Badenoch, B., Fiehn, O., Rappaport, N., Srivastava, P., Watanabe, K., Chandrasekaran, S., & Miller, R. A. (2025). Discrimination of normal from slow-aging mice by plasma metabolomic and proteomic features. GeroScience. Advance online publication. https://doi.org/10.1007/s11357-025-02028-3 [Aging]
Gumuskaya, G., Davey, N., Srivastava, P., Bender, A., Pio-Lopez, L., Hazel, D., & Levin, M. (2025). The morphological, behavioral, and transcriptomic life cycle of anthrobots. Advanced Science, 12(31). [Organoid, Morphology]
Gumuskaya, G., Srivastava, P., Cooper, B. G., Lesser, H., Semegran, B., Garnier, S., & Levin, M. (2024). Motile living biobots self-construct from adult human somatic progenitor seed cells. Advanced Science, 11(4), 2303575. [Organoid, Morphology]
Srivastava, P., Kane, A., Harrison, C., & Levin, M. (2021). A meta-analysis of bioelectric data in cancer, embryogenesis, and regeneration. Bioelectricity, 3(1), 42–67. [Bioelectricity]
Liu, Q., Srivastava, P., Rozhkov, I., Farnum, G. A., Holmes, M. J., Fritsche, L. G., Belmonte, D., Ade, A., Sun, J., Yocum, A., et al. (2025). A linear analysis mixed model phenotyper (LAMP) for bipolar disorder: Evaluating the impact of medication, substance use disorders, and comorbidities on mood trajectories [Preprint]. medRxiv. [Bipolar Disorder, Statistical Modeling]
Srivastava, P., Takegami, M., & Chen, C.-H. (2020). Predictors of sleep recall bias in college students (Technical report). Center for Open Science. [Data Science]
Srivastava, P. (2020). Study of prefixes in Old English, Old High German and Gothic. Rye High School. Advised by: Don Ringe [Morphology, Diachronic]
Google Scholar: Link