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

Dekang Yuan

University of Vermont

ORCID: 0000-0002-9197-7057
NeuroscienceMedicinePsychology

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 4%percentile
0.609Author 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.

Multimodal brain predictors of current weight and weight gain in children enrolled in the ABCD study ®

Developmental Cognitive Neuroscience(2021)10.1016/j.dcn.2021.100948
Top 32%
0.609DataRank
Top 32%57 citations

Nicholas Allgaier, Jennifer Laurent, Sage Hahn, Bader Chaarani, Max M. Owens +6 more

Papers

Driven by 13 papers — median percentile 68. Top paper: “Multimodal brain predictors of current weight and weight gain in children enrolled in the ABCD study ®”.

Multimodal brain predictors of current weight and weight gain in children enrolled in the ABCD study ®

Developmental Cognitive Neuroscience(2021)10.1016/j.dcn.2021.100948
Top 32%
0.609DataRank
Top 32%57 citations

Nicholas Allgaier, Jennifer Laurent, Sage Hahn, Bader Chaarani, Max M. Owens +6 more

Multimethod Investigation of the Neurobiological Basis of ADHD Symptomatology in Children Aged 9-10: Baseline Data from the ABCD Study

Open MIND(2020)10.31234/osf.io/sqbnu
N/A
0DataRank · unranked
9 citations

Nicholas Allgaier, Sage Hahn, Dekang Yuan, Matthew D. Albaugh, Shana Adise +6 more

Brain Predictability toolbox: a Python library for neuroimaging-based machine learning

Bioinformatics(2020)10.1093/bioinformatics/btaa974
N/A
0DataRank · unranked
0 citations

Dekang Yuan, Wesley K. Thompson, Max M. Owens, Nicholas Allgaier, Hugh Garavan +1 more

Recalibrating expectations about effect size: A multi-method survey of effect sizes in the ABCD study

PLoS ONE(2021)10.1371/journal.pone.0257535
N/A
0DataRank · unranked
163 citations

Alexandra Potter, Courtland S. Hyatt, Matthew D. Albaugh, Wesley K. Thompson, Terry L. Jernigan +5 more

Baseline brain function in the preadolescents of the ABCD Study

Nature Neuroscience(2021)10.1038/s41593-021-00867-9
N/A
0DataRank · unranked
126 citations

Sage Hahn, Nicholas Allgaier, Shana Adise, Max M. Owens, Anthony Juliano +95 more

Multimethod investigation of the neurobiological basis of ADHD symptomatology in children aged 9-10: baseline data from the ABCD study

Translational Psychiatry(2021)10.1038/s41398-020-01192-8
N/A
0DataRank · unranked
48 citations

Nicholas Allgaier, Sage Hahn, Dekang Yuan, Matthew D. Albaugh, Shana Adise +6 more

One-year predictions of delayed reward discounting in the adolescent brain cognitive development study.

Experimental and Clinical Psychopharmacology(2021)10.1037/pha0000532
N/A
0DataRank · unranked
13 citations

Sage Hahn, Nicholas Allgaier, James MacKillop, Matthew D. Albaugh, Dekang Yuan +4 more

Performance Scaling for Structural MRI Surface Parcellations: A Machine Learning Analysis in the ABCD Study

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.10.18.464804
N/A
0DataRank · unranked
1 citations

Max M. Owens, Dekang Yuan, Anthony Juliano, Alexandra Potter, Hugh Garavan +2 more

Bayesian Causal Network Modeling Suggests Adolescent Cannabis Use Promotes Accelerated Prefrontal Cortical Thinning

Open MIND(2021)10.31234/osf.io/2fzjp
N/A
0DataRank · unranked
0 citations

Matthew D. Albaugh, Nicholas Allgaier, Dekang Yuan, Gabriel Robert, Renata B. Cupertino +28 more

Bayesian causal network modeling suggests adolescent cannabis use accelerates prefrontal cortical thinning

Translational Psychiatry(2022)10.1038/s41398-022-01956-4
N/A
0DataRank · unranked
21 citations

Matthew D. Albaugh, Nicholas Allgaier, Dekang Yuan, Guillaume Robert, Renata B. Cupertino +30 more

Cortical profiles of numerous psychiatric disorders and normal development share a common pattern

Molecular Psychiatry(2022)10.1038/s41380-022-01855-6
N/A
0DataRank · unranked
13 citations

Renata B. Cupertino, Jonatan Ottino‐González, Alistair Murphy, Devarshi Pancholi, Anthony Juliano +51 more

Investigation of Psychiatric and Neuropsychological Correlates of Default Mode Network and Dorsal Attention Network Anticorrelation in Children

Cerebral Cortex(2020)10.1093/cercor/bhaa143
N/A
0DataRank · unranked
73 citations

Dekang Yuan, Sage Hahn, Matthew D. Albaugh, Nicholas Allgaier, Bader Chaarani +3 more

Performance scaling for structural MRI surface parcellations: a machine learning analysis in the ABCD Study

Cerebral Cortex(2022)10.1093/cercor/bhac060
N/A
0DataRank · unranked
8 citations

Max M. Owens, Dekang Yuan, Anthony Juliano, Alexandra Potter, Hugh Garavan +2 more