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

Zhoumeng Lin

University of Florida Health

ORCID: 0000-0002-8731-8366

Also affiliated with University of Florida

MedicineAgricultural and Biological SciencesMaterials ScienceEnvironmental Science

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 2%percentile

1.9Author DataRank

Indexed papers

1in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 1 indexed paper attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

Meta-Analysis of Nanoparticle Distribution in Tumors and Major Organs in Tumor-Bearing Mice

ACS Nano(2023)10.1021/acsnano.3c04037

Top 11%

1.9DataRank

Top 11%87 citations

Long Yuan, Wei‐Chun Chou, Yi‐Hsien Cheng, Chunla He, Nancy A. Monteiro‐Riviere +3 more

Papers

Driven by 15 papers — median percentile 89. Top paper: “Meta-Analysis of Nanoparticle Distribution in Tumors and Major Organs in Tumor-Bearing Mice”.

Meta-Analysis of Nanoparticle Distribution in Tumors and Major Organs in Tumor-Bearing Mice

ACS Nano(2023)10.1021/acsnano.3c04037

Top 11%

1.9DataRank

Top 11%87 citations

Long Yuan, Wei‐Chun Chou, Yi‐Hsien Cheng, Chunla He, Nancy A. Monteiro‐Riviere +3 more

Machine Learning and Artificial Intelligence in Toxicological Sciences

Toxicological Sciences(2022)10.1093/toxsci/kfac075

N/A

0DataRank · unranked

169 citations

Wei‐Chun Chou, Zhoumeng Lin

Machine learning and artificial intelligence in physiologically based pharmacokinetic modeling

Toxicological Sciences(2022)10.1093/toxsci/kfac101

N/A

0DataRank · unranked

164 citations

Zhoumeng Lin, Wei‐Chun Chou

Development of a multi-route physiologically based pharmacokinetic (PBPK) model for nanomaterials: a comparison between a traditional versus a new route-specific approach using gold nanoparticles in rats

Particle and Fibre Toxicology(2022)10.1186/s12989-022-00489-4

N/A

0DataRank · unranked

61 citations

Yi‐Hsien Cheng, Jim E. Riviere, Nancy A. Monteiro‐Riviere, Wolfgang G. Kreyling, Zhoumeng Lin +1 more

Development of a physiologically based pharmacokinetic model to predict irinotecan disposition during inflammation

Chemico-Biological Interactions(2022)10.1016/j.cbi.2022.109946

N/A

0DataRank · unranked

4 citations

Pavan Kumar Chityala, Li Li, Zhoumeng Lin, Romi Ghose, Gabriel Tao

An artificial intelligence-assisted physiologically-based pharmacokinetic model to predict nanoparticle delivery to tumors in mice

Journal of Controlled Release(2023)10.1016/j.jconrel.2023.07.040

N/A

0DataRank · unranked

171 citations

Qiran Chen, Long Yuan, Yi‐Hsien Cheng, Chunla He, Nancy A. Monteiro‐Riviere +3 more

Pharmacokinetics and tumor delivery of nanoparticles

Journal of Drug Delivery Science and Technology(2023)10.1016/j.jddst.2023.104404

N/A

0DataRank · unranked

65 citations

Qiran Chen, Jim E. Riviere, Zhoumeng Lin, Long Yuan

Impact of protein coronas on nanoparticle interactions with tissues and targeted delivery

Current Opinion in Biotechnology(2023)10.1016/j.copbio.2023.103046

N/A

0DataRank · unranked

59 citations

Zhoumeng Lin, Wei‐Chun Chou

Predicting tissue distribution and tumor delivery of nanoparticles in mice using machine learning models

Journal of Controlled Release(2024)10.1016/j.jconrel.2024.08.015

N/A

0DataRank · unranked

86 citations

Wei‐Chun Chou, Qiran Chen, Long Yuan, V. Kamineni, Yashas Kuchimanchi +5 more

Machine Learning and Artificial Intelligence in Nanomedicine

Wiley Interdisciplinary Reviews Nanomedicine and Nanobiotechnology(2025)10.1002/wnan.70027

N/A

0DataRank · unranked

89 citations

Alexa Canchola, Fan Zhang, Zhoumeng Lin, Wei‐Chun Chou

Meta-Analysis and Machine Learning Prediction of Protein Corona Composition across Nanoparticle Systems in Biological Media

ACS Nano(2025)10.1021/acsnano.5c08608

N/A

0DataRank · unranked

25 citations

Keyuan Li, Kunpeng Chen, Alejandro Borboa-Pimentel, C.J. Chou, R. Rama +10 more

A Machine Learning–Based Clustering Analysis to Explore Bisphenol A and Phthalate Exposure from Medical Devices in Infants with Congenital Heart Defects

Environmental Health Perspectives(2025)10.1289/ehp15034

N/A

0DataRank · unranked

7 citations

J. William Gaynor, Eric M. Graham, Brenna Klepczynski, Tia Walker, Eric S. Coker +3 more

Development of machine learning-based multi-task quantitative structure–activity relationship models for predicting toxicities in six human organ systems

Computational Toxicology(2025)10.1016/j.comtox.2025.100399

N/A

0DataRank · unranked

2 citations

Wei-Chun Chou, V. Kamineni, Chi-Yun Chen, Jui-Hua Hsieh, Chris D. Vulpe +2 more

Predicting Nanoparticle Delivery to Tumors Using Machine Learning and Artificial Intelligence Approaches

International Journal of Nanomedicine(2022)10.2147/ijn.s344208

N/A

0DataRank · unranked

173 citations

Wei‐Chun Chou, Yi-Hsien Cheng, Chunla He, Nancy A. Monteiro‐Riviere, Jim E Riviere +1 more

Application of Lactation Physiologically Based Pharmacokinetic Modeling to Predict Milk Exposure of Passively Diffused Drugs

The Journal of Clinical Pharmacology(2025)10.1002/jcph.70093

N/A

0DataRank · unranked

2 citations

Michelle A. Pressly, Daphne Guinn, Zhoumeng Lin, Stephan Schmidt, Kiara Fairman +3 more