World's Best Scientists 2026 revealed!

D-Index & Metrics

Genetics

D-Index
93
Citations
60889
World Ranking
950
National Ranking
469

Medicine

D-Index
96
Citations
62535
World Ranking
9459
National Ranking
4880

Research.com Recognitions

  • 2018 - Fellow of the American Statistical Association (ASA)

Overview

Mingyao Li is affiliated with the University of Pennsylvania in the United States. Their research spans several areas within biochemistry, genetics, molecular biology, and medicine, with a substantial focus on molecular biology, immunology, cancer research, biophysics, and genetics.

Their work is published across various venues, with a notable number of publications in bioRxiv (Cold Spring Harbor Laboratory), UNC Libraries, Cancer Research, Circulation, and Cancer Discovery. These venues reflect a concentration on both foundational biological research and its applications in disease contexts.

Mingyao Li's recent papers include:

  • "SpaGCN: Integrating gene expression, spatial location and histology to identify spatial domains and spatially variable genes by graph convolutional network" (2021, Nature Methods)
  • "Single-Cell Genomics Reveals a Novel Cell State During Smooth Muscle Cell Phenotypic Switching and Potential Therapeutic Targets for Atherosclerosis in Mouse and Human" (2020, Circulation)
  • "Deep learning enables accurate clustering with batch effect removal in single-cell RNA-seq analysis" (2020, Nature Communications)
  • "APOE and TREM2 regulate amyloid-responsive microglia in Alzheimer's disease" (2020, Acta Neuropathologica)
  • "Adeno-Associated Virus-Induced Dorsal Root Ganglion Pathology" (2020, Human Gene Therapy)

The major topics addressed in their research involve:

  • Single-cell and spatial transcriptomics
  • Cell image analysis techniques
  • Molecular biology techniques and applications
  • Gene expression and cancer classification
  • Atherosclerosis and cardiovascular diseases
  • Cancer-related molecular mechanisms research
  • Cancer genomics and diagnostics

The scientist's frequent co-authors include:

  • Muredach P. Reilly
  • Jian Hu
  • Kyle Coleman
  • Hanying Yan
  • Edward B. Lee

The research fields Mingyao Li is actively involved in focus on:

  • Biochemistry, genetics, and molecular biology
  • Medicine

An award associated with Mingyao Li is the Fellow of the American Statistical Association (ASA), received in 2018. This recognition points to a professional engagement with the statistical community relevant to their scientific work.

Best Publications

  • ANNOVAR: functional annotation of genetic variants from high-throughput sequencing data

    Kai Wang;Mingyao Li;Hakon Hakonarson

  • Biological, clinical and population relevance of 95 loci for blood lipids

    Tanya M. Teslovich;Kiran Musunuru;Albert V. Smith;Andrew C. Edmondson

  • Plasma HDL cholesterol and risk of myocardial infarction: A mendelian randomisation study

    Benjamin F. Voight;Benjamin F. Voight;Benjamin F. Voight;Gina M. Peloso;Gina M. Peloso;Marju Orho-Melander;Ruth Frikke-Schmidt

  • Large-scale association analysis identifies 13 new susceptibility loci for coronary artery disease

    Heribert Schunkert;Inke R. König;Sekar Kathiresan;Muredach P. Reilly

  • PennCNV: An integrated hidden Markov model designed for high-resolution copy number variation detection in whole-genome SNP genotyping data

    Kai Wang;Mingyao Li;Dexter Hadley;Rui Liu

  • A large genome-wide association study of age-related macular degeneration highlights contributions of rare and common variants

    Lars G. Fritsche;Wilmar Igl;Jessica N.Cooke Bailey;Felix Grassmann

  • Genome-wide association of early-onset myocardial infarction with single nucleotide polymorphisms and copy number variants.

    Sekar Kathiresan;Benjamin F Voight;Shaun Purcell;Kiran Musunuru

  • Pathway-Based Approaches for Analysis of Genomewide Association Studies

    Kai Wang;Mingyao Li;Maja Bucan

  • Single-cell transcriptomics of the mouse kidney reveals potential cellular targets of kidney disease

    Jihwan Park;Rojesh Shrestha;Chengxiang Qiu;Ayano Kondo

  • Analysing biological pathways in genome-wide association studies

    Kai Wang;Kai Wang;Mingyao Li;Hakon Hakonarson;Hakon Hakonarson

  • Exome sequencing identifies rare LDLR and APOA5 alleles conferring risk for myocardial infarction

    Ron Do;Ron Do;Nathan O. Stitziel;Hong Hee Won;Hong Hee Won;Anders Berg Jørgensen

  • Meta-analysis and imputation refines the association of 15q25 with smoking quantity

    Jason Z. Liu;Federica Tozzi;Dawn M. Waterworth;Sreekumar G. Pillai

  • Bulk tissue cell type deconvolution with multi-subject single-cell expression reference

    Xuran Wang;Jihwan Park;Katalin Susztak;Nancy R. Zhang

  • Identification of ADAMTS7 as a novel locus for coronary atherosclerosis and association of ABO with myocardial infarction in the presence of coronary atherosclerosis: two genome-wide association studies

    Muredach P Reilly;Mingyao Li;Jing He;Jane F Ferguson

  • SAVER: gene expression recovery for single-cell RNA sequencing.

    Mo Huang;Jingshu Wang;Eduardo Torre;Hannah Dueck

  • Widespread RNA and DNA sequence differences in the human transcriptome.

    Mingyao Li;Isabel X. Wang;Yun Li;Alan Bruzel

  • A genome-wide meta-analysis identifies 22 loci associated with eight hematological parameters in the HaemGen consortium

    Nicole Soranzo;Nicole Soranzo;Tim D Spector;Massimo Mangino;Brigitte Kühnel

  • Novel Loci for Adiponectin Levels and Their Influence on Type 2 Diabetes and Metabolic Traits: A Multi-Ethnic Meta-Analysis of 45,891 Individuals

    Z Dastani;Hivert M-F.;Hivert M-F.;N Timpson;Perry Jrb.;Perry Jrb.

  • Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function

    Cristian Pattaro;Alexander Teumer;Mathias Gorski;Audrey Y. Chu

  • SpaGCN: Integrating gene expression, spatial location and histology to identify spatial domains and spatially variable genes by graph convolutional network.

    Jian Hu;Xiangjie Li;Kyle Coleman;Amelia Schroeder

Frequent Co-Authors

Muredach P. Reilly
Muredach P. Reilly Columbia University
Hakon Hakonarson
Hakon Hakonarson Children's Hospital of Philadelphia
Daniel J. Rader
Daniel J. Rader University of Pennsylvania
Struan F.A. Grant
Struan F.A. Grant University of Pennsylvania
Nilesh J. Samani
Nilesh J. Samani University of Leicester
Sekar Kathiresan
Sekar Kathiresan Harvard University
Benjamin F. Voight
Benjamin F. Voight University of Pennsylvania
L. Adrienne Cupples
L. Adrienne Cupples Boston University
Jonathan P. Bradfield
Jonathan P. Bradfield Children's Hospital of Philadelphia
Joseph T. Glessner
Joseph T. Glessner Children's Hospital of Philadelphia

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