| The role of the aryl hydrocarbon receptor (AHR) in immune and inflammatory diseases DR Neavin, D Liu, B Ray, RM Weinshilboum International journal of molecular sciences 19 (12), 3851, 2018 | 208 | 2018 |
| TSPAN5, ERICH3 and selective serotonin reuptake inhibitors in major depressive disorder: pharmacometabolomics-informed pharmacogenomics M Gupta, D Neavin, D Liu, J Biernacka, D Hall-Flavin, WV Bobo, MA Frye, ... Molecular psychiatry 21 (12), 1717-1725, 2016 | 106 | 2016 |
| Pharmacogenomics‐driven prediction of antidepressant treatment outcomes: a machine‐learning approach with multi‐trial replication AP Athreya, D Neavin, T Carrillo‐Roa, M Skime, J Biernacka, MA Frye, ... Clinical Pharmacology & Therapeutics 106 (4), 855-865, 2019 | 81 | 2019 |
| Beta-defensin 1, aryl hydrocarbon receptor and plasma kynurenine in major depressive disorder: metabolomics-informed genomics D Liu, B Ray, DR Neavin, J Zhang, AP Athreya, JM Biernacka, WV Bobo, ... Translational psychiatry 8 (1), 10, 2018 | 68 | 2018 |
| Single cell eQTL analysis identifies cell type-specific genetic control of gene expression in fibroblasts and reprogrammed induced pluripotent stem cells D Neavin, Q Nguyen, MS Daniszewski, HH Liang, HS Chiu, YK Wee, ... Genome biology 22, 1-19, 2021 | 67 | 2021 |
| Metabolomic signature of exposure and response to citalopram/escitalopram in depressed outpatients S Bhattacharyya, AT Ahmed, M Arnold, D Liu, C Luo, H Zhu, ... Translational psychiatry 9 (1), 173, 2019 | 63 | 2019 |
| Pharmacometabolomics informs pharmacogenomics D Neavin, R Kaddurah-Daouk, R Weinshilboum Metabolomics 12, 1-6, 2016 | 54 | 2016 |
| Augmentation of physician assessments with multi-omics enhances predictability of drug response: a case study of major depressive disorder A Athreya, R Iyer, D Neavin, L Wang, R Weinshilboum, ... IEEE computational intelligence magazine 13 (3), 20-31, 2018 | 43 | 2018 |
| Acylcarnitine metabolomic profiles inform clinically-defined major depressive phenotypes AT Ahmed, S MahmoudianDehkordi, S Bhattacharyya, M Arnold, D Liu, ... Journal of affective disorders 264, 90-97, 2020 | 39 | 2020 |
| Transcriptomic and proteomic retinal pigment epithelium signatures of age-related macular degeneration A Senabouth, M Daniszewski, GE Lidgerwood, HH Liang, D Hernández, ... Nature Communications 13 (1), 4233, 2022 | 34 | 2022 |
| ERICH3: vesicular association and antidepressant treatment response D Liu, Y Zhuang, L Zhang, H Gao, D Neavin, T Carrillo-Roa, Y Wang, J Yu, ... Molecular psychiatry 26 (6), 2415-2428, 2021 | 26 | 2021 |
| Prediction of short-term antidepressant response using probabilistic graphical models with replication across multiple drugs and treatment settings AP Athreya, T Brückl, EB Binder, A John Rush, J Biernacka, MA Frye, ... Neuropsychopharmacology 46 (7), 1272-1282, 2021 | 18 | 2021 |
| Pharmacogenomic next-generation DNA sequencing: lessons from the identification and functional characterization of variants of unknown significance in CYP2C9 and CYP2C19 S Devarajan, I Moon, MF Ho, NB Larson, DR Neavin, AM Moyer, JL Black, ... Drug Metabolism and Disposition 47 (4), 425-435, 2019 | 18 | 2019 |
| Single Nucleotide Polymorphisms at a Distance from Aryl Hydrocarbon Receptor (AHR) Binding Sites Influence AHR Ligand–Dependent Gene Expression DR Neavin, JH Lee, D Liu, Z Ye, H Li, L Wang, T Ordog, ... Drug Metabolism and Disposition 47 (9), 983-994, 2019 | 17 | 2019 |
| A village in a dish model system for population-scale hiPSC studies DR Neavin, AM Steinmann, N Farbehi, HS Chiu, MS Daniszewski, ... Nature Communications 14 (1), 3240, 2023 | 14 | 2023 |
| Dual roles for the TSPYL family in mediating serotonin transport and the metabolism of selective serotonin reuptake inhibitors in patients with major depressive disorder S Qin, AR Eugene, D Liu, L Zhang, D Neavin, JM Biernacka, J Yu, ... Clinical Pharmacology & Therapeutics 107 (3), 662-670, 2020 | 13 | 2020 |
| Treatment of major depressive disorder in pediatric populations DR Neavin, J Joyce, C Swintak Diseases 6 (2), 48, 2018 | 13 | 2018 |
| Demuxafy: improvement in droplet assignment by integrating multiple single-cell demultiplexing and doublet detection methods D Neavin, A Senabouth, H Arora, JTH Lee, A Ripoll-Cladellas, ... Genome Biology 25 (1), 94, 2024 | 11 | 2024 |
| Data-driven longitudinal modeling and prediction of symptom dynamics in major depressive disorder: Integrating factor graphs and learning methods AP Athreya, SS Banerjee, D Neavin, R Kaddurah-Daouk, AJ Rush, ... 2017 IEEE conference on computational intelligence in bioinformatics and …, 2017 | 11 | 2017 |
| Shared genetic susceptibility between trigger finger and carpal tunnel syndrome: a genome-wide association study B Patel, SO Kleeman, D Neavin, J Powell, G Baskozos, M Ng, DL Bennett, ... The Lancet Rheumatology 4 (8), e556-e565, 2022 | 7 | 2022 |
