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

Tianqi Li

Peking University

ORCID: 0000-0001-7215-2546
Immunology and MicrobiologyMedicine

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 11 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

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

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

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

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

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

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

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