et al.. (2024). Slowly Expanding Lesions Differentiate Pediatric Multiple Sclerosis from Myelin Oligodendrocyte Glycoprotein Antibody Disease. Annals of Neurology. 96(6). 1086–1091. 2 indexed citations

Jiang, Xiaotong, Changyu Shen, Douglas L. Arnold, et al.. (2023). Assessing the utility of magnetic resonance imaging-based “SuStaIn” disease subtyping for precision medicine in relapsing-remitting and secondary progressive multiple sclerosis. Multiple Sclerosis and Related Disorders. 77. 104869–104869. 1 indexed citations

Jiang, Xiaotong, Changyu Shen, Charlotte E. Teunissen, et al.. (2023). Glial fibrillary acidic protein and multiple sclerosis progression independent of acute inflammation. Multiple Sclerosis Journal. 29(9). 1070–1079. 10 indexed citations

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

Elliott, Colm, David A. Rudko, Douglas L. Arnold, et al.. (2023). Lesion-level correspondence and longitudinal properties of paramagnetic rim and slowly expanding lesions in multiple sclerosis. Multiple Sclerosis Journal. 29(6). 680–690. 38 indexed citations

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).

Nakamura, Kunio, Colm Elliott, Hyunwoo Lee, Sridar Narayanan, & Douglas L. Arnold. (2023). Brain volume increase after discontinuing natalizumab therapy: Evidence for reversible pseudoatrophy. Multiple Sclerosis and Related Disorders. 81. 105123–105123.

Arnold, Douglas L., Colm Elliott, Dawei Liu, et al.. (2022). Single-timepoint low-dimensional characterization and classification of acute versus chronic multiple sclerosis lesions using machine learning. NeuroImage. 265. 119787–119787. 10 indexed citations

10.

Gafson, Arie, Dawei Liu, Enzo Battistella, et al.. (2022). Machine Learning-Based Prediction of New Multiple Sclerosis Lesion Formation Using Radiomic Features from Pre-Lesion Normal Appearing White Matter (S26.009). Neurology. 98(18_supplement). 1 indexed citations

11.

Arnold, Douglas L., Shibeshih Belachew, Arie Gafson, et al.. (2021). Slowly expanding lesions are a marker of progressive MS – No. Multiple Sclerosis Journal. 27(11). 1681–1683. 9 indexed citations

12.

Elliott, Colm, Douglas L. Arnold, Dawei Liu, et al.. (2021). Abnormalities in normal-appearing white matter from which multiple sclerosis lesions arise. Brain Communications. 3(3). fcab176–fcab176. 16 indexed citations

13.

Liu, Dawei, Daniel P. Bradley, Enzo Battistella, et al.. (2021). Machine Learning-Based Classification of Acute versus Chronic Multiple Sclerosis Lesions using Radiomic Features from Unenhanced Cross-Sectional Brain MRI (4121). Neurology. 96(15_supplement). 1 indexed citations

14.

Elliott, Colm, Douglas L. Arnold, Chunlei Ke, et al.. (2020). Patterning Chronic Active Demyelination in Slowly Expanding/Evolving White Matter MS Lesions. American Journal of Neuroradiology. 41(9). 1584–1591. 33 indexed citations

15.

Maranzano, Josefina, Mahsa Dadar, David A. Rudko, et al.. (2019). Comparison of Multiple Sclerosis Cortical Lesion Types Detected by Multicontrast 3T and 7T MRI. American Journal of Neuroradiology. 40(7). 1162–1169. 32 indexed citations

16.

Elliott, Colm, Jerry S. Wolinsky, Stephen L. Hauser, et al.. (2018). Ocrelizumab May Reduce Tissue Damage in Chronic Active Lesions as Measured by Change in T1 Hypo-Intensity of Slowly Evolving Lesions in Patients With Primary Progressive Multiple Sclerosis (P3.376). Neurology. 90(15_supplement).

17.

Verhey, Leonard H., Colm Elliott, Helen M. Branson, et al.. (2014). Rate of Agreement for Manual and Automated Techniques for Determination of New T2 Lesions in Children with Multiple Sclerosis and Acute Demyelination (P2.242). Neurology. 82(10_supplement). 1 indexed citations

18.

Elliott, Colm, Douglas L. Arnold, D. Louis Collins, & Tal Arbel. (2013). Temporally Consistent Probabilistic Detection of New Multiple Sclerosis Lesions in Brain MRI. IEEE Transactions on Medical Imaging. 32(8). 1490–1503. 52 indexed citations

19.

Elliott, Colm, Simon J. Francis, Douglas L. Arnold, D. Louis Collins, & Tal Arbel. (2010). Bayesian Classification of Multiple Sclerosis Lesions in Longitudinal MRI Using Subtraction Images. Lecture notes in computer science. 13(Pt 2). 290–297. 12 indexed citations

20.

Elliott, Colm, et al.. (1968). XANTHOGRANULOMATOUS PYELONEPHRITIS AND PERIRENAL XANTHOGRANULOMA1. British Journal of Urology. 40(5). 548–555. 25 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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