| Estimated transmissibility and impact of SARS-CoV-2 lineage B. 1.1. 7 in England NG Davies, S Abbott, RC Barnard, CI Jarvis, AJ Kucharski, JD Munday, ... Science 372 (6538), eabg3055, 2021 | 2807* | 2021 |
| Establishing microbial composition measurement standards with reference frames JT Morton, C Marotz, A Washburne, J Silverman, LS Zaramela, A Edlund, ... Nature communications 10 (1), 2719, 2019 | 499 | 2019 |
| A phylogenetic transform enhances analysis of compositional microbiota data JD Silverman, AD Washburne, S Mukherjee, LA David Elife 6, e21887, 2017 | 301 | 2017 |
| Allogenic fecal microbiota transplantation in patients with nonalcoholic fatty liver disease improves abnormal small intestinal permeability: a randomized control trial L Craven, A Rahman, SN Parvathy, M Beaton, J Silverman, K Qumosani, ... Official journal of the American College of Gastroenterology| ACG 115 (7 …, 2020 | 219 | 2020 |
| COVID-19 Genomics UK (COG-UK) Consortium. Diaz-Ordaz K, Keogh R, Eggo RM, Funk S, Jit M, Atkins KE, Edmunds WJ. Estimated transmissibility and impact of SARS-CoV-2 lineage B. 1 … NG Davies, S Abbott, RC Barnard, CI Jarvis, AJ Kucharski, JD Munday, ... Science 372 (6538), 3055, 2021 | 176 | 2021 |
| Using influenza surveillance networks to estimate state-specific prevalence of SARS-CoV-2 in the United States JD Silverman, N Hupert, AD Washburne Science translational medicine 12 (554), eabc1126, 2020 | 134* | 2020 |
| Naught all zeros in sequence count data are the same JD Silverman, K Roche, S Mukherjee, LA David Computational and Structural Biotechnology Journal 18, 2789-2798, 2020 | 121 | 2020 |
| Phylogenetic factorization of compositional data yields lineage-level associations in microbiome datasets AD Washburne, JD Silverman, JW Leff, DJ Bennett, JL Darcy, ... PeerJ 5, e2969, 2017 | 117 | 2017 |
| Dynamic linear models guide design and analysis of microbiota studies within artificial human guts JD Silverman, HK Durand, RJ Bloom, S Mukherjee, LA David Microbiome 6 (1), 306597, 2018 | 81 | 2018 |
| Human Gut Microbiota Predicts Susceptibility to Vibrio cholerae Infection FS Midani, AA Weil, F Chowdhury, YA Begum, AI Khan, MD Debela, ... The Journal of infectious diseases 218 (4), 645-653, 2018 | 73 | 2018 |
| Short-chain fatty acid production by gut microbiota from children with obesity differs according to prebiotic choice and bacterial community composition ZC Holmes, JD Silverman, HK Dressman, Z Wei, EP Dallow, ... MBio 11 (4), 10.1128/mbio. 00914-20, 2020 | 61 | 2020 |
| Phylofactorization: a graph partitioning algorithm to identify phylogenetic scales of ecological data AD Washburne, JD Silverman, JT Morton, DJ Becker, D Crowley, ... Ecological Monographs 89 (2), e01353, 2019 | 60 | 2019 |
| Measuring and mitigating PCR bias in microbiota datasets JD Silverman, RJ Bloom, S Jiang, HK Durand, E Dallow, S Mukherjee, ... PLoS computational biology 17 (7), e1009113, 2021 | 57 | 2021 |
| Interindividual variation in dietary carbohydrate metabolism by gut bacteria revealed with droplet microfluidic culture MM Villa, RJ Bloom, JD Silverman, HK Durand, S Jiang, A Wu, EP Dallow, ... Msystems 5 (3), 10.1128/msystems. 00864-19, 2020 | 49* | 2020 |
| Modeling the temporal dynamics of the gut microbial community in adults and infants L Shenhav, O Furman, L Briscoe, M Thompson, JD Silverman, I Mizrahi, ... PLoS computational biology 15 (6), e1006960, 2019 | 48 | 2019 |
| Microbiota responses to different prebiotics are conserved within individuals and associated with habitual fiber intake ZC Holmes, MM Villa, HK Durand, S Jiang, EP Dallow, BL Petrone, ... Microbiome 10 (1), 114, 2022 | 47 | 2022 |
| Bayesian multinomial logistic normal models through marginally latent matrix-T processes JD Silverman, K Roche, ZC Holmes, LA David, S Mukherjee Journal of Machine Learning Research 23 (7), 1-42, 2022 | 38 | 2022 |
| The Pediatric Obesity Microbiome and Metabolism Study (POMMS): methods, baseline data, and early insights JR McCann, NA Bihlmeyer, K Roche, C Catherine, J Jawahar, LC Kwee, ... Obesity 29 (3), 569-578, 2021 | 23 | 2021 |
| DNA extraction and host depletion methods significantly impact and potentially bias bacterial detection in a biological fluid E Ganda, KL Beck, N Haiminen, JD Silverman, B Kawas, BD Cronk, ... Msystems 6 (3), 10.1128/msystems. 00619-21, 2021 | 22 | 2021 |
| Statistical considerations in the design and analysis of longitudinal microbiome studies JD Silverman, L Shenhav, E Halperin, S Mukherjee, LA David BioRxiv, 448332, 2018 | 16 | 2018 |
Lawrence A DavidAssociate Professor, Duke UniversityOverená e-mailová adresa na: duke.edu
