| PredictSNP: robust and accurate consensus classifier for prediction of disease-related mutations J Bendl, J Stourac, O Salanda, A Pavelka, ED Wieben, J Zendulka, ... PLoS computational biology 10 (1), e1003440, 2014 | 740 | 2014 |
| The Mount Sinai cohort of large-scale genomic, transcriptomic and proteomic data in Alzheimer's disease M Wang, ND Beckmann, P Roussos, E Wang, X Zhou, Q Wang, C Ming, ... Scientific data 5 (1), 1-16, 2018 | 310 | 2018 |
| PredictSNP2: a unified platform for accurately evaluating SNP effects by exploiting the different characteristics of variants in distinct genomic regions J Bendl, M Musil, J Štourač, J Zendulka, J Damborský, J Brezovský PLoS computational biology 12 (5), e1004962, 2016 | 183 | 2016 |
| An atlas of chromatin accessibility in the adult human brain JF Fullard, ME Hauberg, J Bendl, G Egervari, MD Cirnaru, SM Reach, ... Genome research 28 (8), 1243-1252, 2018 | 171 | 2018 |
| CommonMind Consortium provides transcriptomic and epigenomic data for Schizophrenia and Bipolar Disorder GE Hoffman, J Bendl, G Voloudakis, KS Montgomery, L Sloofman, ... Scientific data 6 (1), 180, 2019 | 169 | 2019 |
| FireProt: energy-and evolution-based computational design of thermostable multiple-point mutants D Bednar, K Beerens, E Sebestova, J Bendl, S Khare, R Chaloupkova, ... PLoS computational biology 11 (11), e1004556, 2015 | 163 | 2015 |
| Genome-wide analyses of ADHD identify 27 risk loci, refine the genetic architecture and implicate several cognitive domains D Demontis, GB Walters, G Athanasiadis, R Walters, K Therrien, ... Nature genetics 55 (2), 198-208, 2023 | 150 | 2023 |
| Integration of Alzheimer’s disease genetics and myeloid genomics identifies disease risk regulatory elements and genes G Novikova, M Kapoor, J Tcw, EM Abud, AG Efthymiou, SX Chen, ... Nature communications 12 (1), 1610, 2021 | 142 | 2021 |
| FireProt: web server for automated design of thermostable proteins M Musil, J Stourac, J Bendl, J Brezovsky, Z Prokop, J Zendulka, ... Nucleic acids research 45 (W1), W393-W399, 2017 | 127 | 2017 |
| Common genetic variation influencing human white matter microstructure B Zhao, T Li, Y Yang, X Wang, T Luo, Y Shan, Z Zhu, D Xiong, ... Science 372 (6548), eabf3736, 2021 | 123 | 2021 |
| HotSpot Wizard 2.0: automated design of site-specific mutations and smart libraries in protein engineering J Bendl, J Stourac, E Sebestova, O Vavra, M Musil, J Brezovsky, ... Nucleic acids research 44 (W1), W479-W487, 2016 | 102 | 2016 |
| Computer-assisted engineering of the synthetic pathway for biodegradation of a toxic persistent pollutant NP Kurumbang, P Dvorak, J Bendl, J Brezovsky, Z Prokop, J Damborsky ACS synthetic biology 3 (3), 172-181, 2014 | 58 | 2014 |
| Common schizophrenia risk variants are enriched in open chromatin regions of human glutamatergic neurons ME Hauberg, J Creus-Muncunill, J Bendl, A Kozlenkov, B Zeng, C Corwin, ... Nature communications 11 (1), 5581, 2020 | 56 | 2020 |
| Genetics of the human microglia regulome refines Alzheimer’s disease risk loci R Kosoy, JF Fullard, B Zeng, J Bendl, P Dong, S Rahman, SP Kleopoulos, ... Nature genetics 54 (8), 1145-1154, 2022 | 53 | 2022 |
| Common variants contribute to intrinsic human brain functional networks B Zhao, T Li, SM Smith, D Xiong, X Wang, Y Yang, T Luo, Z Zhu, Y Shan, ... Nature Genetics 54 (4), 508-517, 2022 | 53 | 2022 |
| Multi-ancestry eQTL meta-analysis of human brain identifies candidate causal variants for brain-related traits B Zeng, J Bendl, R Kosoy, JF Fullard, GE Hoffman, P Roussos Nature genetics 54 (2), 161-169, 2022 | 50 | 2022 |
| Functional interpretation of genetic variants using deep learning predicts impact on chromatin accessibility and histone modification GE Hoffman, J Bendl, K Girdhar, EE Schadt, P Roussos Nucleic acids research 47 (20), 10597-10611, 2019 | 43 | 2019 |
| Sex differences in the human brain transcriptome of cases with schizophrenia GE Hoffman, Y Ma, KS Montgomery, J Bendl, MK Jaiswal, A Kozlenkov, ... Biological psychiatry 91 (1), 92-101, 2022 | 41 | 2022 |
| A chromosomal connectome for psychiatric and metabolic risk variants in adult dopaminergic neurons S Espeso-Gil, T Halene, J Bendl, B Kassim, G Ben Hutta, M Iskhakova, ... Genome medicine 12, 1-19, 2020 | 39 | 2020 |
| Depression pathophysiology, risk prediction of recurrence and comorbid psychiatric disorders using genome-wide analyses TD Als, MI Kurki, J Grove, G Voloudakis, K Therrien, E Tasanko, ... Nature medicine 29 (7), 1832-1844, 2023 | 38 | 2023 |
Panos RoussosIcahn School of Medicine at Mount SinaiVerified email at mssm.edu
