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

Ali Saffet Gönül

Ege University

ORCID: 0000-0003-3522-1359

Also affiliated with Cognitive Research (United States)

NeuroscienceMedicine

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 6%percentile
0.318Author 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.

Two neurostructural subtypes: results of machine learning on brain images from 4,291 individuals with schizophrenia

medRxiv(2023)10.1101/2023.10.11.23296862
Top 63%
0.214DataRank
Top 63%3 citations

Cheng Luo, Jijun Wang, Lena Palaniyappan, Xiao Chang, Shitong Xiang +95 more

Papers

Driven by 12 papers — median percentile 29. Top paper: “Intelligence, educational attainment, and brain structure in those at familial high‐risk for schizophrenia or bipolar disorder”.

Intelligence, educational attainment, and brain structure in those at familial high‐risk for schizophrenia or bipolar disorder

Human Brain Mapping(2020)10.1002/hbm.25206
N/A
0.922DataRank · unranked
40 citations

Rachel M. Brouwer, Ingrid Agartz, Martin Alda, Sílvia Alonso-Lana, Carrie E. Bearden +95 more

Concurrent validity and reliability of suicide risk assessment instruments: A meta-analysis of 20 instruments across 27 international cohorts.

Neuropsychology(2023)10.1037/neu0000850
N/A
0.524DataRank · unranked
32 citations

Laura S. van Velzen, Dick J Veltman, Elena Pozzi, Sonia Ambrogi, Elizabeth D. Ballard +86 more

Structural brain alterations associated with suicidal thoughts and behaviors in young people: results from 21 international studies from the ENIGMA Suicidal Thoughts and Behaviours consortium

Molecular Psychiatry(2022)10.1038/s41380-022-01734-0
N/A
0.477DataRank · unranked
23 citations

Maria R. Dauvermann, Lejla Čolić, Luca M. Villa, Hannah S. Savage, Yara J. Toenders +73 more

A Large-Scale ENIGMA Multisite Replication Study of Brain Age in Depression

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.08.29.505635
N/A
0.332DataRank · unranked
6 citations

Richard Dinga, Ramona Leenings, Tim Hahn, James H. Cole, Lyubomir I. Aftanas +32 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
0.269DataRank · unranked
5 citations

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

Concurrent validity and reliability of suicide risk assessment instruments: A meta analysis of 20 instruments across 27 international cohorts

medRxiv(2021)10.1101/2021.09.15.21263562
N/A
0.241DataRank · unranked
4 citations

Laura S. van Velzen, Dick J. Veltman, Elena Pozzi, Sonia Ambrogi, Elizabeth D. Ballard +85 more

Two neurostructural subtypes: results of machine learning on brain images from 4,291 individuals with schizophrenia

medRxiv(2023)10.1101/2023.10.11.23296862
Top 63%
0.214DataRank
Top 63%3 citations

Cheng Luo, Jijun Wang, Lena Palaniyappan, Xiao Chang, Shitong Xiang +95 more

The role of educational attainment and brain morphology in major depressive disorder: Findings from the ENIGMA major depressive disorder consortium.

Journal of Psychopathology and Clinical Science(2022)10.1037/abn0000738
N/A
0.208DataRank · unranked
3 citations

Divyangana Rakesh, Lianne Schmaal, Dick J. Veltman, Paul M. Thompson, Aditya Singh +41 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
0.208DataRank · unranked
3 citations

Tracy Erwin-Grabner, Ling‐Li Zeng, Christopher R. K. Ching, André Alemán, Alyssa R. Amod +82 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
0.165DataRank · unranked
2 citations

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

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

Multi-site benchmark classification of major depressive disorder using machine learning on cortical and subcortical measures

Scientific Reports(2024)10.1038/s41598-023-47934-8
N/A
0DataRank · unranked
35 citations

Tracy Erwin-Grabner, Moji Aghajani, André Alemán, Alyssa R. Amod, Zeynep Başgöze +61 more