Minji Jeon

Minji Jeon

Icahn School of Medicine at Mount Sinai

H-index: 17

North America-United States

About Minji Jeon

Minji Jeon, With an exceptional h-index of 17 and a recent h-index of 16 (since 2020), a distinguished researcher at Icahn School of Medicine at Mount Sinai, specializes in the field of AI-driven drug discovery, Bioinformatics, Machine learning.

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

Co-attention Graph Pooling for Efficient Pairwise Graph Interaction Learning

Systems immunology-based drug repurposing framework to target inflammation in atherosclerosis

PrismEXP: gene annotation prediction from stratified gene-gene co-expression matrices

lncHUB2: aggregated and inferred knowledge about human and mouse lncRNAs

Gpr83 Tunes Nociceptor Function, Controlling Pain

Transforming L1000 profiles to RNA-seq-like profiles with deep learning

SigCom LINCS: data and metadata search engine for a million gene expression signatures

Getting Started with LINCS Datasets and Tools

Minji Jeon Information

University

Position

___

Citations(all)

2766

Citations(since 2020)

2651

Cited By

444

hIndex(all)

17

hIndex(since 2020)

16

i10Index(all)

18

i10Index(since 2020)

18

Email

University Profile Page

Google Scholar

Minji Jeon Skills & Research Interests

AI-driven drug discovery

Bioinformatics

Machine learning

Top articles of Minji Jeon

Co-attention Graph Pooling for Efficient Pairwise Graph Interaction Learning

IEEE Access

2023/7/27

Systems immunology-based drug repurposing framework to target inflammation in atherosclerosis

Nature cardiovascular research

2023/6

PrismEXP: gene annotation prediction from stratified gene-gene co-expression matrices

PeerJ

2023/2/27

lncHUB2: aggregated and inferred knowledge about human and mouse lncRNAs

Database

2023/1/1

Minji Jeon
Minji Jeon

H-Index: 9

Alexander Lachmann
Alexander Lachmann

H-Index: 21

Gpr83 Tunes Nociceptor Function, Controlling Pain

Neurotherapeutics

2023/1/1

Transforming L1000 profiles to RNA-seq-like profiles with deep learning

BMC bioinformatics

2022/9/13

Minji Jeon
Minji Jeon

H-Index: 9

SigCom LINCS: data and metadata search engine for a million gene expression signatures

Nucleic acids research

2022/7/5

Getting Started with LINCS Datasets and Tools

Current protocols

2022/7

Crowdsourced mapping of unexplored target space of kinase inhibitors

Nature communications

2021/6/3

Appyters: Turning Jupyter Notebooks into data-driven web apps

Patterns

2021/3/12

Gene Set Knowledge Discovery with Enrichr

Current protocols

2021/3

Prioritizing Pain-Associated Targets with Machine Learning

Biochemistry

2021/2/19

Minji Jeon
Minji Jeon

H-Index: 9

Eryk Kropiwnicki
Eryk Kropiwnicki

H-Index: 3

Drugmonizome and Drugmonizome-ML: integration and abstraction of small molecule attributes for drug enrichment analysis and machine learning

Database

2021/1/1

Can Language Models be Biomedical Knowledge Bases?

arXiv preprint arXiv:2109.07154

2021/9/15

Crowdsourced identification of multi-target kinase inhibitors for RET-and TAU-based disease: The Multi-Targeting Drug DREAM Challenge

PLoS computational biology

2021/9/14

Method and apparatus for new drug candidate discovery

2021/7/1

A Drug-Induced Liver Injury Prediction Model using Transcriptional Response Data with Graph Neural Network

2020/2/19

Minji Jeon
Minji Jeon

H-Index: 9

See List of Professors in Minji Jeon University(Icahn School of Medicine at Mount Sinai)

Co-Authors

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