| FinnGen: Unique genetic insights from combining isolated population and national health register data MI Kurki, J Karjalainen, P Palta, TP Sipilä, K Kristiansson, K Donner, ... MedRxiv, 2022.03. 03.22271360, 2022 | 370 | 2022 |
| Whole‐exome sequencing in 20,197 persons for rare variants in Alzheimer's disease NS Raghavan, AM Brickman, H Andrews, JJ Manly, N Schupf, R Lantigua, ... Annals of clinical and translational neurology 5 (7), 832-842, 2018 | 118 | 2018 |
| Genetics of Alzheimer’s disease: the importance of polygenic and epistatic components N Raghavan, G Tosto Current neurology and neuroscience reports 17, 1-10, 2017 | 62 | 2017 |
| Sex differences in depressive, anxious behaviors and hippocampal transcript levels in a genetic rat model NS Mehta, L Wang, EE Redei Genes, Brain and Behavior 12 (7), 695-704, 2013 | 52 | 2013 |
| Association between common variants in RBFOX1, an RNA-binding protein, and brain amyloidosis in early and preclinical Alzheimer disease NS Raghavan, L Dumitrescu, E Mormino, ER Mahoney, AJ Lee, Y Gao, ... JAMA neurology 77 (10), 1288-1298, 2020 | 49 | 2020 |
| Sex differences in the genetic architecture of cognitive resilience to Alzheimer’s disease JM Eissman, L Dumitrescu, ER Mahoney, AN Smith, S Mukherjee, ML Lee, ... Brain 145 (7), 2541-2554, 2022 | 35 | 2022 |
| Nature and nurture: environmental influences on a genetic rat model of depression NS Mehta-Raghavan, SL Wert, C Morley, EN Graf, EE Redei Translational psychiatry 6 (3), e770-e770, 2016 | 33 | 2016 |
| FMNL2 regulates gliovascular interactions and is associated with vascular risk factors and cerebrovascular pathology in Alzheimer’s disease AJ Lee, NS Raghavan, P Bhattarai, T Siddiqui, S Sariya, ... Acta neuropathologica 144 (1), 59-79, 2022 | 25 | 2022 |
| The promise of biomarkers in diagnosing major depression in primary care: the present and future EE Redei, NS Mehta Current psychiatry reports 17, 1-9, 2015 | 24 | 2015 |
| Blood transcriptomic markers for major depression: from animal models to clinical settings EE Redei, NS Mehta Annals of the New York Academy of Sciences 1344 (1), 37-49, 2015 | 21 | 2015 |
| Genomic variation in educational attainment modifies Alzheimer disease risk NS Raghavan, B Vardarajan, R Mayeux Neurology: Genetics 5 (2), e310, 2019 | 20 | 2019 |
| Aberrant resting-state functional connectivity in a genetic rat model of depression KA Williams, NS Mehta, EE Redei, L Wang, D Procissi Psychiatry Research: Neuroimaging 222 (1-2), 111-113, 2014 | 19 | 2014 |
| Prepubertal ovariectomy exaggerates adult affective behaviors and alters the hippocampal transcriptome in a genetic rat model of depression NS Raghavan, H Chen, M Schipma, W Luo, S Chung, L Wang, EE Redei Frontiers in Endocrinology 8, 373, 2018 | 12 | 2018 |
| Parkinson’s disease causality and heterogeneity: a proteogenomic view S Kaiser, L Zhang, B Mollenhauer, J Jacob, S Longerich, J Del-Aguila, ... medRxiv, 2022.03. 09.22272131, 2022 | 6 | 2022 |
| FMNL2 interacts with cerebrovascular risk factors to alter Alzheimer’s disease risk NS Raghavan, S Sariya, AJ Lee, Y Gao, D Reyes-Dumeyer, PL De Jager, ... medRxiv, 2020.08. 30.20184879, 2020 | 1 | 2020 |
| P2‐193: Treatment effects on hippocampal degeneration in dementia of the Alzheimer type J Csernansky, L Wang, N Mehta, I Karagodin, MF Beg, J Morris, J Galvin Alzheimer's & Dementia 7, S374-S375, 2011 | | 2011 |
| Whole-exome sequencing in 20,197 persons for rare variants in Alzheimer's disease. NS Raghavan, AM Brickman, H Andrews, JJ Manly, N Schupf, R Lantigua, ... | | |
