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

Lai Jiang

University of North Carolina at Chapel Hill

ORCID: 0000-0002-4293-2979
Biochemistry, Genetics and Molecular BiologyMedicine

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
0.600Author 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.

Genome-Wide Gene–Diabetes and Gene–Obesity Interaction Scan in 8,255 Cases and 11,900 Controls from PanScan and PanC4 Consortia

Cancer Epidemiology Biomarkers & Prevention(2020)10.1158/1055-9965.epi-20-0275
Top 33%
0.600DataRank
Top 33%10 citations

Lai Jiang, Rachael Z. Stolzenberg‐Solomon, Alan A. Arslan, Laura E. Beane Freeman, Paige M. Bracci +66 more

Papers

Driven by 7 papers — median percentile 67. Top paper: “Genome-Wide Gene–Diabetes and Gene–Obesity Interaction Scan in 8,255 Cases and 11,900 Controls from PanScan and PanC4 Consortia”.

Genome-Wide Gene–Diabetes and Gene–Obesity Interaction Scan in 8,255 Cases and 11,900 Controls from PanScan and PanC4 Consortia

Cancer Epidemiology Biomarkers & Prevention(2020)10.1158/1055-9965.epi-20-0275
Top 33%
0.600DataRank
Top 33%10 citations

Lai Jiang, Rachael Z. Stolzenberg‐Solomon, Alan A. Arslan, Laura E. Beane Freeman, Paige M. Bracci +66 more

A Hierarchical Approach Using Marginal Summary Statistics for Multiple Intermediates in a Mendelian Randomization or Transcriptome Analysis

American Journal of Epidemiology(2020)10.1093/aje/kwaa287
N/A
0DataRank · unranked
6 citations

Shujing Xu, Nicholas Mancuso, Paul J. Newcombe, David V. Conti, Lai Jiang

Estimation of COVID-19 risk-stratified epidemiological parameters and policy implications for Los Angeles County through an integrated risk and stochastic epidemiological model

medRxiv(2020)10.1101/2020.12.11.20209627
N/A
0DataRank · unranked
7 citations

Lai Jiang, Faith Washburn, Emil Hvitfeldt, Kayla de la Haye, William Nicholas +6 more

A Hierarchical Approach Using Marginal Summary Statistics for Multiple Intermediates in a Mendelian Randomization or Transcriptome Analysis

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.02.03.924241
N/A
0DataRank · unranked
1 citations

Shujing Xu, Nicholas Mancuso, Paul J. Newcombe, David V. Conti, Lai Jiang

An integrated risk and epidemiological model to estimate risk-stratified COVID-19 outcomes for Los Angeles County: March 1, 2020—March 1, 2021

PLoS ONE(2021)10.1371/journal.pone.0253549
N/A
0DataRank · unranked
8 citations

Lai Jiang, Faith Washburn, Emil Hvitfeldt, Kayla de la Haye, William Nicholas +6 more

Highly Stretchable, Tissue-like Ag Nanowire-Enhanced Ionogel Nanocomposites as an Ionogel-Based Wearable Sensor for Body Motion Monitoring

ACS Applied Materials & Interfaces(2024)10.1021/acsami.4c10539
N/A
0DataRank · unranked
39 citations

Yizhang Wu, Lai Jiang, Wanrong Xie, Brayden Davis, Meixiang Wang +6 more

Highly Stretchable, Tissue-like Ag Nanowire-Enhanced Ionogel Nanocomposites as an Ionogel-Based Wearable Sensor for Body Motion Monitoring

UNC Libraries(2025)10.17615/d5hc-t638
N/A
0DataRank · unranked
0 citations

Michael D. Dickey, Wanrong Xie, Sicheng Xing, Lai Jiang, Siyuan Liu +6 more