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

Ultrasonication-mediated multi-micronutrient fortification of polished rice to address micronutrient deficiencies

利用超声波辅助强化精米中的多种微量营养素以解决微量营养素缺乏问题

期刊:Ultrasonics Sonochemistry
影响因子:9.7
doi:10.1016/j.ultsonch.2026.107814
Ong, Glenn Vincent P; Laudencia, Iegem Lean; Tiozon, Rhowell Jr; Jose, Jhaymes Khylle; Pratap, Vipin; Sreenivasulu, Nese
发表日期：2026
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Unlocking the potential of wild rice to bring missing nutrition to elite grains

释放野生稻的潜力，为优质谷物带来缺失的营养

期刊:Plant Communications
影响因子:11.6
doi:10.1016/j.xplc.2025.101344
Tiozon, Rhowell Jr N; Zhang, Changquan; Kim, Sung-Ryul; Liu, Qiaoquan; Fernie, Alisdair R; Sreenivasulu, Nese
发表日期：2025
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Effect of exogenous treatment with zaxinone and its mimics on rice root microbiota across different growth stages

外源施用扎西酮及其类似物对不同生长阶段水稻根系微生物群落的影响

期刊:Scientific Reports
影响因子:3.9
doi:10.1038/s41598-024-82833-6
Mazzarella, Teresa; Chialva, Matteo; de Souza, Leonardo Perez; Wang, Jian You; Votta, Cristina; Tiozon, Rhowell Jr; Vaccino, Patrizia; Salvioli di Fossalunga, Alessandra; Sreenivasulu, Nese; Asami, Tadao; Fernie, Alisdair R; Al-Babili, Salim; Lanfranco, Luisa; Fiorilli, Valentina
微生物学
发表日期：2024
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Metabolomics and machine learning technique revealed that germination enhances the multi-nutritional properties of pigmented rice

代谢组学和机器学习技术表明，发芽能够增强有色稻米的多种营养特性。

期刊:Communications Biology
影响因子:5.1
doi:10.1038/s42003-023-05379-9
Tiozon, Rhowell Jr N; Sreenivasulu, Nese; Alseekh, Saleh; Sartagoda, Kristel June D; Usadel, Björn; Fernie, Alisdair R
代谢
发表日期：2023
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Metabolomics based inferences to unravel phenolic compound diversity in cereals and its implications for human gut health

基于代谢组学的推断揭示谷物中酚类化合物的多样性及其对人类肠道健康的影响

期刊:Trends in Food Science & Technology
影响因子:15.4
doi:10.1016/j.tifs.2022.06.011
Tiozon, Rhowell Jr N; Sartagoda, Kristel June D; Serrano, Luster May N; Fernie, Alisdair R; Sreenivasulu, Nese
代谢
发表日期：2022
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Mathematical modeling to predict rice's phenolic and mineral content through multispectral imaging

利用多光谱成像技术进行数学建模以预测水稻酚类和矿物质含量

期刊:
影响因子:
doi:10.1016/j.focha.2022.100141
Buenafe, Reuben James; Tiozon, Rhowell Jr; Boyd, Lesley A; Sartagoda, Kristel June; Sreenivasulu, Nese
发表日期：2022
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