Yejin Kim

The University of Texas Health Science Center

Also affiliated with The University of Texas Health Science Center at Houston

Computer ScienceMedicineBiochemistry, Genetics and Molecular BiologyNeuroscience

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 25 papers. Top paper: “Drug repurposing for COVID-19 using graph neural network and harmonizing multiple evidence”.

Drug repurposing for COVID-19 using graph neural network and harmonizing multiple evidence

Scientific Reports(2021)10.1038/s41598-021-02353-5

N/A

0.639DataRank · unranked

70 citations

Yinyin Wang, Luyao Chen, Zhongming Zhao, Sean I. Savitz, Xiaoqian Jiang +3 more

Emulate randomized clinical trials using heterogeneous treatment effect estimation for personalized treatments: Methodology review and benchmark

Journal of Biomedical Informatics(2022)10.1016/j.jbi.2022.104256

N/A

0.505DataRank · unranked

28 citations

Pulakesh Upadhyaya, Luyao Chen, Xiaoqian Jiang, Yejin Kim, Yaobin Ling

Prediction of Mild Cognitive Impairment Status: Pilot Study of Machine Learning Models Based on Longitudinal Data From Fitness Trackers

JMIR Formative Research(2024)10.2196/55575

N/A

0.330DataRank · unranked

8 citations

Yejin Kim, Karen Chung, Paul E. Schulz, Assaf Gottlieb, Qidi Xu

Counterfactual analysis of differential comorbidity risk factors in Alzheimer’s disease and related dementias

PLOS Digital Health(2022)10.1371/journal.pdig.0000018

N/A

0.312DataRank · unranked

7 citations

Kai Zhang, Sean I. Savitz, Luyao Chen, Paul E. Schulz, Xiaoqian Jiang +1 more

Clinical outcome-guided deep temporal clustering for disease progression subtyping

Journal of Biomedical Informatics(2024)10.1016/j.jbi.2024.104732

N/A

0.290DataRank · unranked

4 citations

Xiaotian Ma, Paul E. Schulz, Xiaoqian Jiang, Yejin Kim, Dulin Wang

Multi agent large language models for biomedical hypothesis generation in drug combination discovery

iScience(2025)10.1016/j.isci.2025.113984

N/A

0.208DataRank · unranked

3 citations

Claudio Soto, Mohammad Shahnawaz, Xiaozhong Liu, Xiaoqian Jiang, Yejin Kim +1 more

An interpretable framework to identify responsive subgroups from clinical trials regarding treatment effects: Application to treatment of intracerebral hemorrhage

PLOS Digital Health(2024)10.1371/journal.pdig.0000493

N/A

0.165DataRank · unranked

2 citations

Muhammad Bilal Tariq, Kaichen Tang, Jaroslaw Aronowski, Yang C. Fann, Sean I. Savitz +3 more

CancerGPT: Few-shot Drug Pair Synergy Prediction using Large Pre-trained Language Models

arXiv (Cornell University)(2023)10.48550/arxiv.2304.10946

N/A

0.165DataRank · unranked

2 citations

Sandesh Shetty, Advaith Kamath, Ajay Jaiswal, Xianqian Jiang, Ying Ding +2 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

Inferring Personalized Treatment Effect of Antihypertensives on Alzheimer’s Disease Using Deep Learning

PubMed(2023)10.1109/ichi57859.2023.00018

N/A

0DataRank · unranked

2 citations

Yaobin Ling, Luyao Chen, Yejin Kim, Xiaoqian Jiang, Pulakesh Upadhyaya

Using Artificial Intelligence to Learn Optimal Regimen Plan for Alzheimer’s Disease

medRxiv(2023)10.1101/2023.01.26.23285064

N/A

0DataRank · unranked

1 citations

Trisha Das, Yejin Kim, Yongbin Chen, Qiying Dai, Xiaoyang Li +3 more

BHLHE40 drives protective polyfunctional CD4 T cell differentiation in the female reproductive tract against Chlamydia

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.11.02.565369

N/A

0DataRank · unranked

0 citations

Qiang Li, Charles M. Quick, Yejin Kim, Rachel S. Palmer, Lu Huang +2 more

CancerGPT for few shot drug pair synergy prediction using large pretrained language models

npj Digital Medicine(2024)10.1038/s41746-024-01024-9

N/A

0DataRank · unranked

110 citations

Sandesh Shetty, Advaith Kamath, Ajay Jaiswal, Xiaoqian Jiang, Ying Ding +2 more

BHLHE40 drives protective polyfunctional CD4 T cell differentiation in the female reproductive tract against Chlamydia

PLoS Pathogens(2024)10.1371/journal.ppat.1011983

N/A

0DataRank · unranked

4 citations

Qiang Li, Charles M. Quick, Yejin Kim, Rachel S. Palmer, Lu Huang +2 more

Deep learning to predict rapid progression of Alzheimer’s disease from pooled clinical trials: A retrospective study

PLOS Digital Health(2024)10.1371/journal.pdig.0000479

N/A

0DataRank · unranked

6 citations

Madison Shyer, Kristofer Harris, Dulin Wang, Yu‐Chun Hsu, Christine Farrell +10 more

Age-associated proteins explain the role of medial temporal lobe networks in Alzheimer’s disease

GeroScience(2024)10.1007/s11357-024-01291-0

N/A

0DataRank · unranked

1 citations

Yejin Kim, Kai Zhang, Xiaoqian Jiang, Zihuai He, Victor W. Henderson +2 more

Anticancer drug synergy prediction in understudied tissues using transfer learning

Journal of the American Medical Informatics Association(2020)10.1093/jamia/ocaa212

N/A

0DataRank · unranked

96 citations

Shuyu Zheng, Jing Tang, Wenjin Zheng, Zhao Li, Xiaoqian Jiang +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

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

Relational graph convolutional networks for predicting blood–brain barrier penetration of drug molecules

Bioinformatics(2022)10.1093/bioinformatics/btac211

N/A

0DataRank · unranked

29 citations

Xiaoqian Jiang, Yejin Kim, Yan Ding

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

Scalable Causal Structure Learning: Scoping Review of Traditional and Deep Learning Algorithms and New Opportunities in Biomedicine

JMIR Medical Informatics(2022)10.2196/38266

N/A

0DataRank · unranked

18 citations

Kai Zhang, Can Li, Xiaoqian Jiang, Yejin Kim, Pulakesh Upadhyaya

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

Drug-Target Network Study Reveals the Core Target-Protein Interactions of Various COVID-19 Treatments

Genes(2022)10.3390/genes13071210

N/A

0DataRank · unranked

0 citations

Hui Yu, Qiheng Yan, Bingrui Li, Andi Liu, Wendao Liu +5 more

Using artificial intelligence to learn optimal regimen plan for Alzheimer’s disease

Journal of the American Medical Informatics Association(2023)10.1093/jamia/ocad135

N/A

0DataRank · unranked

12 citations

Sivaraman Rajaganapathy, Trisha Das, Yejin Kim, Yongbin Chen, the Alzheimer’s Disease Neuroimaging Initiative +6 more