🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Jui‐Hua Hsieh

National Institutes of Health

ORCID: 0000-0003-1620-1571

Also affiliated with National Institute of Environmental Health Sciences

Environmental ScienceBiochemistry, Genetics and Molecular BiologyMedicine

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 17 papers. Top paper: “Harnessing In Silico, In Vitro, and In Vivo Data to Understand the Toxicity Landscape of Polycyclic Aromatic Compounds (PACs)”.

Harnessing In Silico, In Vitro, and In Vivo Data to Understand the Toxicity Landscape of Polycyclic Aromatic Compounds (PACs)

Chemical Research in Toxicology(2020)10.1021/acs.chemrestox.0c00213

N/A

0.425DataRank · unranked

16 citations

Alexander Sedykh, Esra Mutlu, Dori R. Germolec, Scott S. Auerbach, Cynthia V. Rider +1 more

Profiling of Environmental Mixtures Containing Metals for Their Toxicity Pathways and Mechanism of Action

Environmental Science & Technology(2025)10.1021/acs.est.4c07995

N/A

0.385DataRank · unranked

12 citations

Jinghua Zhao, Li Zhang, Ruili Huang, Srilatha Sakamuru, Charlotte TeKrony +6 more

Developmental neurotoxicity (DNT): A call for implementation of new approach methodologies for regulatory purposes: Summary of the 5th International Conference on DNT Testing

ALTEX(2025)10.14573/altex.2503191

N/A

0.208DataRank · unranked

3 citations

Michael Aschner, Randolph S. Ashton, Kelly E. Carstens, Andrea Cediel-Ulloa, Eike Cöllen +39 more

In silico approaches in organ toxicity hazard assessment: Current status and future needs in predicting liver toxicity

Computational Toxicology(2021)10.1016/j.comtox.2021.100187

N/A

0DataRank · unranked

43 citations

Vinícius M. Alves, Alexander Amberg, Lennart T. Anger, Scott S. Auerbach, Lisa Beilke +22 more

Discovery of a novel cyclin-dependent kinase 8 inhibitor with an oxindole core for anti-inflammatory treatment

Biomedicine & Pharmacotherapy(2021)10.1016/j.biopha.2021.112459

N/A

0DataRank · unranked

22 citations

Chia‐Ron Yang, Ching-Hsuan Chou, Jui‐Yi Hsu, Min‐Wu Chao, Tzu-Ying Sung +4 more

Identification and analysis of a selective DYRK1A inhibitor

Biomedicine & Pharmacotherapy(2021)10.1016/j.biopha.2021.112580

N/A

0DataRank · unranked

15 citations

Min‐Wu Chao, Wei‐Chun HuangFu, Huang‐Ju Tu, Zhaoxiang Peng, C SU +7 more

Exploring the Influence of Experimental Design on Toxicity Outcomes in Zebrafish Embryo Tests

Toxicological Sciences(2022)10.1093/toxsci/kfac053

N/A

0DataRank · unranked

10 citations

Mamta Behl, Fred Parham, Kristen Ryan, Jui‐Hua Hsieh

Differences in neurotoxic outcomes of organophosphorus pesticides revealed via multi-dimensional screening in adult and regenerating planarians

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.06.20.496617

N/A

0DataRank · unranked

5 citations

Siqi Zhang, Veronica Bochenek, Jui‐Hua Hsieh, Christina Rabeler, Zane Meyer +2 more

Establishment of extensive artificial intelligence models for kinase inhibitor prediction: Identification of novel PDGFRB inhibitors

Computers in Biology and Medicine(2023)10.1016/j.compbiomed.2023.106722

N/A

0DataRank · unranked

14 citations

Tony Eight Lin, Jui‐Hua Hsieh, Tzu-Ying Sung, Junhong Chen, Kai‐Cheng Hsu +1 more

Discovery of dual-specificity tyrosine-phosphorylation-regulated kinase 1A (DYRK1A) inhibitors using an artificial intelligence model and their effects on tau and tubulin dynamics

Biomedicine & Pharmacotherapy(2024)10.1016/j.biopha.2024.117688

N/A

0DataRank · unranked

7 citations

Huang‐Ju Tu, Tony Eight Lin, Zhaoxiang Peng, Yiwen Wu, Shih‐Chung Yen +7 more

Identification of a Potent CDK8 Inhibitor Using Structure-Based Virtual Screening

Journal of Chemical Information and Modeling(2024)10.1021/acs.jcim.4c02011

N/A

0DataRank · unranked

6 citations

Ching-Hsuan Chou, Yiwen Wu, Tzu-Ying Sung, Jui-Yi Hsu, Shih‐Chung Yen +7 more

A comparative study of biostatistical pipelines for benchmark concentration modeling of in vitro screening assays

Computational Toxicology(2025)10.1016/j.comtox.2025.100360

N/A

0DataRank · unranked

8 citations

Arif Dönmez, Jui‐Hua Hsieh, Kristina Bartmann, Katie Paul Friedman, Katharina Koch +3 more

Artificial intelligence (AI)-driven morphological assessment of zebrafish larvae for developmental toxicity chemical screening

Aquatic Toxicology(2025)10.1016/j.aquatox.2025.107415

N/A

0DataRank · unranked

5 citations

Brian E. Howard, Adrian J. Green, Rebecca Elmore, Ruchir Shah, B. Alex Merrick +4 more

Power calculations for larval zebrafish in light-dark transition test for developmental neurotoxicity

NeuroToxicology(2025)10.1016/j.neuro.2025.103371

N/A

0DataRank · unranked

5 citations

Katherine Allen-Moyer, Lee Ellis, Ellen V.S. Hessel, Oihane Jaka, Arantza Muriana +11 more

Identification of pyrazole scaffold inhibitors targeting cyclin-dependent kinase 8 for potential use in pulmonary fibrosis

Biochemical Pharmacology(2025)10.1016/j.bcp.2025.116959

N/A

0DataRank · unranked

0 citations

Kai‐Cheng Hsu, Ching-Hsuan Chou, En-Yun Tsai, Yiwen Wu, Tzu-Ying Sung +8 more

Do crystal structures obviate the need for theoretical models of GPCRs for structure-based virtual screening?

UNC Libraries(2020)10.17615/337x-6k56

N/A

0DataRank · unranked

0 citations

Hao Tang, Xiang Simon Wang, Alexander Tropsha, Jui‐Hua Hsieh

Cheminformatics Meets Molecular Mechanics: A Combined Application of Knowledge-Based Pose Scoring and Physical Force Field-Based Hit Scoring Functions Improves the Accuracy of Structure-Based Virtual Screening

Figshare(2020)10.17615/y79v-wy82

N/A

0DataRank · unranked

0 citations

Xiang S. Wang, Shubin Liu, Alexander Tropsha, Shuangye Yin, Nikolay V. Dokholyan +1 more