Mengjie Chen

Mengjie Chen

University of Chicago

H-index: 29

North America-United States

About Mengjie Chen

Mengjie Chen, With an exceptional h-index of 29 and a recent h-index of 28 (since 2020), a distinguished researcher at University of Chicago, specializes in the field of Biostatistics, Bioinformatics, Genetics.

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

A new Bayesian factor analysis method improves detection of genes and biological processes affected by perturbations in single-cell CRISPR screening

RBFOX2 recognizes N6-methyladenosine to suppress transcription and block myeloid leukaemia differentiation

Transcriptome-wide profiling and quantification of N6-methyladenosine by enzyme-assisted adenosine deamination

Exon architecture controls mRNA m6A suppression and gene expression

A Cellular atlas of the human fallopian tube reveals the metamorphosis of secretory epithelial cells during the menstrual cycle and menopause

KAS-Analyzer: a novel computational framework for exploring KAS-seq data

Author Correction: m6A RNA modifications are measured at single-base resolution across the mammalian transcriptome

KAS-seq: genome-wide sequencing of single-stranded DNA by N3-kethoxal–assisted labeling

Mengjie Chen Information

University

Position

___

Citations(all)

3326

Citations(since 2020)

2357

Cited By

1201

hIndex(all)

29

hIndex(since 2020)

28

i10Index(all)

43

i10Index(since 2020)

38

Email

University Profile Page

Google Scholar

Mengjie Chen Skills & Research Interests

Biostatistics

Bioinformatics

Genetics

Top articles of Mengjie Chen

A new Bayesian factor analysis method improves detection of genes and biological processes affected by perturbations in single-cell CRISPR screening

Nature Methods

2023/11

Transcriptome-wide profiling and quantification of N6-methyladenosine by enzyme-assisted adenosine deamination

Nature biotechnology

2023/7

A Cellular atlas of the human fallopian tube reveals the metamorphosis of secretory epithelial cells during the menstrual cycle and menopause

medRxiv

2023

KAS-Analyzer: a novel computational framework for exploring KAS-seq data

Bioinformatics Advances

2023/1/1

Author Correction: m6A RNA modifications are measured at single-base resolution across the mammalian transcriptome

Nature biotechnology

2023/1

KAS-seq: genome-wide sequencing of single-stranded DNA by N3-kethoxal–assisted labeling

2022/2

Neoadjuvant chemotherapy induces genomic and transcriptomic changes in ovarian cancer

Cancer research

2022/1/1

A molecular atlas of the human postmenopausal fallopian tube and ovary from single-cell RNA and ATAC sequencing

Cell Reports

2022/12/20

Detection of m6A RNA modifications at single-nucleotide resolution using m6A-selective allyl chemical labeling and sequencing

STAR protocols

2022/12/16

Recent Development of Computational Methods in the Field of Epitranscriptomics

2022/12/9

Quantification of extracellular proteins, protein complexes and mRNAs in single cells by proximity sequencing

Nature Methods

2022/12

KAS-pipe2: a flexible toolkit for exploring KAS-seq and spKAS-seq data

bioRxiv

2022/8/13

Pre-processing, dimension reduction, and clustering for single-cell RNA-seq data

2022/8/5

m6A RNA modifications are measured at single-base resolution across the mammalian transcriptome

Nature biotechnology

2022/8

Effective and scalable single-cell data alignment with non-linear canonical correlation analysis

Nucleic acids research

2022/2/28

A novel Bayesian factor analysis method improves detection of genes and biological processes affected by perturbations in single-cell CRISPR screening

bioRxiv

2022/2/13

Whole-genome analysis of Nigerian patients with breast cancer reveals ethnic-driven somatic evolution and distinct genomic subtypes

Nature Communications

2021/11/26

Extensive pleiotropism and allelic heterogeneity mediate metabolic effects of IRX3 and IRX5

Science

2021/6/4

See List of Professors in Mengjie Chen University(University of Chicago)