A. Furuhama - Concepedia

Author

A. Furuhama

National Institute for Environmental Studies ORCID

Also Known As

A. Furuhama, Ayako Furuhama, FURUHAMA, Ayako, Furuhama, A., Furuhama, Ayako

Publications

431

Citations

H-Index

Concepts

All Affiliations

National Institute for Environmental Studies National Institute of Health Sciences University of Gdańsk Nagoya University United States Food and Drug Administration

About

A. Furuhama is an author at National Institute for Environmental Studies specializing in engineering, chemistry, and quantum chemistry.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	11	11	257
2	Medicine	5	5	114
3	Natural Sciences	5	5	114
4	Health Sciences	2	2	56
5	Public Health	1	1	37

A. Furuhama

Publications

376

Citations

H-Index

Page 1

	Year	Citations
Reactions associated with ionization in water: A direct <i>ab initio</i> dynamics study of ionization in (H2O)17 A. Furuhama, Michel Dupuis, Kimihiko Hirao The Journal of Chemical Physics EngineeringProton-coupled Electron TransferComputational ChemistryChemistryWater Molecules	2006	47
Development of an ecotoxicity QSAR model for the KAshinhou Tool for Ecotoxicity (KATE) system, March 2009 version A. Furuhama, Takashi Toida, Nozomu Nishikawa, SAR and QSAR in environmental research	2010	40
Interspecies quantitative structure–activity–activity relationships (QSAARs) for prediction of acute aquatic toxicity of aromatic amines and phenols A. Furuhama, K. Hasunuma, Yasunobu Aoki SAR and QSAR in environmental research EcotoxicityAcute Aquatic ToxicityEngineeringMolecular WeightsEnvironmental Chemistry	2015	38
Artificial intelligence and real-world data for drug and food safety – A regulatory science perspective Shraddha Thakkar, William Slikker, Frank Yiannas, Regulatory Toxicology and Pharmacology Artificial IntelligenceNew TechnologiesEngineeringReal-world DataRegulatory Safety Science	2023	37
Generating accurate in silico predictions of acute aquatic toxicity for a range of organic chemicals: Towards similarity-based machine learning methods Agnieszka Gajewicz, A. Furuhama, Hiroshi Yamamoto, Chemosphere Acute Aquatic ToxicityEngineeringMachine LearningSimilarity MeasureData Science	2021	31
Application of a kinetic energy partitioning scheme for ab initio molecular dynamics to reactions associated with ionization in water tetramers A. Furuhama, Michel Dupuis, Kimihiko Hirao Physical Chemistry Chemical Physics EngineeringShort-time DynamicsKinetic EnergyComputational ChemistryChemistry	2008	22
Aquatic toxicity (Pre)screening strategy for structurally diverse chemicals: global or local classification tree models? Agnieszka Gajewicz, Maciej Gromelski, Ewelina Wyrzykowska, Ecotoxicology and Environmental Safety	2020	21
Evaluation of QSAR models for predicting mutagenicity: outcome of the Second Ames/QSAR international challenge project A. Furuhama, Atsushi Kitazawa, Jiahao Yao, SAR and QSAR in environmental research Drug ResistanceToxicologyBiostatisticsRadiation OncologyCancer Research	2023	19
Integral equation theory of distributed partial wave basis: application to molecular liquids A. Furuhama, Seiichiro Ten‐no Chemical Physics Letters Integral Equation TheoryEngineeringPhysicsNatural SciencesMolecular Liquids	2004	18
The use of distributed partial wave basis for accurate atom–molecule statistical distributions A. Furuhama, Seiichiro Ten‐no The Journal of Chemical Physics EngineeringPartial Wave FormulationPhysicsExpansions IncreasesNatural Sciences	2002	16

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