🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Arman Eshaghi

Queen Mary University of London

ORCID: 0000-0002-6652-3512

Also affiliated with University College London

MedicineNeuroscience

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 5%percentile
0.487Author DataRank

Indexed papers

2in pilot corpus
datarank_citation_only_1hop_v6· scope data_onlyMethodology
Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 2 indexed papers attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

Top data-sharing exemplar

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

Enabling new insights from old scans by repurposing clinical MRI archives for multiple sclerosis research

Nature Communications(2025)10.1038/s41467-025-58274-8
Top 39%
0.487DataRank
Top 39%16 citations

Jed Wingrove, Omar Abdelmannan, Barbara Brito Vega, Jonathan Stutters, Silvia Da Graca Ramos +19 more

Papers

Driven by 11 papers — median percentile 30. Top paper: “Enabling new insights from old scans by repurposing clinical MRI archives for multiple sclerosis research”.

Enabling new insights from old scans by repurposing clinical MRI archives for multiple sclerosis research

Nature Communications(2025)10.1038/s41467-025-58274-8
Top 39%
0.487DataRank
Top 39%16 citations

Jed Wingrove, Omar Abdelmannan, Barbara Brito Vega, Jonathan Stutters, Silvia Da Graca Ramos +19 more

Identifying multiple sclerosis subtypes using unsupervised machine learning and MRI data

Nature Communications(2021)10.1038/s41467-021-22265-2
N/A
0DataRank · unranked
260 citations

Alexandra L. Young, P. A. Wijeratne, Ferrán Prados, Douglas L. Arnold, Sridar Narayanan +7 more

The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge: Results after 1 Year Follow-up

The Journal of Machine Learning for Biomedical Imaging(2021)10.59275/j.melba.2021-2dcc
N/A
0DataRank · unranked
69 citations

Neil P. Oxtoby, Alexandra L. Young, Esther E. Bron, Arthur W. Toga, Michael W. Weiner +92 more

pySuStaIn: A Python implementation of the Subtype and Stage Inference algorithm

SoftwareX(2021)10.1016/j.softx.2021.100811
N/A
0DataRank · unranked
82 citations

P. A. Wijeratne, Neil P. Oxtoby, Arman Eshaghi, Cameron Shand, André Altmann +2 more

The temporal event-based model: Learning event timelines in progressive diseases

Imaging Neuroscience(2023)10.1162/imag_a_00010
N/A
0DataRank · unranked
18 citations

Arman Eshaghi, William J. Scotton, Maitrei Kohli, Leon Aksman, Neil P. Oxtoby +8 more

An efficient semi-supervised quality control system trained using physics-based MRI-artefact generators and adversarial training

Medical Image Analysis(2023)10.1016/j.media.2023.103033
N/A
0DataRank · unranked
12 citations

Frederik Barkhof, Daniel C. Alexander, Lemuel Puglisi, Geoff J.M. Parker, Arman Eshaghi +1 more

Quantifying white matter hyperintensity and brain volumes in heterogeneous clinical and low-field portable MRI

arXiv (Cornell University)(2023)10.48550/arxiv.2312.05119
N/A
0DataRank · unranked
12 citations

Stefano Cerri, Annabel Sorby‐Adams, Jennifer D. Guo, Farrah J. Mateen, Philipp Goebl +19 more

Longitudinal network-based brain grey matter MRI measures are clinically relevant and sensitive to treatment effects in multiple sclerosis

Brain Communications(2024)10.1093/braincomms/fcae234
N/A
0DataRank · unranked
3 citations

Jonathan Stutters, Sridar Narayanan, Douglas L. Arnold, Jeremy Chataway, Claudia A. M. Gandini Wheeler‐Kingshott +5 more

Quantifying White Matter Hyperintensity and Brain Volumes in Heterogeneous Clinical and Low-Field Portable MRI

PubMed(2024)10.1109/isbi56570.2024.10635502
N/A
0DataRank · unranked
27 citations

Stefano Cerri, Annabel Sorby‐Adams, Jennifer D. Guo, Farrah J. Mateen, Philipp Goebl +19 more

The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge: Results after 1 Year Follow-up

EUR Research Repository (Erasmus University Rotterdam)(2020)10.48550/arxiv.2002.03419
Top 100%
0DataRank
Top 100%0 citations

Neil P. Oxtoby, Alexandra L. Young, Esther E. Bron, Arthur W. Toga, Michael W. Weiner +91 more

Slowly Expanding Lesions in Pediatric-Onset Multiple Sclerosis

JAMA Neurology(2025)10.1001/jamaneurol.2025.2619
N/A
0DataRank · unranked
5 citations

Ferrán Prados, N.-Y. Kim, Omar Abdel‐Mannan, Riccardo Nistri, Philipp Goebl +16 more