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

Yongchao Huang

Tianjin Normal University

ORCID: 0000-0003-4951-4726

Also affiliated with Beijing Normal University, University of Illinois Chicago, Department of Physics, Mathematics and Informatics

MedicineBiochemistry, Genetics and Molecular BiologyPsychology

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 100%percentile
0Author DataRank

Indexed papers

0in pilot corpus
datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 6 papers. Top paper: “Genetic and morphological estimates of androgen exposure predict social deficits in multiple neurodevelopmental disorder cohorts”.

Genetic and morphological estimates of androgen exposure predict social deficits in multiple neurodevelopmental disorder cohorts

medRxiv(2020)10.1101/2020.08.03.20155671
N/A
0DataRank · unranked
0 citations

Yongchao Huang, Kévin Vervier, Dabney Hofamman, Mary Cafferata, Seima Al‐Momani +13 more

Genetic and morphological estimates of androgen exposure predict social deficits in multiple neurodevelopmental disorder cohorts

Molecular Autism(2021)10.1186/s13229-021-00450-w
N/A
0DataRank · unranked
12 citations

Yongchao Huang, Kévin Vervier, Dabney Hofammann, Mary Cafferata, Seima Al‐Momani +13 more

MED12 mutation activates the tryptophan/kynurenine/AHR pathway to promote growth of uterine leiomyomas

JCI Insight(2023)10.1172/jci.insight.171305
N/A
0DataRank · unranked
16 citations

Yongchao Huang, Ariel J. Dotts, Helen Wei, John S. Coon, Shimeng Liu +10 more

Predicting prenatal depression and assessing model bias using machine learning models

medRxiv(2023)10.1101/2023.07.17.23292587
N/A
0DataRank · unranked
6 citations

Suzanne Alvernaz, Sage J. Kim, Pauline M. Maki, Yang Dai, Beatriz Peñalver Bernabé +1 more

Predicting Prenatal Depression and Assessing Model Bias Using Machine Learning Models

Biological Psychiatry Global Open Science(2024)10.1016/j.bpsgos.2024.100376
N/A
0DataRank · unranked
15 citations

Suzanne Alvernaz, Sage J. Kim, Pauline M. Maki, Yang Dai, Beatriz Peñalver Bernabé +1 more

Leveraging neighborhood-level Information to Improve Model Fairness in Predicting Prenatal Depression

medRxiv(2025)10.1101/2025.05.12.25327329
N/A
0DataRank · unranked
0 citations

Suzanne Alvernaz, Sage J. Kim, Pauline M. Maki, Andrew D. Boyd, Yang Dai +2 more