Ko‐Hong Lin

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 5 papers. Top paper: “Synthesize Heterogeneous Biological Knowledge via Representation Learning for Alzheimer’s Disease Drug Repurposing”.

Synthesize Heterogeneous Biological Knowledge via Representation Learning for Alzheimer’s Disease Drug Repurposing

medRxiv(2021)10.1101/2021.12.03.21267235

N/A

0DataRank · unranked

3 citations

Germán Plascencia‐Villa, Ko‐Hong Lin, George Perry, Xiaoqian Jiang, Yejin Kim +1 more

Synthesize heterogeneous biological knowledge via representation learning for Alzheimer’s disease drug repurposing

iScience(2022)10.1016/j.isci.2022.105678

N/A

0DataRank · unranked

20 citations

Germán Plascencia‐Villa, Ko‐Hong Lin, George Perry, Xiaoqian Jiang, Yejin Kim +1 more

Multi-Task Graph Neural Network For Alzheimer’s Disease Drug Repurposing Using Knowledge Graph And Multi-Level Evidence

Research Square(2022)10.21203/rs.3.rs-1261984/v1

N/A

0DataRank · unranked

0 citations

Germán Plascencia‐Villa, Ko‐Hong Lin, George Perry, Xiaoqian Jiang, Yejin Kim +1 more

Explainable drug side effect prediction via biologically informed graph neural network

medRxiv(2023)10.1101/2023.05.26.23290615

N/A

0DataRank · unranked

4 citations

Ko‐Hong Lin, Rodrigo Machado‐Vieira, Jair C. Soares, Xiaoqian Jiang, Yejin Kim +1 more

HeteroRepur: Efficient Modeling of Heterogeneous Disease Graph for Depression Drug Repurposing using Heterogeneous Graph Neural Networks

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2024.12.18.629087

N/A

0DataRank · unranked

0 citations

Tongtong Huang, Kai Zhang, Xiaoqian Jiang, Yejin Kim, Ko‐Hong Lin