| The DNA-binding network of Mycobacterium tuberculosis KJ Minch, TR Rustad, EJR Peterson, J Winkler, DJ Reiss, S Ma, M Hickey, ... Nature communications 6, 5829, 2015 | 145 | 2015 |
| Incipient and subclinical tuberculosis: a clinical review of early stages and progression of infection PK Drain, KL Bajema, D Dowdy, K Dheda, K Naidoo, SG Schumacher, ... Clinical microbiology reviews 31 (4), 2018 | 135 | 2018 |
| Antigen Availability Shapes T Cell Differentiation and Function during Tuberculosis AO Moguche, M Musvosvi, A Penn-Nicholson, CR Plumlee, H Mearns, ... Cell Host & Microbe 21 (6), 695-706. e5, 2017 | 96 | 2017 |
| Mapping and manipulating the Mycobacterium tuberculosis transcriptome using a transcription factor overexpression-derived regulatory network TR Rustad, KJ Minch, S Ma, JK Winkler, S Hobbes, MJ Hickey, W Brabant, ... Genome Biology 15 (11), 502, 2014 | 94 | 2014 |
| Methodology for using long-term accelerometry monitoring to describe daily activity patterns in COPD A Hecht, S Ma, J Porszasz, R Casaburi, COPD Clinical Research Network COPD: Journal of Chronic Obstructive Pulmonary Disease 6 (2), 121-129, 2009 | 94 | 2009 |
| Bacterial factors that predict relapse after tuberculosis therapy R Colangeli, H Jedrey, S Kim, R Connell, S Ma, UD Chippada Venkata, ... New England Journal of Medicine 379 (9), 823-833, 2018 | 66 | 2018 |
| Integrated Modeling of Gene Regulatory and Metabolic Networks in Mycobacterium tuberculosis S Ma, KJ Minch, TR Rustad, S Hobbs, SL Zhou, DR Sherman, ND Price PLoS Computational Biology 11 (11), 2015 | 47 | 2015 |
| Network analysis identifies Rv0324 and Rv0880 as regulators of bedaquiline tolerance in Mycobacterium tuberculosis EJR Peterson, S Ma, DR Sherman, NS Baliga Nature Microbiology, 2016 | 41 | 2016 |
| A comprehensive map of genome-wide gene regulation in Mycobacterium tuberculosis S Turkarslan, EJR Peterson, TR Rustad, KJ Minch, DJ Reiss, R Morrison, ... Scientific Data 2, 2015 | 38 | 2015 |
| Clarifying the equation for modeling of V̇o2 kinetics above the lactate threshold S Ma, HB Rossiter, TJ Barstow, R Casaburi, J Porszasz Journal of Applied Physiology 109 (4), 1283-1284, 2010 | 29 | 2010 |
| Label-free proteomics and systems biology analysis of mycobacterial phagosomes in dendritic cells and macrophages Q Li, CR Singh, S Ma, ND Price, C Jagannath Journal of proteome research 10 (5), 2425-2439, 2011 | 23 | 2011 |
| Combining inferred regulatory and reconstructed metabolic networks enhances phenotype prediction in yeast Z Wang, SA Danziger, BD Heavner, S Ma, JJ Smith, S Li, T Herricks, ... PLOS Computational Biology 13 (5), e1005489, 2017 | 22 | 2017 |
| Phase variation in Mycobacterium tuberculosis glpK produces transiently heritable drug tolerance H Safi, P Gopal, S Lingaraju, S Ma, C Levine, V Dartois, M Yee, L Li, ... Proceedings of the National Academy of Sciences 116 (39), 19665-19674, 2019 | 21 | 2019 |
| Multi-study Integration of Brain Cancer Transcriptomes Reveals Organ-Level Molecular Signatures J Sung, PJK Kim, S Ma, CC Funk, AT Magis, Y Wang, L Hood, D Geman, ... PLoS Computational Biology 9 (7), 2013 | 20 | 2013 |
| Sinusoidal high‐intensity exercise does not elicit ventilatory limitation in chronic obstructive pulmonary disease J Porszasz, M Rambod, H van der Vaart, HB Rossiter, S Ma, R Kiledjian, ... Experimental physiology 98 (6), 1102-1114, 2013 | 19 | 2013 |
| Breath-by-breath quantification of progressive airflow limitation during exercise in COPD: A new method S Ma, A Hecht, J Varga, M Rambod, S Morford, S Goto, R Casaburi, ... Respiratory medicine 104 (3), 389-396, 2010 | 18 | 2010 |
| Measuring the Effect of Inter-Study Variability on Estimating Prediction Error S Ma, J Sung, AT Magis, Y Wang, D Geman, ND Price PLoS ONE 9 (10), 2014 | 17 | 2014 |
| Relation of Concavity in the Expiratory Flow-Volume Loop to Dynamic Hyperinflation during Exercise in COPD J Varga, R Casaburi, S Ma, A Hecht, A Somfay, Porszasz Respiratory Physiology & Neurobiology 234, 79-84, 2016 | 16 | 2016 |
| The DNA-binding network of Mycobacterium tuberculosis. Nat Commun 6: 5829 KJ Minch, TR Rustad, EJ Peterson, J Winkler, DJ Reiss, S Ma, M Hickey, ... | 13 | 2015 |
| Spatial modeling of prostate cancer metabolic gene expression reveals extensive heterogeneity and selective vulnerabilities Y Wang, S Ma, R Walter L Scientific Reports 10 (1), 1-14, 2020 | 10 | 2020 |
David R. ShermanProfessorBestätigte E-Mail-Adresse bei seattlebiomed.org
