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

Brandon S. Klinedinst

University of Washington

ORCID: 0000-0003-2697-1852

Also affiliated with Johnson University

MedicineNeuroscienceBiochemistry, Genetics and Molecular Biology

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
2.4Author DataRank

Indexed papers

3in 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 3 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 18 papers — median percentile 76. 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

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

Measurement precision across cognitive domains in the Alzheimer’s Disease Neuroimaging Initiative (ADNI) data set.

Neuropsychology(2023)10.1037/neu0000901
Top 33%
0.589DataRank
Top 33%17 citations

Seo-Eun Choi, Michael K. Lee, Phoebe Scollard, R. Elizabeth Sanders, Brandon S. Klinedinst +18 more

A genome-wide search for pleiotropy in more than 100,000 harmonized longitudinal cognitive domain scores

Molecular Neurodegeneration(2023)10.1186/s13024-023-00633-4
N/A
0.505DataRank · unranked
28 citations

Ting Fang Alvin Ang, Sherral Devine, Richard Sherva, Shubhabrata Mukherjee, Emily H. Trittschuh +24 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
0.442DataRank · unranked
18 citations

Brandon S. Klinedinst, Scott T. Le, Colleen Pappas, Tovah Wolf, Nathan F. Meier +3 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
0.330DataRank · unranked
8 citations

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

Association of amyloid and cardiovascular risk with cognition: Findings from KBASE

Alzheimer s & Dementia(2024)10.1002/alz.14290
N/A
0.303DataRank · unranked
5 citations

Desarae A. Dempsey, Yen‐Ning Huang, Tamina Park, Sha Cao, Evgeny J. Chumin +22 more

Novel modelling approaches to elucidate the genetic architecture of resilience to Alzheimer’s disease

Brain(2025)10.1093/brain/awaf106
N/A
0.208DataRank · unranked
3 citations

Logan Dumitrescu, Derek B. Archer, Alexandra N. Regelson, Shubhabrata Mukherjee, Michael L. Lee +58 more

Evaluating the association of APOE genotype and cognitive resilience in SuperAgers

medRxiv(2025)10.1101/2025.01.07.25320117
N/A
0.104DataRank · unranked
1 citations

Shubhabrata Mukherjee, Michael L. Lee, Seo‐Eun Choi, Phoebe Scollard, Brandon S. Klinedinst +35 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

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

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

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

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

Genome‐wide pleiotropy analysis of longitudinal blood pressure and harmonized cognitive performance measures

Alzheimer s & Dementia(2025)10.1002/alz.70681
N/A
0DataRank · unranked
3 citations

Ting Fang Alvin Ang, Sherral Devine, Richard Sherva, Shubhabrata Mukherjee, Emily H. Trittschuh +22 more

Approaches to Timescale Choice in Cognitive Aging Research and Potential Implications for Estimated Exposure Effects: Coordinated Analyses in 10 Cohorts of Older Adults

Epidemiology(2025)10.1097/ede.0000000000001859
N/A
0DataRank · unranked
4 citations

Ryan M. Andrews, Katrina Kezios, Ariane Bercu, Anaïs Rouanet, Catherine Helmer +31 more