Sridar Narayanan

10.2k citations

136 papers · 6.5k indexed · 1 hit paper · h-index 48

Pathology and Forensic Medicine top 0.1%
Radiology, Nuclear Medicine and Imaging top 0.5%
Neurology top 0.5%
Rheumatology top 1%
Molecular Biology top 10%

Co-authors: Douglas L. Arnold Jack P. Antel Nicola De Stefano Paul M. Matthews D. Louis Collins G. Bruce Pike Maria Carmela Tartaglia John G. Sled
Topics: Multiple Sclerosis Research Studies (100 papers)Advanced Neuroimaging Techniques and Applications (29 papers)Systemic Lupus Erythematosus Research (24 papers)
Cited by: Pathology and Forensic Medicine Developmental Neuroscience Neurology
Journals: Nature Communications Journal of Neuroscience PLoS ONE
Partner nations: Canada United States United Kingdom

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

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Investigating the oxidative stress–vascular brain injury axis in mild cognitive impairment of the Alzheimer's type 2025 ·Alzheimer s & Dementia ·(unknown),(unknown),(unknown),Chris Hosein,Rozie Arnaoutelis,David Araújo,Dumitru Fetco,(unknown),Samson Antel,Douglas L. Arnold,Jamie Near,Hyman M. Schipper,AmanPreet Badhwar,Sridar Narayanan	0
2	Spinal Cord Leptomeningeal Enhancement as a Marker of Extensive Spinal Cord Involvement in Children With MOGAD 2025 ·Neurology Neuroimmunology & Neuroinflammation ·(unknown),Cesar Alves,Julia O’Mahony,E. Ann Yeh,Ruth Ann Marrie,Sridar Narayanan,Patrick Waters,Alberto Gajofatto,Amit Bar‐Or,Brenda Banwell,Giulia Fadda,(unknown)	0
3	Slowly Expanding Lesions Differentiate Pediatric Multiple Sclerosis from Myelin Oligodendrocyte Glycoprotein Antibody Disease 2024 ·Annals of Neurology ·Giulia Fadda,Brenda Banwell,Colm Elliott,Dumitru Fetco,Douglas L. Arnold,Patrick Waters,Eric Yeh,Ruth Ann Marrie,Amit Bar‐Or,Sridar Narayanan,(unknown)	2
4	Compensatory mechanisms amidst demyelinating disorders: insights into cognitive preservation 2024 ·Brain Communications ·(unknown),(unknown),Cynthia de Medeiros,Sridar Narayanan,Douglas L. Arnold,Brian C. Coe,Douglas P. Munoz,E. Ann Yeh,Donald Mabbott	2
5	Deviation From Normative Whole Brain and Deep Gray Matter Growth in Children With MOGAD, MS, and Monophasic Seronegative Demyelination 2023 ·Neurology ·Giulia Fadda,(unknown),Julia O’Mahony,Patrick Waters,E. Ann Yeh,Amit Bar‐Or,Ruth Ann Marrie,Sridar Narayanan,Douglas L. Arnold,D. Louis Collins,Brenda Banwell,(unknown)	9
6	Diffusely abnormal white matter converts to T2 lesion volume in the absence of MRI-detectable acute inflammation 2021 ·Brain ·Mahsa Dadar,Sawsan M. Mahmoud,Sridar Narayanan,D. Louis Collins,Douglas L. Arnold,Josefina Maranzano	7
7	Mental health outcomes among early-entrance to college students: A cross-sectional study of an emerging educational system in the united states 2021 ·European Psychiatry ·(unknown),(unknown),(unknown),(unknown),Sridar Narayanan,Jinwon Kim,Jianwei Jiao	0
8	Predicting disability progression and cognitive worsening in multiple sclerosis using patterns of grey matter volumes 2021 ·Journal of Neurology Neurosurgery & Psychiatry ·(unknown),Jonathan Stutters,Carmen Tur,Sridar Narayanan,Douglas L. Arnold,Claudia A. M. Gandini Wheeler‐Kingshott,Frederik Barkhof,Olga Ciccarelli,Declan Chard,Arman Eshaghi	32
9	Identifying multiple sclerosis subtypes using unsupervised machine learning and MRI databreakdown → 2021 ·Nature Communications ·Arman Eshaghi,Alexandra L. Young,P. A. Wijeratne,Ferrán Prados,Douglas L. Arnold,Sridar Narayanan,Charles R.G. Guttmann,Frederik Barkhof,Daniel C. Alexander,Alan J. Thompson,Declan Chard,Olga Ciccarelli	142
10	Conversion of diffusely abnormal white matter to focal lesions is linked to progression in secondary progressive multiple sclerosis 2020 ·Multiple Sclerosis Journal ·Mahsa Dadar,Sridar Narayanan,Douglas L. Arnold,D. Louis Collins,Josefina Maranzano	18
11	Comparison of Multiple Sclerosis Cortical Lesion Types Detected by Multicontrast 3T and 7T MRI 2019 ·American Journal of Neuroradiology ·Josefina Maranzano,Mahsa Dadar,David A. Rudko,Dante De Nigris,Colm Elliott,Joseph S. Gati,Sarah A. Morrow,Ravi S. Menon,D. Louis Collins,Douglas L. Arnold,Sridar Narayanan	32
12	Processing speed test: Validation of a self-administered, iPad ^® -based tool for screening cognitive dysfunction in a clinic setting 2017 ·Multiple Sclerosis Journal ·Stephen M. Rao,(unknown),Lyla Mourany,David Schindler,(unknown),Christine Reece,(unknown),Sridar Narayanan,Deborah Miller,François Béthoux,Robert Bermel,Richard A. Rudick,Jay L. Alberts	117
13	Monophasic demyelination reduces brain growth in children 2017 ·Neurology ·Bérengère Aubert-Broche,Katrin Weier,Giulia Longoni,Vladimir Fonov,Amit Bar‐Or,Ruth Ann Marrie,E. Ann Yeh,Sridar Narayanan,Douglas L. Arnold,Leonard H. Verhey,Brenda Banwell,D. Louis Collins	35
14	MRI evidence of acute inflammation in leukocortical lesions of patients with early multiple sclerosis 2017 ·Neurology ·Josefina Maranzano,David A. Rudko,Kunio Nakamura,Stuart D. Cook,Diego Cadavid,Leo Wolansky,Douglas L. Arnold,Sridar Narayanan	13
15	Manual Segmentation of MS Cortical Lesions Using MRI: A Comparison of 3 MRI Reading Protocols 2016 ·American Journal of Neuroradiology ·Josefina Maranzano,David A. Rudko,Douglas L. Arnold,Sridar Narayanan	14
16	Delineation of cortical pathology in multiple sclerosis using multi-surface magnetization transfer ratio imaging 2016 ·NeuroImage Clinical ·David A. Rudko,(unknown),Josefina Maranzano,Kunio Nakamura,Douglas L. Arnold,Sridar Narayanan	8
17	Reduced head and brain size for age and disproportionately smaller thalami in child-onset MS 2012 ·Neurology ·Anne Kerbrat,Bérengère Aubert-Broche,Vladimir Fonov,Sridar Narayanan,John G. Sled,Douglas L. Arnold,Brenda Banwell,D. Louis Collins	69
18	MRI correlates of cognitive impairment in childhood-onset multiple sclerosis. 2011 ·Neuropsychology ·Christine Till,Rezwan Ghassemi,Bérengère Aubert-Broche,Anne Kerbrat,D. Louis Collins,Sridar Narayanan,Douglas L. Arnold,Mary Desrocher,John G. Sled,Brenda Banwell	116
19	Magnetization Transfer Ratio Imaging Is Feasible in Large Multicenter MS Trials 2010 ·UCL Discovery (University College London) ·Douglas L. Arnold,Catherine M. Dalton,Sridar Narayanan,(unknown),(unknown),Keith D. Hunter,R. H. Fox,(unknown),(unknown),(unknown),D. H. Miller	1
20	beta-interferon treatment does not immediately slow the progression of axonal injury in multiple sclerosis 2002 ·Journal of Neurology Neurosurgery & Psychiatry ·(unknown),Robin Corkill,Andrew M. Blamire,J Palace,Sridar Narayanan,(unknown),Peter Styles,Paul M. Matthews	1

About Sridar Narayanan

Sridar Narayanan is a scholar working on Pathology and Forensic Medicine, Developmental Neuroscience and Radiology, Nuclear Medicine and Imaging, having authored 136 papers that have together received 6.5k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (100 papers), Advanced Neuroimaging Techniques and Applications (29 papers) and Systemic Lupus Erythematosus Research (24 papers). The work is most often cited by research in Pathology and Forensic Medicine (4.3k citations), Developmental Neuroscience (616 citations) and Neurology (1.6k citations). Sridar Narayanan has collaborated with scholars based in Canada, United States and United Kingdom. Frequent 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. Their work appears in journals such as Nature Communications, Journal of Neuroscience and PLoS ONE.

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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