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

Mark Jenkinson

Australian Institute of Business

ORCID: 0000-0001-6043-0166
MedicineNeuroscienceComputer Science

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 1%percentile
10.8Author DataRank

Indexed papers

6in 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 6 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.

Multimodal population brain imaging in the UK Biobank prospective epidemiological study

Nature Neuroscience(2016)10.1038/nn.4393
Top 3%
7.0DataRank
Top 3%2307 citations

Fidel Alfaro-Almagro, Neal K. Bangerter, David L. Thomas, Essa Yacoub, Junqian Xu +19 more

Papers

Driven by 21 papers — median percentile 82. Top paper: “Functional connectomics from resting-state fMRI”.

Functional connectomics from resting-state fMRI

Trends in Cognitive Sciences(2013)10.1016/j.tics.2013.09.016
N/A
10.7DataRank · unranked
1034 citations

Diego Vidaurre, Christian F. Beckmann, Matthew F. Glasser, Mark Jenkinson, Karla L. Miller +8 more

Multimodal population brain imaging in the UK Biobank prospective epidemiological study

Nature Neuroscience(2016)10.1038/nn.4393
Top 3%
7.0DataRank
Top 3%2307 citations

Fidel Alfaro-Almagro, Neal K. Bangerter, David L. Thomas, Essa Yacoub, Junqian Xu +19 more

The developing Human Connectome Project (dHCP) automated resting-state functional processing framework for newborn infants

NeuroImage(2020)10.1016/j.neuroimage.2020.117303
Top 8%
2.8DataRank
Top 8%180 citations

Samuel J. Harrison, Mark Jenkinson, Luke Baxter, Emma C. Robinson, Matteo Bastiani +22 more

Improved Optimization for the Robust and Accurate Linear Registration and Motion Correction of Brain Images

NeuroImage(2002)10.1016/s1053-8119(02)91132-8
N/A
1.4DataRank · unranked
10610 citations

Peter Bannister, Michael Brady, Stephen M. Smith, Mark Jenkinson

Improved Optimization for the Robust and Accurate Linear Registration and Motion Correction of Brain Images

NeuroImage(2002)10.1006/nimg.2002.1132
N/A
1.4DataRank · unranked
10556 citations

Peter Bannister, Michael Brady, Stephen M. Smith, Mark Jenkinson

A global optimisation method for robust affine registration of brain images

Medical Image Analysis(2001)10.1016/s1361-8415(01)00036-6
N/A
1.3DataRank · unranked
7167 citations

Stephen M. Smith, Mark Jenkinson

Tract-based spatial statistics: Voxelwise analysis of multi-subject diffusion data

NeuroImage(2006)10.1016/j.neuroimage.2006.02.024
N/A
1.3DataRank · unranked
6591 citations

Mark Jenkinson, Heidi Johansen-Berg, Daniel Rueckert, Thomas E. Nichols, Clare E. Mackay +8 more

Integrating large-scale neuroimaging research datasets: Harmonisation of white matter hyperintensity measurements across Whitehall and UK Biobank datasets

NeuroImage(2021)10.1016/j.neuroimage.2021.118189
Top 29%
0.686DataRank
Top 29%19 citations

Ilaria Bertani, Irene Mattioli, Vaanathi Sundaresan, Paul J. McCarthy, Sana Suri +15 more

White matter hyperintensities classified according to intensity and spatial location reveal specific associations with cognitive performance

NeuroImage Clinical(2021)10.1016/j.nicl.2021.102616
N/A
0.489DataRank · unranked
25 citations

Clare E. Mackay, Valentina Bordin, Sana Suri, Enikő Zsoldos, Nicola Filippini +11 more

Integrating large-scale neuroimaging research datasets: harmonisation of white matter hyperintensity measurements across Whitehall and UK Biobank datasets

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.07.28.208579
Top 58%
0.269DataRank
Top 58%5 citations

Ilaria Bertani, Irene Mattioli, Vaanathi Sundaresan, Paul J. McCarthy, Sana Suri +15 more

Automated Detection of Cerebral Microbleeds on MR images using Knowledge Distillation Framework

10.1101/2021.11.15.21266376
N/A
0.212DataRank · unranked
2 citations

Christoph Arthofer, Giovanna Zamboni, Andrew G. Murchison, Robert A. Dineen, Peter M. Rothwell +10 more

Evidence for a novel subcortical mechanism for posterior cingulate cortex atrophy in HIV peripheral neuropathy

Journal of NeuroVirology(2020)10.1007/s13365-020-00850-3
N/A
0DataRank · unranked
7 citations

Alan Tong, Eelke Visser, Mark Jenkinson, Colm G. Connolly, Alyssa Dasca +17 more

Using diffusion tensor imaging to detect cortical changes in fronto-temporal dementia subtypes

Scientific Reports(2020)10.1038/s41598-020-68118-8
N/A
0DataRank · unranked
27 citations

Marco Bozzali, Mara Cercignani, Mark Jenkinson, Steven A. Chance, Mario Torso

Detection of Alzheimer's Disease using cortical diffusion tensor imaging

Human Brain Mapping(2020)10.1002/hbm.25271
N/A
0DataRank · unranked
45 citations

Marco Bozzali, Giovanna Zamboni, Mark Jenkinson, Steven A. Chance, for the Alzheimers Disease Neuroimage Initiative +1 more

The prevalence and topography of spinal cord demyelination in multiple sclerosis: a retrospective study

medRxiv(2022)10.1101/2022.06.14.22276413
N/A
0DataRank · unranked
3 citations

Cecilia Catania, Marco Pisa, Mark Jenkinson, Michael J. Lenardo, Gabriele C. DeLuca +1 more

The prevalence and topography of spinal cord demyelination in multiple sclerosis: a retrospective study

Acta Neuropathologica(2024)10.1007/s00401-024-02700-6
N/A
0DataRank · unranked
21 citations

Cecilia Catania, Marco Pisa, Mark Jenkinson, Michael J. Lenardo, Gabriele C. DeLuca +1 more

niimath and fslmaths: replication as a method to enhance popular neuroimaging tools

Aperture Neuro(2024)10.52294/001c.94384
N/A
0DataRank · unranked
6 citations

Matthew Webster, Christopher L. Drake, Mark Jenkinson, Jonathan D. Clayden, Ningfei Li +2 more

Deep-diffeomorphic networks for conditional brain templates

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.07.05.602288
N/A
0DataRank · unranked
0 citations

Stephan Lau, Lyle J. Palmer, Mark Jenkinson, the Alzheimer’s Disease Neuroimaging Initiative, Luke Whitbread

Deep‐Diffeomorphic Networks for Conditional Brain Templates

Human Brain Mapping(2025)10.1002/hbm.70229
N/A
0DataRank · unranked
1 citations

Stephan Laurenz, Lyle J. Palmer, Mark Jenkinson, the Alzheimer's Disease Neuroimaging Initiative, Luke Whitbread

Cross-species cortical alignment identifies different types of anatomical reorganization in the primate temporal lobe

eLife(2020)10.7554/elife.53232
N/A
0DataRank · unranked
130 citations

Emma C. Robinson, Katherine Bryant, Saâd Jbabdi, Mark Jenkinson, Longchuan Li +4 more

Deep learning-based unlearning of dataset bias for MRI harmonisation and confound removal

NeuroImage(2020)10.1016/j.neuroimage.2020.117689
N/A
0DataRank · unranked
178 citations

Mark Jenkinson, Ana I. L. Namburete, Nicola K. Dinsdale