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

Xiaoran Tong

University of Chicago

ORCID: 0000-0002-4648-3330
PsychologySocial Sciences

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 3%percentile
1.4Author 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 Association Meta-analysis of Childhood and Adolescent Internalizing Symptoms

Journal of the American Academy of Child & Adolescent Psychiatry(2022)10.1016/j.jaac.2021.11.035
Top 15%
1.4DataRank
Top 15%67 citations

Anke R. Hammerschlag, Hill F. Ip, Andrea G. Allegrini, Beben Benyamin, Richard Border +89 more

Papers

Driven by 8 papers — median percentile 85. Top paper: “Genome-wide Association Meta-analysis of Childhood and Adolescent Internalizing Symptoms”.

Genome-wide Association Meta-analysis of Childhood and Adolescent Internalizing Symptoms

Journal of the American Academy of Child & Adolescent Psychiatry(2022)10.1016/j.jaac.2021.11.035
Top 15%
1.4DataRank
Top 15%67 citations

Anke R. Hammerschlag, Hill F. Ip, Andrea G. Allegrini, Beben Benyamin, Richard Border +89 more

Polygenic Risk for Insomnia in Adolescents of Diverse Ancestry

Frontiers in Genetics(2021)10.3389/fgene.2021.654717
N/A
0DataRank · unranked
10 citations

Honglei Chen, Qing Lu, Xiaoran Tong, Tengfei Ma

Questionnaire-Based Polyexposure Assessment Outperforms Polygenic Scores for Classification of Type 2 Diabetes in a Multiancestry Cohort

Diabetes Care(2022)10.2337/dc22-0295
N/A
0DataRank · unranked
10 citations

Dillon Lloyd, Adam Burkholder, Xiaoran Tong, John S. House, Eunice Lee +7 more

Fast heritability estimation based on MINQUE and batch training

Briefings in Bioinformatics(2022)10.1093/bib/bbac115
N/A
0DataRank · unranked
3 citations

Tingting Hou, Xiaoran Tong, Xiaoxi Shen, Xuefen Zhang, Tong Wang +2 more

Expectile Neural Networks for Genetic Data Analysis of Complex Diseases

IEEE/ACM Transactions on Computational Biology and Bioinformatics(2022)10.1109/tcbb.2022.3146795
N/A
0DataRank · unranked
9 citations

Xiaoran Tong, Chenxi Li, Qing Lu, Jinghang Lin

Using publicly available data to predict recreational cannabis legalization at the county-level: A machine learning approach

International Journal of Drug Policy(2024)10.1016/j.drugpo.2024.104340
N/A
0DataRank · unranked
1 citations

Xiaoran Tong, Olga A. Vsevolozhskaya, James C. Anthony, Barrett Montgomery

Novel strategy for disease risk prediction incorporating predicted gene expression and DNA methylation data: a multi‐phased study of prostate cancer

Cancer Communications(2021)10.1002/cac2.12205
N/A
0DataRank · unranked
22 citations

Jingjing Zhu, Austin King, Xiaoran Tong, Qing Lu, Jong Y. Park +13 more

Joint modeling of genomic and exposomic data reveals a substantial GxE component in type 2 diabetes etiology

Research Square(2024)10.21203/rs.3.rs-3832061/v1
N/A
0DataRank · unranked
0 citations

Xiaoran Tong, John S. House, Adam Burkholder, David C. Fargo, Charles Schmitt +3 more