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

Shizhong Han

Johns Hopkins University

ORCID: 0000-0002-5114-6742

Also affiliated with Johns Hopkins Medicine, Lieber Institute for Brain Development

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 100%percentile
0Author DataRank

Indexed papers

0in pilot corpus
datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 17 papers. Top paper: “Deep learning predicts DNA methylation regulatory variants in specific brain cell types and enhances fine mapping for brain disorders”.

Deep learning predicts DNA methylation regulatory variants in specific brain cell types and enhances fine mapping for brain disorders

Science Advances(2025)10.1126/sciadv.adn1870
N/A
0.325DataRank · unranked
6 citations

Daniel R. Weinberger, Shizhong Han, Jiyun Zhou

Deep learning predicts DNA methylation regulatory variants in specific brain cell types and enhances fine mapping for brain disorders

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.01.18.576319
N/A
0.104DataRank · unranked
1 citations

Daniel R. Weinberger, Shizhong Han, Jiyun Zhou

Genome-wide sequencing-based identification of methylation quantitative trait loci and their role in schizophrenia risk

Nature Communications(2021)10.1038/s41467-021-25517-3
N/A
0DataRank · unranked
70 citations

Nicholas J. Eagles, Richard Wilton, Amanda J. Price, Stephen A. Semick, Leonardo Collado‐Torres +9 more

Molecular phenotypes associated with antipsychotic drugs in the human caudate nucleus

medRxiv(2021)10.1101/2021.10.11.21264848
N/A
0DataRank · unranked
5 citations

Nicholas J. Eagles, Amy Deep‐Soboslay, Ran Tao, Shizhong Han, Richard Wilton +6 more

Editorial: Machine Learning and Network-Driven Integrative Genomics

Frontiers in Genetics(2021)10.3389/fgene.2021.660201
N/A
0DataRank · unranked
1 citations

Shizhong Han, Richard S. Lee, Mehdi Pirooznia

Prioritization of potential causative genes for schizophrenia in placenta

Nature Communications(2023)10.1038/s41467-023-38140-1
N/A
0DataRank · unranked
31 citations

Pasquale Di Carlo, Sreya Mukherjee, Qiang Chen, Shizhong Han, Ji-Young Kim +7 more

Investigating trait variability of gene co-expression network architecture in brain by controlling for genomic risk of schizophrenia

PLoS Genetics(2023)10.1371/journal.pgen.1010989
N/A
0DataRank · unranked
3 citations

Qiang Chen, Giulio Pergola, Pasquale Di Carlo, Shizhong Han, Joo Heon Shin +4 more

Genetic and environmental contributions to ancestry differences in gene expression in the human brain

Research Square(2023)10.21203/rs.3.rs-2922172/v1
N/A
0DataRank · unranked
2 citations

Qiang Chen, Nicholas J. Eagles, Louise A. Huuki-Myers, Leonardo Collado‐Torres, Joshua M. Stolz +8 more

Genetic and environmental contributions to ancestry differences in gene expression in the human brain

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.03.28.534458
N/A
0DataRank · unranked
1 citations

Qiang Chen, Nicholas J. Eagles, Louise A. Huuki-Myers, Leonardo Collado‐Torres, Joshua M. Stolz +9 more

Analysis of gene expression in the postmortem brain of neurotypical Black Americans reveals contributions of genetic ancestry

Nature Neuroscience(2024)10.1038/s41593-024-01636-0
N/A
0DataRank · unranked
28 citations

Qiang Chen, Nicholas J. Eagles, Louise A. Huuki-Myers, Leonardo Collado‐Torres, Joshua M. Stolz +9 more

α-Synuclein strain dynamics predict cognitive transitions in Parkinson’s disease

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.10.22.619694
N/A
0DataRank · unranked
3 citations

Ning Wang, Kyungdo Kim, Enquan Xu, Xiaodi Zhang, Hanyu Li +30 more

scMeFormer: a transformer-based deep learning model for imputing DNA methylation states in single cells enhances the detection of epigenetic alterations in schizophrenia

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.01.25.577200
N/A
0DataRank · unranked
0 citations

Chongyuan Luo, Hanqing Liu, Matthew G. Heffel, Richard E. Straub, Joel E. Kleinman +5 more

Classification of Schizophrenia, Bipolar Disorder and Major Depressive Disorder with Comorbid Traits and Deep Learning Algorithms

Research Square(2024)10.21203/rs.3.rs-4001384/v1
N/A
0DataRank · unranked
0 citations

Yimei Liu, Joan Manuel Cue, Mira Han, Vishwajit L. Nimgaonkar, Daniel R. Weinberger +4 more

Deep learning imputes DNA methylation states in single cells and enhances the detection of epigenetic alterations in schizophrenia

Cell Genomics(2025)10.1016/j.xgen.2025.100774
N/A
0DataRank · unranked
8 citations

Chongyuan Luo, Hanqing Liu, Matthew G. Heffel, Richard E. Straub, Joel E. Kleinman +5 more

A Machine Learning Approach to Predicting Autism Risk Genes: Validation of Known Genes and Discovery of New Candidates

Frontiers in Genetics(2020)10.3389/fgene.2020.500064
N/A
0DataRank · unranked
61 citations

Shiva Afshar, Anjali M. Rajadhyaksha, James B. Potash, Shizhong Han, Ying Lin

Classification of schizophrenia, bipolar disorder and major depressive disorder with comorbid traits and deep learning algorithms

Schizophrenia(2025)10.1038/s41537-025-00564-7
N/A
0DataRank · unranked
6 citations

Yimei Lu, Joan Manuel Cue, Mira Han, Vishwajit L. Nimgaonkar, Daniel R. Weinberger +4 more

Widespread methylation quantitative trait loci and their role in schizophrenia risk

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.09.24.311878
N/A
0DataRank · unranked
2 citations

Nicholas J. Eagles, Richard Wilton, Amanda J. Price, Stephen A. Semick, Leonardo Collado‐Torres +8 more