Author

Tomoka Hisaki

Observed name: T. Hisaki

Institution: Shiseido Group (Japan)

Observed institutions: Shiseido Group (Japan), Tokyo Women's Medical University, The University of Tokyo

ORCID: 0000-0002-8480-0667

Observed ORCID: 0000-0002-8480-0667

OpenAlex ID: A5010792266

Development of QSAR models using artificial neural network analysis for risk assessment of repeated-dose, reproductive, and developmental toxicities of cosmetic ingredients

2015 · Tomoka Hisaki, Maki Aiba <i>née</i> Kaneko, et al. · The Journal of Toxicological Sciences · 37

Discoidin domain receptor 2 (DDR2) regulates proliferation of endochondral cells in mice

2012 · Ikuma Kawai, Tomoka Hisaki, et al. · Biochemical and Biophysical Research Communications · 26

Integration of read-across and artificial neural network-based QSAR models for predicting systemic toxicity: A case study for valproic acid

2020 · Tomoka Hisaki, Maki Aiba née Kaneko, et al. · The Journal of Toxicological Sciences · 12

StemPanTox: A fast and wide-target drug assessment system for tailor-made safety evaluations using personalized iPS cells

2022 · Junko Yamane, Takumi Wada, et al. · iScience · 8

S-COPHY: A deep learning model for predicting the chemical class of compounds as cosmetics or pharmaceuticals based on single 3D molecular images

2024 · Tomoka Hisaki, Koki Yoshida, et al. · Computational Toxicology · 4

Regulation of embryonic size in early mouse development in vitro culture system

2013 · Tomoka Hisaki, Ikuma Kawai, et al. · Zygote · 4

P22-11: Case study of resveratrol as a cosmetic ingredient for systemic toxicity using the new approachmethodologies of next generation risk assessment

2023 · T. Nukaga, M. Hirota, et al. · Toxicology Letters · 2

Integration of read-across and artificial neural network-based QSAR model for systemic toxicity prediction of Mandelic acid

2026 · Hemantkumar S. Chaudhari, Ludwik Gorczyca, et al. · Computational Toxicology · 1

Next-generation risk assessment of resveratrol: An external exposure approach based on comprehensive read-across with independent internal exposure verification

2026 · Tomoka Hisaki, Takumi Nukaga, et al. · Regulatory Toxicology and Pharmacology

Development and application of machine learning models for predicting dermal absorption with consideration of vehicle effects

2026 · Tomomi Atobe, Kosuke Imai, et al. · NAM journal.

P22-24: Challenges in setting an internal threshold of toxicological concern (iTTC) for use in the developmental toxicity assessment for cosmetic ingredients

2023 · S. Sekine, T. Hisaki, et al. · Toxicology Letters

Works count: 11

Citation count: 94

H-index: 4

I10-index: 3