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

Auriel A. Willette

Rutgers, The State University of New Jersey

ORCID: 0000-0001-5131-8199

Also affiliated with Johnson University

MedicineNeuroscience

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
1.8Author 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.

Using machine learning to predict COVID-19 infection and severity risk among 4510 aged adults: a UK Biobank cohort study

Scientific Reports(2022)10.1038/s41598-022-07307-z
Top 21%
0.980DataRank
Top 21%22 citations

Sara A. Willette, Qian Wang, Colleen Pappas, Brandon S. Klinedinst, Scott T. Le +8 more

Papers

Driven by 20 papers — median percentile 78. Top paper: “Using machine learning to predict COVID-19 infection and severity risk among 4510 aged adults: a UK Biobank cohort study”.

Using machine learning to predict COVID-19 infection and severity risk among 4510 aged adults: a UK Biobank cohort study

Scientific Reports(2022)10.1038/s41598-022-07307-z
Top 21%
0.980DataRank
Top 21%22 citations

Sara A. Willette, Qian Wang, Colleen Pappas, Brandon S. Klinedinst, Scott T. Le +8 more

Using machine learning to predict COVID-19 infection and severity risk among 4,510 aged adults: a UK Biobank cohort study

medRxiv(2020)10.1101/2020.06.09.20127092
Top 24%
0.835DataRank
Top 24%9 citations

Sara A. Willette, Qian Wang, Colleen Pappas, Brandon S. Klinedinst, Scott T. Le +6 more

APOE, TOMM40, and sex interactions on neural network connectivity

Neurobiology of Aging(2021)10.1016/j.neurobiolaging.2021.09.020
N/A
0.742DataRank · unranked
20 citations

Colleen Pappas, Scott T. Le, Qian Wang, Brandon S. Klinedinst, Brittany Larsen +8 more

Impact of COVID‐19 on the Onset and Progression of Alzheimer's Disease and Related Dementias: A Roadmap for Future Research

Alzheimer s & Dementia(2021)10.1002/alz.12488
N/A
0.619DataRank · unranked
61 citations

Michael T. Heneka, Lydia M. Le Page, Christian Limberger, David Morgan, Andrea J. Tenner +4 more

Inflammation, negative affect, and amyloid burden in Alzheimer’s disease: Insights from the kynurenine pathway

Brain Behavior and Immunity(2021)10.1016/j.bbi.2021.03.019
N/A
0.612DataRank · unranked
58 citations

Colleen Pappas, Nathan Hoth, Qian Wang, Brandon S. Klinedinst, Sara A. Willette +9 more

Associations Between Insulin-Like Growth Factor-1 and Resting-State Functional Connectivity in Cognitively Unimpaired Midlife Adults

Journal of Alzheimer s Disease(2023)10.3233/jad-220608
N/A
0DataRank · unranked
8 citations

Colleen Pappas, Brandon S. Klinedinst, Amy Pollpeter, Brittany Larsen, Nathan Hoth +4 more

Exploring the secrets of super-aging: a UK Biobank study on brain health and cognitive function

GeroScience(2023)10.1007/s11357-023-00765-x
N/A
0DataRank · unranked
8 citations

Mihir Kharate, Parvin Mohammadiarvejeh, Mohammad Fili, Amy Pollpeter, Brittany Larsen +6 more

Alzheimer’s Disease Genetic Influences Impact the Associations between Diet and Resting-State Functional Connectivity: A Study from the UK Biobank

Nutrients(2023)10.3390/nu15153390
N/A
0DataRank · unranked
8 citations

Auriel A. Willette, Qian Wang, Amy Pollpeter, Brittany Larsen, Parvin Mohammadiarvejeh +2 more

Manganese Exposure Enhances the Release of Misfolded α-Synuclein via Exosomes by Impairing Endosomal Trafficking and Protein Degradation Mechanisms

International Journal of Molecular Sciences(2024)10.3390/ijms252212207
N/A
0DataRank · unranked
8 citations

Dilshan S. Harischandra, Manikandan Samidurai, Yuan-Teng Chang, Jie Luo, Vivek Lawana +11 more

Vitamin B6, B12, and Folate’s Influence on Neural Networks in the UK Biobank Cohort

Nutrients(2024)10.3390/nu16132050
N/A
0DataRank · unranked
7 citations

Juan P. Steibel, Auriel A. Willette, Tianqi Li

A multi-stage feature selection method to improve classification of potential super-agers and cognitive decliners using structural brain MRI data—a UK biobank study

GeroScience(2024)10.1007/s11357-024-01458-9
N/A
0DataRank · unranked
5 citations

Mohammad Fili, Alice Dawson, Brandon S. Klinedinst, Qian Wang, Shannin N. Moody +10 more

The intersection of race and sex on the clinical and cognitive progression of multiple sclerosis

Journal of the Neurological Sciences(2024)10.1016/j.jns.2024.123260
N/A
0DataRank · unranked
3 citations

Morganne Manuel, Auriel A. Willette, Elizabeth A. Shirtcliff, Brian Copeland, Jesús Lovera +2 more

Associations of Coffee and Tea Consumption on Neural Network Connectivity: Unveiling the Role of Genetic Factors in Alzheimer’s Disease Risk

Nutrients(2024)10.3390/nu16244303
N/A
0DataRank · unranked
2 citations

Mohammad Fili, Parvin Mohammadiarvejeh, Alice Dawson, Guiping Hu, Auriel A. Willette +1 more

Decoding cognitive aging: how white matter tracts and demographics distinguish potential Super-Agers

GeroScience(2025)10.1007/s11357-025-01566-0
N/A
0DataRank · unranked
3 citations

Parvin Mohammadiarvejeh, Guiping Hu, Auriel A. Willette, Mohammad Fili

Walking in the Light: How History of Physical Activity, Sunlight, and Vitamin D Account for Body Fat—A UK Biobank Study

Obesity(2020)10.1002/oby.22852
N/A
0DataRank · unranked
10 citations

Nathan F. Meier, Brittany Larsen, Yueying Wang, Shan Yu, Jonathan P. Mochel +11 more

What would it take to prove that a chronic infection is a causal agent in Alzheimer’s disease?

Trends in Neurosciences(2025)10.1016/j.tins.2025.05.009
N/A
0DataRank · unranked
2 citations

Wei Cao, David Morgan, Roberta Sena Reis, Vidyani Suryadevara, Auriel A. Willette +4 more

Neuroinflammation, Depressive Affect, and Amyloid Burden in Alzheimer’s Disease: Insights from the Kynurenine Pathway

medRxiv(2020)10.1101/2020.08.11.20172940
N/A
0DataRank · unranked
0 citations

Colleen Pappas, Nathan Hoth, Qian Wang, Brandon S. Klinedinst, Sara A. Willette +9 more

Impact of hair type, hair sample weight, external hair exposures, and race on cumulative hair cortisol

Psychoneuroendocrinology(2022)10.1016/j.psyneuen.2022.105805
N/A
0DataRank · unranked
31 citations

Lotte van Dammen, Wen Wang, Kimberly A. Greder, Jenae M. Neiderhiser, Patience A. Afulani +3 more

Beer, wine, and spirits differentially influence body composition in older white adults–a United Kingdom Biobank study

Obesity Science & Practice(2022)10.1002/osp4.598
N/A
0DataRank · unranked
17 citations

Brandon S. Klinedinst, Scott T. Le, Colleen Pappas, Tovah Wolf, Nathan F. Meier +3 more

Adiposity and insulin resistance moderate the links between neuroelectrophysiology and working and episodic memory functions in young adult males but not females

Physiology & Behavior(2023)10.1016/j.physbeh.2023.114321
N/A
0DataRank · unranked
9 citations

Brandon S. Klinedinst, Tovah Wolf, Kelsey E. McLimans, Qian Wang, Amy Pollpeter +6 more