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Cited by in F6Publishing

For:	Issa NT, Wathieu H, Glasgow E, Peran I, Parasido E, Li T, Simbulan-rosenthal CM, Rosenthal D, Medvedev AV, Makarov SS, Albanese C, Byers SW, Dakshanamurthy S. A novel chemo-phenotypic method identifies mixtures of salpn, vitamin D3, and pesticides involved in the development of colorectal and pancreatic cancer. Ecotoxicology and Environmental Safety 2022;233:113330. [DOI: 10.1016/j.ecoenv.2022.113330] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]

For:

Issa NT, Wathieu H, Glasgow E, Peran I, Parasido E, Li T, Simbulan-rosenthal CM, Rosenthal D, Medvedev AV, Makarov SS, Albanese C, Byers SW, Dakshanamurthy S. A novel chemo-phenotypic method identifies mixtures of salpn, vitamin D3, and pesticides involved in the development of colorectal and pancreatic cancer. Ecotoxicology and Environmental Safety 2022;233:113330. [DOI: 10.1016/j.ecoenv.2022.113330] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]

Number	Citing Articles
1	Limbu S, Zakka C, Dakshanamurthy S. Predicting Dose-Range Chemical Toxicity using Novel Hybrid Deep Machine-Learning Method. Toxics 2022;10:706. [DOI: 10.3390/toxics10110706] [Reference Citation Analysis]
2	Limbu S, Dakshanamurthy S. Predicting Chemical Carcinogens Using a Hybrid Neural Network Deep Learning Method. Sensors 2022;22:8185. [DOI: 10.3390/s22218185] [Reference Citation Analysis]