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Cited by in F6Publishing
For: Talikka M, Belcastro V, Gubian S, Martin F, Peitsch MC, Hoeng J. Systems toxicology meta-analysis—From aerosol exposure to nanotoxicology. Current Opinion in Toxicology 2019;16:39-48. [DOI: 10.1016/j.cotox.2019.03.010] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 1.3] [Reference Citation Analysis]
Number Citing Articles
1 Balfourier A, Marty A, Gazeau F. Importance of Metal Biotransformation in Cell Response to Metallic Nanoparticles: A Transcriptomic Meta-analysis Study. ACS Nanosci Au 2022. [DOI: 10.1021/acsnanoscienceau.2c00035] [Reference Citation Analysis]
2 Yepiskoposyan H, Peitsch MC, Talikka M, Li J. Causal Biological Network Model for Inflammasome Signaling Applied for Interpreting Transcriptomic Changes in Various Inflammatory States. International Journal of Inflammation 2022;2022:1-13. [DOI: 10.1155/2022/4071472] [Reference Citation Analysis]
3 Talikka M, Belcastro V, Boué S, Marescotti D, Hoeng J, Peitsch MC. Applying Systems Toxicology Methods to Drug Safety. Systems Medicine 2021. [DOI: 10.1016/b978-0-12-801238-3.11522-3] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
4 Singh AV, Rosenkranz D, Ansari MHD, Singh R, Kanase A, Singh SP, Johnston B, Tentschert J, Laux P, Luch A. Artificial Intelligence and Machine Learning Empower Advanced Biomedical Material Design to Toxicity Prediction. Advanced Intelligent Systems 2020;2:2000084. [DOI: 10.1002/aisy.202000084] [Cited by in Crossref: 33] [Cited by in F6Publishing: 33] [Article Influence: 11.0] [Reference Citation Analysis]