| Soil pH determines microbial diversity and composition in the park grass experiment K Zhalnina, R Dias, PD de Quadros, A Davis-Richardson, FAO Camargo, ... Microbial ecology 69, 395-406, 2015 | 746 | 2015 |
| Minimum information about clinical artificial intelligence modeling: the MI-CLAIM checklist B Norgeot, G Quer, BK Beaulieu-Jones, A Torkamani, R Dias, ... Nature medicine 26 (9), 1320-1324, 2020 | 430 | 2020 |
| Artificial intelligence in clinical and genomic diagnostics R Dias, A Torkamani Genome medicine 11 (1), 70, 2019 | 407 | 2019 |
| Molecular docking algorithms R Dias, J de Azevedo, F Walter Current drug targets 9 (12), 1040-1047, 2008 | 357 | 2008 |
| Bacteroides dorei dominates gut microbiome prior to autoimmunity in Finnish children at high risk for type 1 diabetes AG Davis-Richardson, AN Ardissone, R Dias, V Simell, MT Leonard, ... Frontiers in microbiology 5, 678, 2014 | 317 | 2014 |
| Genome Sequence of Candidatus Nitrososphaera evergladensis from Group I.1b Enriched from Everglades Soil Reveals Novel Genomic Features of the Ammonia … KV Zhalnina, R Dias, MT Leonard, P Dorr de Quadros, FAO Camargo, ... PLos one 9 (7), e101648, 2014 | 113 | 2014 |
| Computational methods for calculation of ligand-binding affinity J de Azevedo, F Walter, R Dias Current drug targets 9 (12), 1031-1039, 2008 | 101 | 2008 |
| Genomic targets and features of BarA-UvrY (-SirA) signal transduction systems TR Zere, CA Vakulskas, Y Leng, A Pannuri, AH Potts, R Dias, D Tang, ... PLoS One 10 (12), e0145035, 2015 | 96 | 2015 |
| Experimental approaches to evaluate the thermodynamics of protein-drug interactions J de Azevedo, F Walter, R Dias Current Drug Targets 9 (12), 1071-1076, 2008 | 63 | 2008 |
| De Azevedo Jr., WF (2008) R Dias, L Timmers, RA Caceres Curr. Drug Targets 9 (12), 1040-1047, 0 | 56 | |
| Evaluation of ligand-binding affinity using polynomial empirical scoring functions WF de Azevedo Jr, R Dias Bioorganic & medicinal chemistry 16 (20), 9378-9382, 2008 | 47 | 2008 |
| Genotype imputation and variability in polygenic risk score estimation SF Chen, R Dias, D Evans, EL Salfati, S Liu, NE Wineinger, A Torkamani Genome medicine 12, 1-13, 2020 | 46 | 2020 |
| Microbial community composition in Brazilian stored diesel fuel of varying sulfur content, using high-throughput sequencing AO de Azambuja, F Bücker, PD de Quadros, K Zhalnina, R Dias, ... Fuel 189, 340-349, 2017 | 46 | 2017 |
| Evaluation of molecular docking using polynomial empirical scoring functions R Dias, LFS Macedo Timmers, RA Caceres, J de Azevedo, W Filgueira Current drug targets 9 (12), 1062-1070, 2008 | 45 | 2008 |
| Structural studies of human purine nucleoside phosphorylase: towards a new specific empirical scoring function LFSM Timmers, RA Caceres, AL Vivan, LM Gava, R Dias, RG Ducati, ... Archives of biochemistry and biophysics 479 (1), 28-38, 2008 | 42 | 2008 |
| Identification of the Genes Required for the Culture of Liberibacter crescens, the Closest Cultured Relative of the Liberibacter Plant Pathogens KK Lai, AG Davis-Richardson, R Dias, EW Triplett Frontiers in microbiology 7, 547, 2016 | 38 | 2016 |
| Molecular modeling and dynamics simulations of PNP from Streptococcus agalactiae RA Caceres, LFS Timmers, R Dias, LA Basso, DS Santos, ... Bioorganic & medicinal chemistry 16 (9), 4984-4993, 2008 | 37 | 2008 |
| Using both qualitative and quantitative data in parameter identification for systems biology models ED Mitra, R Dias, RG Posner, WS Hlavacek Nature communications 9 (1), 3901, 2018 | 34 | 2018 |
| Molecular modeling as a tool for drug discovery GB Barcellos, I Pauli, RA Caceres, LFS Macedo Timmers, R Dias, ... Current drug targets 9 (12), 1084-1091, 2008 | 34 | 2008 |
| A roadmap for the functional annotation of protein families: a community perspective V de Crécy-Lagard, R Amorin de Hegedus, C Arighi, J Babor, A Bateman, ... Database 2022, baac062, 2022 | 32 | 2022 |