Daniel Korn

About Daniel Korn

Daniel Korn, With an exceptional h-index of 10 and a recent h-index of 10 (since 2020), a distinguished researcher at University of North Carolina at Chapel Hill, specializes in the field of knowledge graphs, data curation, translational science, bioinformatics tools.

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

ExEmPLAR (Extracting, Exploring, and Embedding Pathways Leading to Actionable Research): a user-friendly interface for knowledge graph mining

A translational approach to identifying and targeting TNF signaling in idiopathic multicentric Castleman disease

Small molecule antiviral compound collection (SMACC): A comprehensive, highly curated database to support the discovery of broad-spectrum antiviral drug molecules

Biolink Model: A universal schema for knowledge graphs in clinical, biomedical, and translational science

Compact walks: Taming knowledge-graph embeddings with domain-and task-specific pathways

Defining clinical outcome pathways

STopTox: An in Silico Alternative to Animal Testing for Acute Systemic and Topical Toxicity

TEXT MINING OF THE PEOPLE’S PHARMACY RADIO SHOW TRANSCRIPTS CAN IDENTIFY NOVEL DRUG REPURPOSING HYPOTHESES

Daniel Korn Information

University

Position

PhD Student Department of Computer Science:

Citations(all)

349

Citations(since 2020)

343

Cited By

78

hIndex(all)

10

hIndex(since 2020)

10

i10Index(all)

10

i10Index(since 2020)

10

Email

University Profile Page

Google Scholar

Daniel Korn Skills & Research Interests

knowledge graphs

data curation

translational science

bioinformatics tools

Top articles of Daniel Korn

ExEmPLAR (Extracting, Exploring, and Embedding Pathways Leading to Actionable Research): a user-friendly interface for knowledge graph mining

Bioinformatics

2024/1/1

A translational approach to identifying and targeting TNF signaling in idiopathic multicentric Castleman disease

Blood

2023/11/28

Small molecule antiviral compound collection (SMACC): A comprehensive, highly curated database to support the discovery of broad-spectrum antiviral drug molecules

Antiviral Research

2023/9/1

Compact walks: Taming knowledge-graph embeddings with domain-and task-specific pathways

2022/6/10

Defining clinical outcome pathways

2022/6/1

Daniel Korn
Daniel Korn

H-Index: 6

Alexander Tropsha
Alexander Tropsha

H-Index: 50

STopTox: An in Silico Alternative to Animal Testing for Acute Systemic and Topical Toxicity

Environmental Health Perspectives

2022/2/22

TEXT MINING OF THE PEOPLE’S PHARMACY RADIO SHOW TRANSCRIPTS CAN IDENTIFY NOVEL DRUG REPURPOSING HYPOTHESES

medRxiv

2022/2/4

Knowledge-based approaches to drug discovery for rare diseases

2022/2/1

Daniel Korn
Daniel Korn

H-Index: 6

Alexander Tropsha
Alexander Tropsha

H-Index: 50

Novel Classification of Mono-Molecular Odorants using Standardized Semantic Profiles

2022/1/24

PreSS/MD: Predictor of Skin Sensitization Caused by Chemicals Leaching from Medical Devices

2022/1/3

Exploration of Domain-Specific Knowledge Graphs for Testable Hypothesis Generation

2022

Workflow for Domain-and Task-Sensitive Curation of Knowledge Graphs, with Use Case of DRKG

2022/12/17

Daniel Korn
Daniel Korn

H-Index: 6

Alexander Tropsha
Alexander Tropsha

H-Index: 50

Integrated approach to elucidate metal-implant related adverse outcome pathways

Regulatory Toxicology and Pharmacology

2022/12/1

PreS/MD: Predictor of sensitization hazard for chemical substances released from medical devices

Toxicological Sciences

2022/10/1

COVID-19 Knowledge Extractor (COKE): A Curated Repository of Drug–Target Associations Extracted from the CORD-19 Corpus of Scientific Publications on COVID-19

Journal of Chemical Information and Modeling

2021/11/16

ZINC express: a virtual assistant for purchasing compounds annotated in the ZINC database

Journal of Chemical Information and Modeling

2021/3/5

COVID-KOP: integrating emerging COVID-19 data with the ROBOKOP database

Bioinformatics

2021/2/15

The Rare Disease InfoHub Portal: Actionable Knowledge Appropriately Delivered

2021

Alexander Tropsha
Alexander Tropsha

H-Index: 50

Daniel Korn
Daniel Korn

H-Index: 6

See List of Professors in Daniel Korn University(University of North Carolina at Chapel Hill)

Co-Authors

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