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

Ty Easley

Washington University in St. Louis

ORCID: 0000-0002-8215-2598

Also affiliated with Mallinckrodt (United States)

NeuroscienceMedicinePsychologyEnvironmental 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 2%percentile
2.2Author 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.

Mental health in the UK Biobank: A roadmap to self‐report measures and neuroimaging correlates

Human Brain Mapping(2021)10.1002/hbm.25690
Top 13%
1.6DataRank
Top 13%74 citations

Kayla Hannon, Ty Easley, Joseph C. Griffis, Wei Zhang, Janine Bijsterbosch +1 more

Papers

Driven by 13 papers — median percentile 76. Top paper: “Mental health in the UK Biobank: A roadmap to self‐report measures and neuroimaging correlates”.

Mental health in the UK Biobank: A roadmap to self‐report measures and neuroimaging correlates

Human Brain Mapping(2021)10.1002/hbm.25690
Top 13%
1.6DataRank
Top 13%74 citations

Kayla Hannon, Ty Easley, Joseph C. Griffis, Wei Zhang, Janine Bijsterbosch +1 more

Mental health in the UK Biobank: a roadmap to self-report measures and neuroimaging correlates

medRxiv(2021)10.1101/2021.04.08.21255070
Top 34%
0.571DataRank
Top 34%9 citations

Kayla Hannon, Ty Easley, Joseph C. Griffis, Wei Zhang, Janine Bijsterbosch +1 more

An in silico validation framework for quantitative DCE-MRI techniques based on a dynamic digital phantom

Medical Image Analysis(2021)10.1016/j.media.2021.102186
N/A
0.330DataRank · unranked
8 citations

David A. Hormuth, Ty Easley, Victor Eijkhout, Federico Pineda, Gregory S. Karczmar +2 more

Population modeling with machine learning can enhance measures of mental health - Open-Data Replication

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.04.04.487069
N/A
0DataRank · unranked
0 citations

Ruiqi Chen, Kayla Hannon, Rosie Dutt, Janine Bijsterbosch, Ty Easley

Population modeling with machine learning can enhance measures of mental health - Open-data replication

Neuroimage Reports(2023)10.1016/j.ynirp.2023.100163
N/A
0DataRank · unranked
8 citations

Ruiqi Chen, Kayla Hannon, Rosie Dutt, Janine Bijsterbosch, Ty Easley

Pharmacokinetic Analysis of Enhancement-Constrained Acceleration (ECA) reconstruction-based high temporal resolution breast DCE-MRI

PLoS ONE(2023)10.1371/journal.pone.0286123
N/A
0DataRank · unranked
3 citations

Ty Easley, Federico Pineda, Xiaodong Guo, Rina Foygel Barber, Gregory S. Karczmar +1 more

Systematic evaluation of MRI-based characterization of tumor-associated vascular morphology and hemodynamics via a dynamic digital phantom

Journal of Medical Imaging(2024)10.1117/1.jmi.11.2.024002
N/A
0DataRank · unranked
1 citations

David A. Hormuth, Ty Easley, Federico Pineda, Gregory S. Karczmar, Thomas E. Yankeelov +1 more

Opaque Ontology: Neuroimaging Classification of ICD-10 Diagnostic Groups in the UK Biobank

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.04.15.589555
N/A
0DataRank · unranked
1 citations

Xiaoke Luo, Kayla Hannon, Petra Lenzini, Janine Bijsterbosch, Ty Easley

Parsing Clinical and Neurobiological Sources of Heterogeneity in Depression

Biological Psychiatry(2025)10.1016/j.biopsych.2025.04.025
N/A
0DataRank · unranked
6 citations

Ty Easley, Wei Zhang, Daphne Lew, Aristeidis Sotiras, Yvette I. Sheline +4 more

Depression and the prefrontal-hippocampal pathway - A multimodal neuroimaging study in transgender women

Comprehensive Psychoneuroendocrinology(2025)10.1016/j.cpnec.2025.100288
N/A
0DataRank · unranked
1 citations

Karen M. Tam, Seksan Yoadsanit, Ty Easley, Hailey Modi, Lyn Stahl +7 more

Opaque ontology: neuroimaging classification of ICD-10 diagnostic groups in the UK Biobank

GigaScience(2025)10.1093/gigascience/giae119
N/A
0DataRank · unranked
1 citations

Xiaoke Luo, Kayla Hannon, Petra Lenzini, Janine Bijsterbosch, Ty Easley

Enhancement-constrained acceleration: A robust reconstruction framework in breast DCE-MRI

PLoS ONE(2021)10.1371/journal.pone.0258621
N/A
0DataRank · unranked
5 citations

Zhen Ren, Byol Kim, Gregory S. Karczmar, Rina Foygel Barber, Federico Pineda +1 more

Parsing clinical and neurobiological sources of heterogeneity in depression

medRxiv(2022)10.1101/2022.12.07.22283225
N/A
0DataRank · unranked
7 citations

Ty Easley, Wei Zhang, Daphne Lew, Aristeidis Sotiras, Yvette I. Sheline +4 more