Yujing Song

Yujing Song

University of Michigan

H-index: 10

North America-United States

About Yujing Song

Yujing Song, With an exceptional h-index of 10 and a recent h-index of 9 (since 2020), a distinguished researcher at University of Michigan, specializes in the field of Single Molecule Detection, Microfluidic Assays, NGS, Cellular Immunophenotyping, Plasmonics.

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

Miniaturized microarray-format digital ELISA enabled by lithographic protein patterning

A tissue chip with integrated digital immunosensors: In situ brain endothelial barrier cytokine secretion monitoring

Systems and methods for rapid, sensitive multiplex immunoassays

Systems and methods for performing immunoassays

Machine-learning-assisted microfluidic nanoplasmonic digital immunoassay for cytokine storm profiling in COVID-19 patients

Ultrasensitive Multiparameter Phenotyping of Rare Cells Using an Integrated Digital‐Molecular‐Counting Microfluidic Well Plate

Machine learning-based cytokine microarray digital immunoassay analysis

Rapid single-molecule digital detection of protein biomarkers for continuous monitoring of systemic immune disorders

Yujing Song Information

University

Position

Ph.D. Candidate

Citations(all)

407

Citations(since 2020)

361

Cited By

127

hIndex(all)

10

hIndex(since 2020)

9

i10Index(all)

10

i10Index(since 2020)

9

Email

University Profile Page

Google Scholar

Yujing Song Skills & Research Interests

Single Molecule Detection

Microfluidic Assays

NGS

Cellular Immunophenotyping

Plasmonics

Top articles of Yujing Song

Miniaturized microarray-format digital ELISA enabled by lithographic protein patterning

Biosensors and Bioelectronics

2023/10/1

A tissue chip with integrated digital immunosensors: In situ brain endothelial barrier cytokine secretion monitoring

Biosensors and Bioelectronics

2023/3/15

Systems and methods for rapid, sensitive multiplex immunoassays

2022/12/15

Systems and methods for performing immunoassays

2022/3/17

Machine-learning-assisted microfluidic nanoplasmonic digital immunoassay for cytokine storm profiling in COVID-19 patients

ACS nano

2021/10/29

Ultrasensitive Multiparameter Phenotyping of Rare Cells Using an Integrated Digital‐Molecular‐Counting Microfluidic Well Plate

Small

2021/8

Machine learning-based cytokine microarray digital immunoassay analysis

Biosensors and Bioelectronics

2021/5/15

Rapid single-molecule digital detection of protein biomarkers for continuous monitoring of systemic immune disorders

Blood, The Journal of the American Society of Hematology

2021/3/25

A digital protein microarray for COVID-19 cytokine storm monitoring

Lab on a Chip

2021

Treatment of cytokine storm in COVID-19 patients with immunomodulatory therapy

Asaio Journal

2020/11/1

Machine Learning-Based Protein Microarray Digital Assay Analysis

bioRxiv

2020/8/4

Ultrafast Microfluidic Immunoassays towards Real-Time Intervention of Cytokine Storms

2020

Yujing Song
Yujing Song

H-Index: 5

Biosensors: An Integrated Plasmo‐Photoelectronic Nanostructure Biosensor Detects an Infection Biomarker Accompanying Cell Death in Neutrophils (Small 1/2020)

Small

2020/1

An Integrated Plasmo‐Photoelectronic Nanostructure Biosensor Detects an Infection Biomarker Accompanying Cell Death in Neutrophils

Small

2020/1

See List of Professors in Yujing Song University(University of Michigan)

Co-Authors

academic-engine