Nicoleta Sp̂înu - Concepedia

Author

Nicoleta Sp̂înu

Liverpool John Moores University ORCID

Also Known As

N. Spînu, Nicoleta Spinu, Nicoleta Spînu, Nicoleta Sp̂înu, Spinu, N, Spînu, N., Spînu, Nicoleta

Publications

447

Citations

H-Index

Concepts

All Affiliations

Liverpool John Moores University Joint Research Centre Environmental Protection Agency University of Lausanne Helmholtz Centre for Environmental Research

About

Nicoleta Sp̂înu is an author at Liverpool John Moores University specializing in toxicology, medicine, and pharmacology.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Medicine	4	4	186
2	Biostatistics	2	2	51
3	Health Sciences	1	1	19
4	Public Health	1	1	32
5	Cell Biology	1	1	86

Nicoleta Sp̂înu

Publications

308

Citations

H-Index

Page 1

	Year	Citations
Development and analysis of an adverse outcome pathway network for human neurotoxicity Nicoleta Sp̂înu, Anna Bal‐Price, M Cronin, Archives of Toxicology Human NeurotoxicityCell DeathToxicological MechanismOxidative StressResultant Aop Network	2019	86
Derivation, characterisation and analysis of an adverse outcome pathway network for human hepatotoxicity Emma Arnesdotter, Nicoleta Sp̂înu, James W. Firman, Toxicology HepatologyMedicineLiver PhysiologyForensic ToxicologyImmunology	2021	49
Towards a qAOP framework for predictive toxicology - Linking data to decisions Alicia Paini, Ivana Campia, M Cronin, Computational Toxicology	2021	42
Prediction of the Neurotoxic Potential of Chemicals Based on Modelling of Molecular Initiating Events Upstream of the Adverse Outcome Pathways of (Developmental) Neurotoxicity Domenico Gadaleta, Nicoleta Sp̂înu, Alessandra Roncaglioni, International Journal of Molecular Sciences NeurotoxicologyToxicological MechanismToxicologyBiostatisticsNeurology	2022	32
Probabilistic modelling of developmental neurotoxicity based on a simplified adverse outcome pathway network Nicoleta Sp̂înu, M Cronin, Junpeng Lao, Computational Toxicology	2021	31
The predictivity of QSARs for toxicity: Recommendations for improving model performance M Cronin, Georgios Chrysochoou, Steven J. Enoch, Computational Toxicology	2024	22
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
A scheme to evaluate structural alerts to predict toxicity – Assessing confidence by characterising uncertainties M Cronin, Franklin J. Bauer, Mark Bonnell, Regulatory Toxicology and Pharmacology	2022	17
A strategy to define applicability domains for read-across Cynthia B. Pestana, Steven J. Enoch, James W. Firman, Computational Toxicology	2022	10

Page 1