APA (7th ed.) Citation

L, L., S, S., L, K., R, A., P, A., S, T., . . . B, Z. (2025). An Application of a Large-Scale, Data-Driven Approach to Prioritize Compound-Targeted Conditions in the Nutraceutical Space: Case Study of QuercefitTM (Quercetin Phytosome) Toward Unbalanced Lipid Conditions in Metabolically Challenged Adults. Molecular nutrition & food research, 69(22), e70253. https://doi.org/10.1002/mnfr.70253

Chicago Style (17th ed.) Citation

L, Lili, et al. "An Application of a Large-Scale, Data-Driven Approach to Prioritize Compound-Targeted Conditions in the Nutraceutical Space: Case Study of QuercefitTM (Quercetin Phytosome) Toward Unbalanced Lipid Conditions in Metabolically Challenged Adults." Molecular Nutrition & Food Research 69, no. 22 (2025): e70253. https://doi.org/10.1002/mnfr.70253.

MLA (9th ed.) Citation

L, Lili, et al. "An Application of a Large-Scale, Data-Driven Approach to Prioritize Compound-Targeted Conditions in the Nutraceutical Space: Case Study of QuercefitTM (Quercetin Phytosome) Toward Unbalanced Lipid Conditions in Metabolically Challenged Adults." Molecular Nutrition & Food Research, vol. 69, no. 22, 2025, p. e70253, https://doi.org/10.1002/mnfr.70253.