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

Alec J. Jamieson

The University of Melbourne

ORCID: 0000-0002-5598-0240
NeurosciencePsychology

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 7%percentile
0.104Author DataRank

Indexed papers

1in 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 1 indexed paper 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.

Regional brain morphology and current antidepressant use: findings from 32 international cohorts from the ENIGMA major depressive disorder working group

Molecular Psychiatry(2025)10.1038/s41380-025-03310-8
Top 78%
0.104DataRank
Top 78%1 citations

Yara J. Toenders, Elena Pozzi, André Alemán, Nina Alexander, Zeynep Başgöze +95 more

Papers

Driven by 9 papers — median percentile 22. Top paper: “Regional brain morphology and current antidepressant use: findings from 32 international cohorts from the ENIGMA major depressive disorder working group”.

Regional brain morphology and current antidepressant use: findings from 32 international cohorts from the ENIGMA major depressive disorder working group

Molecular Psychiatry(2025)10.1038/s41380-025-03310-8
Top 78%
0.104DataRank
Top 78%1 citations

Yara J. Toenders, Elena Pozzi, André Alemán, Nina Alexander, Zeynep Başgöze +95 more

Brain‐age prediction: Systematic evaluation of site effects, and sample age range and size

Human Brain Mapping(2024)10.1002/hbm.26768
N/A
0DataRank · unranked
40 citations

H. Cui, Shalaila S. Haas, Faye New, Nicole Sanford, Kevin Yu +77 more

A mega-analysis of functional connectivity and network abnormalities in youth depression

Nature Mental Health(2024)10.1038/s44220-024-00309-y
N/A
0DataRank · unranked
30 citations

Aswin Ratheesh, Ye Ella Tian, Colm G. Connolly, Christopher G. Davey, Saampras Ganesan +20 more

Neural correlates of human fear conditioning and sources of variability in 2199 individuals

Nature Communications(2025)10.1038/s41467-025-63078-x
N/A
0DataRank · unranked
12 citations

Hannah S. Savage, Enric Vilajosana, Alec J. Jamieson, Birgit Abler, Fredrik Åhs +88 more

Predicting Antidepressant Treatment Response From Cortical Structure on MRI: A Mega‐Analysis From the ENIGMA‐MDD Working Group

Human Brain Mapping(2025)10.1002/hbm.70053
N/A
0DataRank · unranked
5 citations

Daphne E. Boucherie, Matthan W.A. Caan, Roberto Goya‐Maldonado, Vladimir S. Belov, Emmanuelle Corruble +31 more

Classification of major depressive disorder using vertex-wise brain sulcal depth, curvature, and thickness with a deep and a shallow learning model

Molecular Psychiatry(2025)10.1038/s41380-025-03273-w
N/A
0DataRank · unranked
3 citations

Tracy Erwin-Grabner, Ling‐Li Zeng, Christopher R. K. Ching, André Alemán, Alyssa R. Amod +82 more

Dissecting heterogeneity in cortical thickness abnormalities in major depressive disorder: a large-scale ENIGMA MDD normative modelling study

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.03.17.643677
N/A
0DataRank · unranked
5 citations

Laura S. van Velzen, Elena Pozzi, Christopher G. Davey, Laura K. M. Han, Stéphanie Bauduin +87 more

Classification of Major Depressive Disorder Using Vertex-Wise Brain Sulcal Depth, Curvature, and Thickness with a Deep and a Shallow Learning Model

arXiv (Cornell University)(2023)10.48550/arxiv.2311.11046
N/A
0DataRank · unranked
2 citations

Tracy Erwin-Grabner, Ling‐Li Zeng, Christopher R. K. Ching, André Alemán, Alyssa R. Amod +82 more

Neural correlates of human fear conditioning and sources of variability in 2199 individuals

Dipòsit Digital de la Universitat de Barcelona (Universitat de Barcelona)(2025)10.31234/osf.io/73ra8_v1
N/A
0DataRank · unranked
0 citations

Hannah S. Savage, Enric Vilajosana, Alec J. Jamieson, Birgit Abler, Fredrik Åhs +83 more