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

Shizhen Zhu

Beijing Institute of Technology

ORCID: 0000-0002-2929-3279

Also affiliated with Mayo Clinic, Tangshan College, Mayo Clinic in Arizona

MedicineBiochemistry, Genetics and Molecular Biology

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 10 papers. Top paper: “Metabolic Enzyme DLST Promotes Tumor Aggression and Reveals a Vulnerability to OXPHOS Inhibition in High-Risk Neuroblastoma”.

Metabolic Enzyme DLST Promotes Tumor Aggression and Reveals a Vulnerability to OXPHOS Inhibition in High-Risk Neuroblastoma

Cancer Research(2021)10.1158/0008-5472.can-20-2153
N/A
0DataRank · unranked
68 citations

Xiaodan Qin, Jennifer M. Finan, Andrew Lam, Jacob Athoe, Rindert Missiaen +11 more

A Knowledge-Based Discovery Approach Couples Artificial Neural Networks With Weight Engineering to Uncover Immune-Related Processes Underpinning Clinical Traits of Breast Cancer

Frontiers in Immunology(2022)10.3389/fimmu.2022.920669
N/A
0DataRank · unranked
7 citations

Cristina Correia, Taylor M. Weiskittel, Shyang Hong Tan, Kevin Meng-Lin, Grace Yu +6 more

Gene utility recapitulates chromosomal aberrancies in advanced stage neuroblastoma

Computational and Structural Biotechnology Journal(2022)10.1016/j.csbj.2022.06.024
N/A
0DataRank · unranked
3 citations

Taylor M. Levee, Cheng Zhang, Cristina Correia, Kok Siong Yeo, Hu Li +2 more

Genetic predisposition to neuroblastoma results from a regulatory polymorphism that promotes the adrenergic cell state

Journal of Clinical Investigation(2023)10.1172/jci166919
N/A
0DataRank · unranked
13 citations

Hui Shi, Ting Tao, Derek A. Oldridge, Adam D. Durbin, Brian J. Abraham +10 more

Network Biology-Inspired Machine Learning Features Predict Cancer Gene Targets and Reveal Target Coordinating Mechanisms

Pharmaceuticals(2023)10.3390/ph16050752
N/A
0DataRank · unranked
10 citations

Andrew Cao, Kevin Meng-Lin, Zachary Lehmann, Benjamin Feng, Cristina Correia +6 more

Multiorgan locked-state model of chronic diseases and systems pharmacology opportunities

Drug Discovery Today(2023)10.1016/j.drudis.2023.103825
N/A
0DataRank · unranked
8 citations

Cristina Correia, Hu Li, Christopher M. Adams, Jennifer J. Westendorf, Shizhen Zhu +1 more

SPIN-AI: A Deep Learning Model That Identifies Spatially Predictive Genes

Biomolecules(2023)10.3390/biom13060895
N/A
0DataRank · unranked
6 citations

Choong-Yong Ung, Cheng Zhang, Taylor M. Weiskittel, P. Wiśniewski, Z M Zhang +6 more

Manifold epigenetics: A conceptual model that guides engineering strategies to improve whole-body regenerative health

Frontiers in Cell and Developmental Biology(2023)10.3389/fcell.2023.1122422
N/A
0DataRank · unranked
1 citations

Cristina Correia, Daniel D. Billadeau, Shizhen Zhu, Hu Li, Choong Yong Ung

The Rise of Hypothesis-Driven Artificial Intelligence in Oncology

Cancers(2024)10.3390/cancers16040822
N/A
0DataRank · unranked
25 citations

Cristina Correia, Choong Yong Ung, Shizhen Zhu, Daniel D. Billadeau, Hu Li +1 more

Artificial Clinic Intelligence (ACI): A Generative AI-Powered Modeling Platform to Optimize Patient Cohort Enrichment and Clinical Trial Optimization

Cancers(2025)10.3390/cancers17213543
N/A
0DataRank · unranked
3 citations

Cristina Correia, Z M Zhang, Carter Caya, Shizhen Zhu, Daniel D. Billadeau +2 more