日期 影响因子
日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:
–

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

生物介质中纳米颗粒体系蛋白质冠状层组成的荟萃分析和机器学习预测

期刊:ACS Nano
影响因子:16
doi:10.1021/acsnano.5c08608
Canchola, Alexa; Li, Keyuan; Chen, Kunpeng; Borboa-Pimentel, Alejandro; Chou, Catherine; Dela Rama, Roberto; Chen, Chi-Yun; Chen, Xinyue; Strobel, Michael; Riviere, Jim E; Monteiro-Riviere, Nancy A; Wang, Mingxun; Zhang, Fan; Lin, Zhoumeng; Chou, Wei-Chun
发表日期：2025
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Predicting tissue distribution and tumor delivery of nanoparticles in mice using machine learning models

利用机器学习模型预测纳米颗粒在小鼠体内的组织分布和肿瘤递送

期刊:Journal of Controlled Release
影响因子:11.5
doi:10.1016/j.jconrel.2024.08.015
Mi, Kun; Chou, Wei-Chun; Chen, Qiran; Yuan, Long; Kamineni, Venkata N; Kuchimanchi, Yashas; He, Chunla; Monteiro-Riviere, Nancy A; Riviere, Jim E; Lin, Zhoumeng
肿瘤
肿瘤免疫
发表日期：2024
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Meta-Analysis of Nanoparticle Distribution in Tumors and Major Organs in Tumor-Bearing Mice

肿瘤小鼠肿瘤及主要器官中纳米颗粒分布的荟萃分析

期刊:ACS Nano
影响因子:16
doi:10.1021/acsnano.3c04037
Chen, Qiran; Yuan, Long; Chou, Wei-Chun; Cheng, Yi-Hsien; He, Chunla; Monteiro-Riviere, Nancy A; Riviere, Jim E; Lin, Zhoumeng
肿瘤
肿瘤免疫
发表日期：2023
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An artificial intelligence-assisted physiologically-based pharmacokinetic model to predict nanoparticle delivery to tumors in mice

利用人工智能辅助的生理药代动力学模型预测纳米颗粒在小鼠体内向肿瘤的递送

期刊:Journal of Controlled Release
影响因子:11.5
doi:10.1016/j.jconrel.2023.07.040
Chou, Wei-Chun; Chen, Qiran; Yuan, Long; Cheng, Yi-Hsien; He, Chunla; Monteiro-Riviere, Nancy A; Riviere, Jim E; Lin, Zhoumeng
肿瘤
肿瘤免疫
发表日期：2023
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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

纳米材料多途径生理药代动力学（PBPK）模型的建立：以大鼠为例，比较传统方法与新型途径特异性方法对金纳米颗粒的影响

期刊:Particle and Fibre Toxicology
影响因子:8.2
doi:10.1186/s12989-022-00489-4
Chou, Wei-Chun; Cheng, Yi-Hsien; Riviere, Jim E; Monteiro-Riviere, Nancy A; Kreyling, Wolfgang G; Lin, Zhoumeng
Rat
发表日期：2022
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Predicting Nanoparticle Delivery to Tumors Using Machine Learning and Artificial Intelligence Approaches

利用机器学习和人工智能方法预测纳米颗粒向肿瘤的递送

期刊:International Journal of Nanomedicine
影响因子:6.5
doi:10.2147/IJN.S344208
Lin, Zhoumeng; Chou, Wei-Chun; Cheng, Yi-Hsien; He, Chunla; Monteiro-Riviere, Nancy A; Riviere, Jim E
肿瘤
肿瘤免疫
发表日期：2022
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Perspectives of nanotoxicology: Introduction

纳米毒理学展望：引言

期刊:
影响因子:
doi:10.1002/wnan.1843
Monteiro-Riviere, Nancy A
发表日期：2022
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Meta-Analysis of Nanoparticle Delivery to Tumors Using a Physiologically Based Pharmacokinetic Modeling and Simulation Approach

基于生理药代动力学建模和模拟方法的纳米颗粒肿瘤递送荟萃分析

期刊:ACS Nano
影响因子:16
doi:10.1021/acsnano.9b08142
Cheng, Yi-Hsien; He, Chunla; Riviere, Jim E; Monteiro-Riviere, Nancy A; Lin, Zhoumeng
肿瘤
肿瘤免疫
发表日期：2020
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Probabilistic risk assessment of gold nanoparticles after intravenous administration by integrating in vitro and in vivo toxicity with physiologically based pharmacokinetic modeling

通过整合体外和体内毒性以及基于生理的药代动力学模型，对静脉注射后金纳米颗粒进行概率风险评估。

期刊:Nanotoxicology
影响因子:3.4
doi:10.1080/17435390.2018.1459922
Cheng, Yi-Hsien; Riviere, Jim E; Monteiro-Riviere, Nancy A; Lin, Zhoumeng
毒理研究
发表日期：2018
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Oxidative stress response in canine in vitro liver, kidney and intestinal models with seven potential dietary ingredients

七种潜在膳食成分对犬体外肝脏、肾脏和肠道模型的氧化应激反应

期刊:Toxicology Letters
影响因子:2.9
doi:10.1016/j.toxlet.2015.11.012
Kyoungju Choi, Maria T Ortega, Brett Jeffery, Jim E Riviere, Nancy A Monteiro-Riviere
表观遗传
Canine
发表日期：2016
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