Christopher Mancuso

Christopher Mancuso

Michigan State University

H-index: 16

North America-United States

About Christopher Mancuso

Christopher Mancuso, With an exceptional h-index of 16 and a recent h-index of 14 (since 2020), a distinguished researcher at Michigan State University, specializes in the field of Computational Biology, Genetics, Data-Driven Modeling.

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

Arginine-NO metabolites are associated with morbidity in single ventricle infants undergoing stage 2 palliation

Joint representation of molecular networks from multiple species improves gene classification

The Proteomic Fingerprint in Patients With Single Ventricle Disease in the Interstage Period: Evidence of Chronic Inflammation and Widespread Activation of Biological Networks

195 Sinonasal epithelial responses to long-term highly effective CFTR modulator therapy

Novel biomarkers of necrotizing enterocolitis in neonates undergoing congenital heart disease surgery: a pilot cohort study

PyGenePlexus: a Python package for gene discovery using network-based machine learning

The proteomic fingerprint in infants with single ventricle heart disease in the interstage period: evidence of chronic inflammation and widespread activation of biological networks

A network-based approach for isolating the chronic inflammation gene signatures underlying complex diseases towards finding new treatment opportunities

Christopher Mancuso Information

University

Position

___

Citations(all)

1790

Citations(since 2020)

1108

Cited By

1188

hIndex(all)

16

hIndex(since 2020)

14

i10Index(all)

20

i10Index(since 2020)

18

Email

University Profile Page

Google Scholar

Christopher Mancuso Skills & Research Interests

Computational Biology

Genetics

Data-Driven Modeling

Top articles of Christopher Mancuso

Arginine-NO metabolites are associated with morbidity in single ventricle infants undergoing stage 2 palliation

Pediatric Research

2024/4/2

Joint representation of molecular networks from multiple species improves gene classification

PLOS Computational Biology

2024/1/10

The Proteomic Fingerprint in Patients With Single Ventricle Disease in the Interstage Period: Evidence of Chronic Inflammation and Widespread Activation of Biological Networks

Circulation

2023/11/7

195 Sinonasal epithelial responses to long-term highly effective CFTR modulator therapy

Journal of Cystic Fibrosis

2023/10/1

Novel biomarkers of necrotizing enterocolitis in neonates undergoing congenital heart disease surgery: a pilot cohort study

Journal of the American Heart Association

2023/8/1

PyGenePlexus: a Python package for gene discovery using network-based machine learning

Bioinformatics

2023/2

The proteomic fingerprint in infants with single ventricle heart disease in the interstage period: evidence of chronic inflammation and widespread activation of biological networks

Frontiers in Pediatrics

2023

A network-based approach for isolating the chronic inflammation gene signatures underlying complex diseases towards finding new treatment opportunities

Frontiers in pharmacology

2022/1/1

GenePlexus: a web-server for gene discovery using network-based machine learning

Nucleic Acids Research

2022/7/5

Real-time reconstruction of high energy, ultrafast laser pulses using deep learning

Scientific reports

2022/3/29

Real-time reconstruction of intense, ultrafast laser pulses using deep learning

arXiv preprint arXiv:2104.08372

2021/4/16

A flexible, interpretable, and accurate approach for imputing the expression of unmeasured genes

Nucleic acids research

2020/12/2

Supervised learning is an accurate method for network-based gene classification

Bioinformatics

2020/6

See List of Professors in Christopher Mancuso University(Michigan State University)

Co-Authors

academic-engine