Samuel Yang

Samuel Yang

Stanford University

H-index: 41

North America-United States

About Samuel Yang

Samuel Yang, With an exceptional h-index of 41 and a recent h-index of 28 (since 2020), a distinguished researcher at Stanford University, specializes in the field of Infectious Disease, Emergency Medicine, Molecular Diagnostics.

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

Re-visiting humoral constitutive antibacterial heterogeneity in bloodstream infections

Translating microbiota analysis for clinical applications

Development and external validation of a pretrained deep learning model for the prediction of non-accidental trauma

Development of a definition of postacute sequelae of SARS-CoV-2 infection

Rapid Molecular Phenotypic Antimicrobial Susceptibility Test for Neisseria gonorrhoeae Based on Propidium Monoazide Viability PCR

Neutrophil Extracellular Traps have DNAzyme activity that drives bactericidal potential

Phage diversity in cell-free DNA identifies bacterial pathogens in human sepsis cases

SARS-CoV-2 IgG seropositivity and acute asymptomatic infection rate among firefighter first responders in an early outbreak county in California

Samuel Yang Information

University

Position

___

Citations(all)

7365

Citations(since 2020)

3665

Cited By

6692

hIndex(all)

41

hIndex(since 2020)

28

i10Index(all)

84

i10Index(since 2020)

70

Email

University Profile Page

Stanford University

Google Scholar

View Google Scholar Profile

Samuel Yang Skills & Research Interests

Infectious Disease

Emergency Medicine

Molecular Diagnostics

Top articles of Samuel Yang

Title

Journal

Author(s)

Publication Date

Re-visiting humoral constitutive antibacterial heterogeneity in bloodstream infections

Ryuichiro Abe

Nikhil Ram-Mohan

Samuel Yang

2024/4/1

Translating microbiota analysis for clinical applications

Jyong-Huei Lee

Siew Mei Chin

Kathleen E Mach

April M Bobenchik

Joseph C Liao

...

2024/2/28

Development and external validation of a pretrained deep learning model for the prediction of non-accidental trauma

NPJ Digital Medicine

David Huang

Steven Cogill

Renee Y Hsia

Samuel Yang

David Kim

2023/7/19

Development of a definition of postacute sequelae of SARS-CoV-2 infection

Jama

Tanayott Thaweethai

Sarah E Jolley

Elizabeth W Karlson

Emily B Levitan

Bruce Levy

...

2023/6/13

Rapid Molecular Phenotypic Antimicrobial Susceptibility Test for Neisseria gonorrhoeae Based on Propidium Monoazide Viability PCR

ACS Infectious Diseases

Kristel C Tjandra

Nikhil Ram-Mohan

Ryuichiro Abe

Tza-Huei Wang

Samuel Yang

2023/4/28

Neutrophil Extracellular Traps have DNAzyme activity that drives bactericidal potential

bioRxiv

Ti-Hsuan Ku

Nikhil Ram-Mohan

Elizabeth J Zudock

Ryuichiro Abe

Samuel Yang

2023/10/24

Phage diversity in cell-free DNA identifies bacterial pathogens in human sepsis cases

Nature Microbiology

Naomi L Haddock

Layla J Barkal

Nikhil Ram-Mohan

Gernot Kaber

Charles Y Chiu

...

2023/8

SARS-CoV-2 IgG seropositivity and acute asymptomatic infection rate among firefighter first responders in an early outbreak county in California

Prehospital Emergency Care

Jennifer A Newberry

Marc Gautreau

Katherine Staats

Eli Carrillo

William Mulkerin

...

2022/1/2

Integrating deep learning and unbiased automated high-content screening to identify complex disease signatures in human fibroblasts

Nature Communications

Lauren Schiff

Bianca Migliori

Ye Chen

Deidre Carter

Caitlyn Bonilla

...

2022/3/25

Anti-nucleocapsid antibody levels and pulmonary comorbid conditions are linked to post–COVID-19 syndrome

JCI insight

Xiaolin Jia

Shu Cao

Alexandra S Lee

Monali Manohar

Sayantani B Sindher

...

2022/7/7

MorphoAST–A Machine Learning Workflow for Sub-Doubling Time Single Cell Antimicrobial Susceptibility Testing

bioRxiv

Kristel C Tjandra

Nikhil Ram-Mohan

Manuel Roshardt

Zhaonan Qu

Elizabeth Zudock

...

2022/11/4

Prevalence of sensitive terms in clinical notes using natural language processing techniques: observational study

JMIR Medical Informatics

Jennifer Lee

Samuel Yang

Cynthia Holland-Hall

Emre Sezgin

Manjot Gill

...

2022/6/10

Detection of bacterial co-infections and prediction of fatal outcomes in COVID-19 patients presenting to the emergency department using a 29 mRNA host response classifier

medRxiv

Nikhil Ram-Mohan

Angela J Rogers

Catherine A Blish

Kari C Nadeau

Elizabeth J Zudock

...

2022/3/17

Origin of novel coronavirus causing COVID-19: A computational biology study using artificial intelligence

Machine learning with applications

Thanh Thi Nguyen

Mohamed Abdelrazek

Dung Tien Nguyen

Sunil Aryal

Duc Thanh Nguyen

...

2022/9/15

Biochemical, biophysical, and immunological characterization of respiratory secretions in severe SARS-CoV-2 infections

JCI insight

Michael J Kratochvil

Gernot Kaber

Sally Demirdjian

Pamela C Cai

Elizabeth B Burgener

...

2022/6/6

Association between SARS-CoV-2 RNAemia and postacute sequelae of COVID-19

Open Forum Infectious Diseases

Nikhil Ram-Mohan

David Kim

Angela J Rogers

Catherine A Blish

Kari C Nadeau

...

2022/2/1

Deconvoluting complex correlates of COVID-19 severity with a multi-omic pandemic tracking strategy

Nature communications

Victoria N Parikh

Alexander G Ioannidis

David Jimenez-Morales

John E Gorzynski

Hannah N De Jong

...

2022/8/30

Disease diagnostics using machine learning of immune receptors

Biorxiv

Maxim E Zaslavsky

Erin Craig

Jackson K Michuda

Nidhi Sehgal

Nikhil Ram-Mohan

...

2022/4/28

SARS-CoV-2 RNAemia predicts clinical deterioration and extrapulmonary complications from COVID-19

Clinical Infectious Diseases

Nikhil Ram-Mohan

David Kim

Elizabeth J Zudock

Marjan M Hashemi

Kristel C Tjandra

...

2022/1/15

The circulating phageome reflects bacterial infections

bioRxiv

NL Haddock

LJ Barkal

Nikhil Ram-Mohan

Gernot Kaber

CY Chiu

...

2022/8/15

See List of Professors in Samuel Yang University(Stanford University)

Co-Authors

H-index: 162
Thomas C Quinn, MD, MSc

Thomas C Quinn, MD, MSc

Johns Hopkins University

H-index: 86
Karen Carroll

Karen Carroll

Johns Hopkins University

H-index: 56
Tza-Huei "Jeff" Wang

Tza-Huei "Jeff" Wang

Johns Hopkins University

H-index: 34
Yi Zhang

Yi Zhang

Nanyang Technological University

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