Skip to content

Home Search Authors Pakistan News Saved

SciRah

SciRah does not host or store research papers. Results come live from free, official scholarly APIs, and every paper links back to its original source.

Data sources

OpenAlex
Semantic Scholar
Crossref
CORE
arXiv
PubMed

Privacy policy Terms of service

Y. Uesawa · SciRah

Researcher profile · Semantic Scholar

Y. Uesawa

Share profile

Y. Uesawa — researcher profile on SciRah

h-index: 26
Works: 183
Citations: 2,350

Most-cited papers

Predicting blood-to-plasma concentration ratios of drugs from chemical structures and volumes of distribution in humans
H. Mamada, Kazuhiko Iwamoto, Y. Nomura, Y. Uesawa
2021Molecular diversity43 citations Open access
Semantic Scholar
Comprehensive study on potent and selective carbonic anhydrase inhibitors: Synthesis, bioactivities and molecular modelling studies of 4-(3-(2-arylidenehydrazine-1-carbonyl)-5-(thiophen-2-yl)-1H-pyrazole-1-yl) benzenesulfonamides.
C. Yamali, H. Sakagami, Y. Uesawa, K. Kurosaki +8 more
2021European journal of medicinal chemistry43 citations Open access
Semantic Scholar
Optimization of a Deep-Learning Method Based on the Classification of Images Generated by Parameterized Deep Snap a Novel Molecular-Image-Input Technique for Quantitative Structure–Activity Relationship (QSAR) Analysis
Y. Matsuzaka, Y. Uesawa
2019Frontiers in Bioengineering and Biotechnology43 citations Open access
Semantic Scholar
Prediction Model with High-Performance Constitutive Androstane Receptor (CAR) Using DeepSnap-Deep Learning Approach from the Tox21 10K Compound Library
Y. Matsuzaka, Y. Uesawa
2019International Journal of Molecular Sciences39 citations Open access
Semantic Scholar
Quantitative structure-activity relationship analysis using deep learning based on a novel molecular image input technique.
Y. Uesawa
2018Bioorganic & Medicinal Chemistry Letters39 citations Open access
Semantic Scholar
A Toxicity Prediction Tool for Potential Agonist/Antagonist Activities in Molecular Initiating Events Based on Chemical Structures
K. Kurosaki, Raymond P. Wu, Y. Uesawa
2020International Journal of Molecular Sciences38 citations Open access
Semantic Scholar
Analyses of Respiratory Depression Associated with Opioids in Cancer Patients Based on the Japanese Adverse Drug Event Report Database.
H. Sugawara, M. Uchida, Shinya Suzuki, Yukio Suga +3 more
2019Biological and Pharmaceutical Bulletin37 citations Open access
Semantic Scholar
Evaluation of antibiotic-induced taste and smell disorders using the FDA adverse event reporting system database
Yusuke Kan, Junko Nagai, Y. Uesawa
2021Scientific Reports33 citations Open access
Semantic Scholar
Prediction Model of Aryl Hydrocarbon Receptor Activation by a Novel QSAR Approach, DeepSnap–Deep Learning
Y. Matsuzaka, T. Hosaka, Anna Ogaito, K. Yoshinari +1 more
2020Molecules31 citations Open access
Semantic Scholar
Molecular Image-Based Prediction Models of Nuclear Receptor Agonists and Antagonists Using the DeepSnap-Deep Learning Approach with the Tox21 10K Library
Y. Matsuzaka, Y. Uesawa
2020Molecules30 citations Open access
Semantic Scholar
The Risk Factors Associated with Immune Checkpoint Inhibitor-Related Pneumonitis
Mizuho Asada, Takahisa Mikami, T. Niimura, Y. Zamami +3 more
2021Oncology29 citations
Semantic Scholar
2-Styrylchromone derivatives as potent and selective monoamine oxidase B inhibitors.
Koichi Takao, Saki Endo, Junko Nagai, Hitoshi Kamauchi +3 more
2019Bioorganic chemistry (Print)29 citations
Semantic Scholar
Comprehensive Study of the Risk Factors for Medication-Related Osteonecrosis of the Jaw Based on the Japanese Adverse Drug Event Report Database
Shinya Toriumi, Akinobu Kobayashi, Y. Uesawa
2020Pharmaceuticals28 citations Open access
Semantic Scholar
Comprehensive Analysis of Chemotherapeutic Agents That Induce Infectious Neutropenia
Mashiro Okunaka, D. Kano, R. Matsui, T. Kawasaki +1 more
2021Pharmaceuticals27 citations Open access
Semantic Scholar
DeepSnap-Deep Learning Approach Predicts Progesterone Receptor Antagonist Activity With High Performance
Y. Matsuzaka, Y. Uesawa
2020Frontiers in Bioengineering and Biotechnology25 citations Open access
Semantic Scholar
Investigation of carbonic anhydrase inhibitory effects and cytotoxicities of pyrazole-based hybrids carrying hydrazone and zinc-binding benzenesulfonamide pharmacophores.
C. Yamali, H. Sakagami, Keitaro Satoh, K. Bandow +5 more
2022Bioorganic chemistry (Print)23 citations
Semantic Scholar
Cytotoxicity, apoptosis, and QSAR studies of phenothiazine derived methoxylated chalcones as anticancer drug candidates
H. Gul, C. Yamali, Gulsen Gunesacar, H. Sakagami +3 more
2018Medicinal Chemistry Research23 citations
Semantic Scholar
3-(E)-Styryl-2H-chromene derivatives as potent and selective monoamine oxidase B inhibitors.
Koichi Takao, Hideaki Yahagi, Y. Uesawa, Y. Sugita
2018Bioorganic chemistry (Print)22 citations
Semantic Scholar
Prediction Model of Clearance by a Novel Quantitative Structure–Activity Relationship Approach, Combination DeepSnap-Deep Learning and Conventional Machine Learning
H. Mamada, Y. Nomura, Y. Uesawa
2021ACS Omega21 citations Open access
Semantic Scholar
A nationwide survey of hospital pharmacist interventions to improve polypharmacy for patients with cancer in palliative care in Japan
M. Uchida, Shinya Suzuki, H. Sugawara, Yukio Suga +4 more
2019Journal of Pharmaceutical Health Care and Sciences21 citations Open access
Semantic Scholar
Novel QSAR Approach for a Regression Model of Clearance That Combines DeepSnap-Deep Learning and Conventional Machine Learning
H. Mamada, Y. Nomura, Y. Uesawa
2022ACS Omega20 citations Open access
Semantic Scholar
Evaluation of Cardiac Adverse Events Associated with Carfilzomib Using a Japanese Real-World Database
Shuhei Nakao, M. Uchida, Aya Satoki, Kenya Okamoto +2 more
2021Oncology19 citations
Semantic Scholar
Development of Newly Synthesized Chromone Derivatives with High Tumor Specificity against Human Oral Squamous Cell Carcinoma
Y. Sugita, Koichi Takao, Y. Uesawa, Junko Nagai +3 more
2020Medicines19 citations Open access
Semantic Scholar
Analysis of drug‐induced liver‐related adverse event trend reporting between 1997 and 2019
H. Kamimura, Toru Setsu, Naruhiro Kimura, Makoto Miyazawa +5 more
2023Hepatology Research18 citations
Semantic Scholar
Inhibition of Neurotoxicity/Anticancer Activity of Bortezomib by Caffeic Acid and Chlorogenic Acid
Reona Matsuda, H. Sakagami, S. Amano, Y. Iijima +5 more
2022Anticancer Research17 citations
Semantic Scholar
A Deep Learning-Based Quantitative Structure–Activity Relationship System Construct Prediction Model of Agonist and Antagonist with High Performance
Y. Matsuzaka, Y. Uesawa
2022International Journal of Molecular Sciences16 citations Open access
Semantic Scholar
Analysis of Factors Associated with Hiccups Using the FAERS Database
Ryuichiro Hosoya, R. Ishii-Nozawa, K. Kurosaki, Y. Uesawa
2021Pharmaceuticals16 citations Open access
Semantic Scholar
Evaluation of the Expression Profile of Irinotecan-Induced Diarrhea in Patients with Colorectal Cancer
Mashiro Okunaka, D. Kano, R. Matsui, T. Kawasaki +1 more
2021Pharmaceuticals16 citations Open access
Semantic Scholar
Pharmacovigilance Evaluation of Bendamustine-related Skin Disorders using the Japanese Adverse Drug Event Report Database.
M. Uchida, T. Kawashiri, N. Maegawa, Aoi Takano +2 more
2021Journal of Pharmacy & Pharmaceutical Sciences16 citations Open access
Semantic Scholar
A nationwide survey of community pharmacist contributions to polypharmacy in opioid-using and non-using cancer patients in Japan.
Shinya Suzuki, M. Uchida, Yukio Suga, H. Sugawara +4 more
2019Biological and Pharmaceutical Bulletin16 citations Open access
Semantic Scholar
Quantitative Structure–Cytotoxicity Relationship of 2-Styrylchromones
Y. Uesawa, Junko Nagai, Haixia Shi, H. Sakagami +6 more
2019Anticancer Research15 citations Open access
Semantic Scholar
Ensemble Learning, Deep Learning-Based and Molecular Descriptor-Based Quantitative Structure–Activity Relationships
Y. Matsuzaka, Y. Uesawa
2023Molecules14 citations Open access
Semantic Scholar
Comprehensive Analysis of Adverse Events Induced by PARP Inhibitors Using JADER and Time to Onset
Kenta Yamaoka, Masaki Fujiwara, M. Uchida, Y. Uesawa +2 more
2022Life14 citations Open access
Semantic Scholar
Synthesis and biological evaluation of 3-styrylchromone derivatives as selective monoamine oxidase B inhibitors.
Koichi Takao, Yuri Takemura, Junko Nagai, Hitoshi Kamauchi +4 more
2021Bioorganic & Medicinal Chemistry14 citations Open access
Semantic Scholar
A Molecular Image-Based Novel Quantitative Structure-Activity Relationship Approach, Deepsnap-Deep Learning and Machine Learning.
Y. Matsuzaka, Y. Uesawa
2020Current Issues in Molecular Biology14 citations Open access
Semantic Scholar
Analysis of Corticosteroid-Induced Glaucoma Using the Japanese Adverse Drug Event Reporting Database
Ayano Kawabe, Y. Uesawa
2023Pharmaceuticals13 citations Open access
Semantic Scholar
Evaluation of QSAR models for predicting mutagenicity: outcome of the Second Ames/QSAR international challenge project
A. Furuhama, A. Kitazawa, J. Yao, C. D. Dos Santos +50 more
2023SAR and QSAR in environmental research (Print)13 citations Open access
Semantic Scholar
QSAR Prediction Model to Search for Compounds with Selective Cytotoxicity Against Oral Cell Cancer
Junko Nagai, M. Imamura, H. Sakagami, Y. Uesawa
2019Medicines13 citations Open access
Semantic Scholar
Further Quantitative Structure–Cytotoxicity Relationship Analysis of 3-Styrylchromones
Koichi Takao, K. Hoshi, H. Sakagami, Haixia Shi +6 more
2019Anticancer Research13 citations Open access
Semantic Scholar
Identifying Crude Drugs in Kampo Medicines Associated with Drug-Induced Liver Injury Using the Japanese Adverse Drug Event Report Database: A Comprehensive Survey
Kyosuke Kimura, Mami Kikegawa, Yusuke Kan, Y. Uesawa
2023Pharmaceuticals12 citations Open access
Semantic Scholar
Molecular Initiating Events Associated with Drug-Induced Liver Malignant Tumors: An Integrated Study of the FDA Adverse Event Reporting System and Toxicity Predictions
K. Kurosaki, Y. Uesawa
2021Biomolecules12 citations Open access
Semantic Scholar
Consensus Modeling Strategies for Predicting Transthyretin Binding Affinity from Tox24 Challenge Data
Thalita Cirino, Luis Pinto, Mateusz Iwan, Alexis Dougha +21 more
2025Chemical Research in Toxicology11 citations Open access
Semantic Scholar
Efficiency of pharmaceutical toxicity prediction in computational toxicology
Y. Uesawa
2024Toxicological Research11 citations Open access
Semantic Scholar
The Influence of the Rapid Increase in the Number of Adverse Event Reports for COVID-19 Vaccine on the Disproportionality Analysis Using JADER
Kenta Yamaoka, Masaki Fujiwara, M. Uchida, Y. Uesawa +1 more
2023In Vivo11 citations Open access
Semantic Scholar
Current Status of Adverse Events Related with Opioid Analgesics in Japan: Assessment Based on Japanese Adverse Drug Event Report Database.
Yukio Suga, M. Uchida, Shinya Suzuki, H. Sugawara +5 more
2019Biological and Pharmaceutical Bulletin11 citations Open access
Semantic Scholar
Quantitative Structure-Cytotoxicity Relationship of 2-Azolylchromones.
Hiroshi Sakagami, N. Okudaira, Y. Uesawa, Koichi Takao +2 more
2018Anticancer Research11 citations Open access
Semantic Scholar
Computational Models That Use a Quantitative Structure–Activity Relationship Approach Based on Deep Learning
Y. Matsuzaka, Y. Uesawa
2023Processes10 citations Open access
Semantic Scholar
Comprehensive Study of Drug-Induced Pruritus Based on Adverse Drug Reaction Report Database
Yuriko Nakao, Mizuho Asada, Y. Uesawa
2023Pharmaceuticals10 citations Open access
Semantic Scholar
Exploring the Mechanisms Underlying Drug-Induced Fractures Using the Japanese Adverse Drug Event Reporting Database
Shinya Toriumi, Akinobu Kobayashi, Hitoshi Sueki, Munehiro Yamamoto +1 more
2021Pharmaceuticals10 citations Open access
Semantic Scholar
Prediction Models for Agonists and Antagonists of Molecular Initiation Events for Toxicity Pathways Using an Improved Deep-Learning-Based Quantitative Structure–Activity Relationship System
Y. Matsuzaka, S. Totoki, Kentaro Handa, Tetsuyoshi Shiota +2 more
2021International Journal of Molecular Sciences9 citations Open access
Semantic Scholar

Frequent co-authors

Invite them to SciRah by sharing their profile.

Y. Matsuzaka×11
Invite
Y. Matsuzaka — researcher profile on SciRah
H. Sakagami×8
Invite
H. Sakagami — researcher profile on SciRah
M. Uchida×8
Invite
M. Uchida — researcher profile on SciRah
Junko Nagai×7
Invite
Junko Nagai — researcher profile on SciRah

×7

Invite

Koichi Takao — researcher profile on SciRah

Invite

Y. Sugita — researcher profile on SciRah

Invite

K. Kurosaki — researcher profile on SciRah

Invite

H. Sugawara — researcher profile on SciRah

Shinya Suzuki×4

Invite

Shinya Suzuki — researcher profile on SciRah

Invite

Yukio Suga — researcher profile on SciRah

Invite

T. Nakagawa — researcher profile on SciRah

Invite

H. Takase — researcher profile on SciRah