Sai Zhang

Sai Zhang

Stanford University

H-index: 16

North America-United States

About Sai Zhang

Sai Zhang, With an exceptional h-index of 16 and a recent h-index of 15 (since 2020), a distinguished researcher at Stanford University, specializes in the field of Computational Biology, Machine Learning, Genetics, Genomics, Complex Diseases.

His recent articles reflect a diverse array of research interests and contributions to the field:

Rare and common genetic determinants of mitochondrial function determine severity but not risk of amyotrophic lateral sclerosis

Deep learning modeling of rare noncoding genetic variants in human motor neurons defines CCDC146 as a therapeutic target for ALS

PRS-Net: Interpretable polygenic risk scores via geometric learning

Low expression of EXOSC2 protects against clinical COVID-19 and impedes SARS-CoV-2 replication

BRAIN COMMUNICATIONS AIN COMMUNICATIONS

Longitudinally tracking personal physiomes for precision management of childhood epilepsy

Systems analysis of de novo mutations in congenital heart diseases identified a protein network in the hypoplastic left heart syndrome

Deep learning-based pseudo-mass spectrometry imaging analysis for precision medicine

Sai Zhang Information

University

Position

Postdoc

Citations(all)

1146

Citations(since 2020)

958

Cited By

486

hIndex(all)

16

hIndex(since 2020)

15

i10Index(all)

21

i10Index(since 2020)

18

Email

University Profile Page

Google Scholar

Sai Zhang Skills & Research Interests

Computational Biology

Machine Learning

Genetics

Genomics

Complex Diseases

Top articles of Sai Zhang

Rare and common genetic determinants of mitochondrial function determine severity but not risk of amyotrophic lateral sclerosis

Heliyon

2024/2/15

Deep learning modeling of rare noncoding genetic variants in human motor neurons defines CCDC146 as a therapeutic target for ALS

medRxiv

2024

PRS-Net: Interpretable polygenic risk scores via geometric learning

bioRxiv

2024

Low expression of EXOSC2 protects against clinical COVID-19 and impedes SARS-CoV-2 replication

Life Science Alliance

2023/1/1

BRAIN COMMUNICATIONS AIN COMMUNICATIONS

2022

Longitudinally tracking personal physiomes for precision management of childhood epilepsy

PLOS Digital Health

2022/12/19

Systems analysis of de novo mutations in congenital heart diseases identified a protein network in the hypoplastic left heart syndrome

Cell systems

2022/11/16

Deep learning-based pseudo-mass spectrometry imaging analysis for precision medicine

Briefings in Bioinformatics

2022/9

Multiomic analysis reveals cell-type-specific molecular determinants of COVID-19 severity

Cell systems

2022/8/17

Mitochondrial function determines severity but not risk of amyotrophic lateral sclerosis

bioRxiv

2022/6/1

Precision environmental health monitoring by longitudinal exposome and multi-omics profiling

Genome research

2022/6/1

Unbiased metabolome screen leads to personalized medicine strategy for amyotrophic lateral sclerosis

Brain Communications

2022

A review of Mendelian randomization in amyotrophic lateral sclerosis

2022/3/1

Tobias Moll
Tobias Moll

H-Index: 4

Sai Zhang
Sai Zhang

H-Index: 11

Membrane lipid raft homeostasis is directly linked to neurodegeneration

2021/12

Advances in the genetic classification of amyotrophic lateral sclerosis

2021/10/1

Common and rare variant analyses combined with single-cell multiomics reveal cell-type-specific molecular mechanisms of COVID-19 severity

medRxiv

2021/6/21

Physical exercise is a risk factor for amyotrophic lateral sclerosis: Convergent evidence from Mendelian randomisation, transcriptomics and risk genotypes

EBioMedicine

2021/6/1

Tobias Moll
Tobias Moll

H-Index: 4

Sai Zhang
Sai Zhang

H-Index: 11

Processes for Genetic and Clinical Data Evaluation and Classification of Complex Human Traits

2021/5/27

Precision medicine in women with epilepsy: the challenge, systematic review, and future direction

2021/5/1

Yi Li
Yi Li

H-Index: 3

Sai Zhang
Sai Zhang

H-Index: 11

See List of Professors in Sai Zhang University(Stanford University)

Co-Authors

academic-engine