Sridar Narayanan

10.2k total citations · 1 hit paper
136 papers, 6.5k citations indexed

About

Sridar Narayanan is a scholar working on Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging and Rheumatology. According to data from OpenAlex, Sridar Narayanan has authored 136 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 101 papers in Pathology and Forensic Medicine, 52 papers in Radiology, Nuclear Medicine and Imaging and 32 papers in Rheumatology. Recurrent topics in Sridar Narayanan's work include Multiple Sclerosis Research Studies (100 papers), Advanced Neuroimaging Techniques and Applications (29 papers) and Systemic Lupus Erythematosus Research (24 papers). Sridar Narayanan is often cited by papers focused on Multiple Sclerosis Research Studies (100 papers), Advanced Neuroimaging Techniques and Applications (29 papers) and Systemic Lupus Erythematosus Research (24 papers). Sridar Narayanan collaborates with scholars based in Canada, United States and United Kingdom. Sridar Narayanan's co-authors include Douglas L. Arnold, Jack P. Antel, Nicola De Stefano, Paul M. Matthews, D. Louis Collins, G. Bruce Pike, Maria Carmela Tartaglia, John G. Sled, Brenda Banwell and Zografos Caramanos and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Sridar Narayanan

129 papers receiving 6.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Identifying multiple sclerosis subtypes using unsupervised machine learning and MRI data

2021 142 citations Arman Eshaghi, Alexandra L. Young et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sridar Narayanan Canada	48	4.3k	2.0k	1.6k	971	843	136	6.5k
Daniel R. Altmann United Kingdom	40	4.3k 1.0×	2.0k 1.0×	1.5k 0.9×	1.4k 1.4×	927 1.1×	88	6.9k
Declan Chard United Kingdom	45	5.1k 1.2×	2.4k 1.2×	1.7k 1.1×	1.5k 1.6×	879 1.0×	149	6.9k
Michael G. Dwyer United States	50	5.2k 1.2×	1.8k 0.9×	2.6k 1.6×	1.4k 1.4×	870 1.0×	285	7.8k
Martina Absinta Italy	43	3.4k 0.8×	1.4k 0.7×	1.5k 0.9×	653 0.7×	905 1.1×	104	5.7k
Niels Bergsland United States	46	4.6k 1.1×	1.7k 0.8×	2.2k 1.4×	1.3k 1.3×	1.0k 1.2×	315	7.0k
Nikos Evangelou United Kingdom	37	4.3k 1.0×	1.4k 0.7×	1.8k 1.1×	1.1k 1.1×	819 1.0×	127	5.7k
Daniel Pelletier United States	39	3.5k 0.8×	1.4k 0.7×	1.0k 0.6×	718 0.7×	916 1.1×	104	5.8k
Elisabetta Pagani Italy	49	3.2k 0.8×	2.6k 1.3×	1.8k 1.1×	649 0.7×	538 0.6×	174	6.3k
Massimiliano Calabrese Italy	46	5.7k 1.3×	1.3k 0.6×	2.2k 1.4×	1.6k 1.6×	881 1.0×	162	6.9k
Jens Wuerfel Germany	46	2.9k 0.7×	1.7k 0.8×	1.7k 1.0×	779 0.8×	779 0.9×	143	6.3k

Countries citing papers authored by Sridar Narayanan

Since Specialization

Citations

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

Fields of papers citing papers by Sridar Narayanan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sridar Narayanan

This figure shows the co-authorship network connecting the top 25 collaborators of Sridar Narayanan. A scholar is included among the top collaborators of Sridar Narayanan 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 Sridar Narayanan. Sridar Narayanan 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

Hosein, Chris, Rozie Arnaoutelis, David Araújo, et al.. (2025). Investigating the oxidative stress–vascular brain injury axis in mild cognitive impairment of the Alzheimer's type. Alzheimer s & Dementia. 21(9). e70456–e70456.

Alves, Cesar, Julia O’Mahony, E. Ann Yeh, et al.. (2025). Spinal Cord Leptomeningeal Enhancement as a Marker of Extensive Spinal Cord Involvement in Children With MOGAD. Neurology Neuroimmunology & Neuroinflammation. 13(1). e200449–e200449.

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

Medeiros, Cynthia de, Sridar Narayanan, Douglas L. Arnold, et al.. (2024). Compensatory mechanisms amidst demyelinating disorders: insights into cognitive preservation. Brain Communications. 6(6). fcae353–fcae353. 2 indexed citations

Fadda, Giulia, Julia O’Mahony, Patrick Waters, et al.. (2023). Deviation From Normative Whole Brain and Deep Gray Matter Growth in Children With MOGAD, MS, and Monophasic Seronegative Demyelination. Neurology. 101(4). e425–e437. 9 indexed citations

Dadar, Mahsa, Sawsan M. Mahmoud, Sridar Narayanan, et al.. (2021). Diffusely abnormal white matter converts to T2 lesion volume in the absence of MRI-detectable acute inflammation. Brain. 145(6). 2008–2017. 7 indexed citations

Narayanan, Sridar, et al.. (2021). Mental health outcomes among early-entrance to college students: A cross-sectional study of an emerging educational system in the united states. European Psychiatry. 64(S1). S399–S399.

Stutters, Jonathan, Carmen Tur, Sridar Narayanan, et al.. (2021). Predicting disability progression and cognitive worsening in multiple sclerosis using patterns of grey matter volumes. Journal of Neurology Neurosurgery & Psychiatry. 92(9). 995–1006. 32 indexed citations

Eshaghi, Arman, Alexandra L. Young, P. A. Wijeratne, et al.. (2021). Identifying multiple sclerosis subtypes using unsupervised machine learning and MRI data. Nature Communications. 12(1). 2078–2078. 142 indexed citations breakdown →

10.

Dadar, Mahsa, Sridar Narayanan, Douglas L. Arnold, D. Louis Collins, & Josefina Maranzano. (2020). Conversion of diffusely abnormal white matter to focal lesions is linked to progression in secondary progressive multiple sclerosis. Multiple Sclerosis Journal. 27(2). 208–219. 18 indexed citations

11.

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

12.

Rao, Stephen M., Lyla Mourany, David Schindler, et al.. (2017). Processing speed test: Validation of a self-administered, iPad ^® -based tool for screening cognitive dysfunction in a clinic setting. Multiple Sclerosis Journal. 23(14). 1929–1937. 117 indexed citations

13.

Aubert-Broche, Bérengère, Katrin Weier, Giulia Longoni, et al.. (2017). Monophasic demyelination reduces brain growth in children. Neurology. 88(18). 1744–1750. 35 indexed citations

14.

Maranzano, Josefina, David A. Rudko, Kunio Nakamura, et al.. (2017). MRI evidence of acute inflammation in leukocortical lesions of patients with early multiple sclerosis. Neurology. 89(7). 714–721. 13 indexed citations

15.

Maranzano, Josefina, David A. Rudko, Douglas L. Arnold, & Sridar Narayanan. (2016). Manual Segmentation of MS Cortical Lesions Using MRI: A Comparison of 3 MRI Reading Protocols. American Journal of Neuroradiology. 37(9). 1623–1628. 14 indexed citations

16.

Rudko, David A., et al.. (2016). Delineation of cortical pathology in multiple sclerosis using multi-surface magnetization transfer ratio imaging. NeuroImage Clinical. 12. 858–868. 8 indexed citations

17.

Kerbrat, Anne, Bérengère Aubert-Broche, Vladimir Fonov, et al.. (2012). Reduced head and brain size for age and disproportionately smaller thalami in child-onset MS. Neurology. 78(3). 194–201. 69 indexed citations

18.

Till, Christine, Rezwan Ghassemi, Bérengère Aubert-Broche, et al.. (2011). MRI correlates of cognitive impairment in childhood-onset multiple sclerosis.. Neuropsychology. 25(3). 319–332. 116 indexed citations

19.

Arnold, Douglas L., Catherine M. Dalton, Sridar Narayanan, et al.. (2010). Magnetization Transfer Ratio Imaging Is Feasible in Large Multicenter MS Trials. UCL Discovery (University College London). 1 indexed citations

20.

Corkill, Robin, Andrew M. Blamire, J Palace, et al.. (2002). beta-interferon treatment does not immediately slow the progression of axonal injury in multiple sclerosis. Journal of Neurology Neurosurgery & Psychiatry. 73. 214–214. 1 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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