| Integrating network reconstruction with mechanistic modeling to predict cancer therapies M Halasz, BN Kholodenko, W Kolch, T Santra Science signaling 9 (455), ra114-ra114, 2016 | 77 | 2016 |
| BGRMI: A method for inferring gene regulatory networks from time-course gene expression data and its application in breast cancer research LF Iglesias-Martinez, W Kolch, T Santra Scientific Reports 6 (1), 37140, 2016 | 47 | 2016 |
| An integrated global analysis of compartmentalized HRAS signaling T Santra, A Herrero, J Rodriguez, A von Kriegsheim, LF Iglesias-Martinez, ... Cell reports 26 (11), 3100-3115. e7, 2019 | 41 | 2019 |
| Integrating Bayesian variable selection with Modular Response Analysis to infer biochemical network topology T Santra, W Kolch, BN Kholodenko BMC systems biology 7, 1-19, 2013 | 39 | 2013 |
| Vascular endothelial growth factor (VEGF) promotes assembly of the p130Cas interactome to drive endothelial chemotactic signaling and angiogenesis IM Evans, SA Kennedy, K Paliashvili, T Santra, M Yamaji, RC Lovering, ... Molecular & Cellular Proteomics 16 (2), 168-180, 2017 | 28 | 2017 |
| Reconstructing static and dynamic models of signaling pathways using Modular Response Analysis T Santra, O Rukhlenko, V Zhernovkov, BN Kholodenko Current Opinion in Systems Biology 9, 11-21, 2018 | 24 | 2018 |
| Primary cilium-associated genes mediate bone marrow stromal cell response to hypoxia JAL Brown, T Santra, P Owens, AM Morrison, F Barry Stem Cell Research 13 (2), 284-299, 2014 | 23 | 2014 |
| A bayesian framework that integrates heterogeneous data for inferring gene regulatory networks T Santra Frontiers in bioengineering and biotechnology 2, 13, 2014 | 20 | 2014 |
| Silence on the relevant literature and errors in implementation P Bastiaens, MR Birtwistle, N Blüthgen, FJ Bruggeman, KH Cho, ... Nature biotechnology 33 (4), 336-339, 2015 | 19 | 2015 |
| Impact of measurement noise, experimental design, and estimation methods on Modular Response Analysis based network reconstruction C Thomaseth, D Fey, T Santra, OS Rukhlenko, NE Radde, ... Scientific reports 8 (1), 16217, 2018 | 16 | 2018 |
| An integrative computational approach for a prioritization of key transcription regulators associated with nanomaterial-induced toxicity V Zhernovkov, T Santra, H Cassidy, O Rukhlenko, D Matallanas, A Krstic, ... Toxicological Sciences 171 (2), 303-314, 2019 | 12 | 2019 |
| Navigating the multilayered organization of eukaryotic signaling: a new trend in data integration T Santra, W Kolch, BN Kholodenko PLoS computational biology 10 (2), e1003385, 2014 | 10 | 2014 |
| A Bayesian algorithm for detecting differentially expressed proteins and its application in breast cancer research T Santra, EI Delatola Scientific Reports 6 (1), 30159, 2016 | 8 | 2016 |
| An integrated bayesian framework for identifying phosphorylation networks in stimulated cells T Santra, B Kholodenko, W Kolch Advances in Systems Biology, 59-80, 2012 | 8 | 2012 |
| Fitting mathematical models of biochemical pathways to steady state perturbation response data without simulating perturbation experiments T Santra Scientific Reports 8 (1), 11679, 2018 | 7 | 2018 |
| A Bayesian non-parametric method for clustering high-dimensional binary data T Santra arXiv preprint arXiv:1603.02494, 2016 | 6 | 2016 |
| Identification of potential new treatment response markers and therapeutic targets using a Gaussian process-based method in lapatinib insensitive breast cancer models Tapesh Santra, Sandra Roche , Neil Conlon, Norma O’Donovan, John Crown ... PLOS ONE 12 (5), e0177058, 2017 | 4 | 2017 |
| A Systems Biology Approach to Investigate Kinase Signal Transduction Networks That Are Involved in Triple Negative Breast Cancer Resistance to Cisplatin N Mukherjee, A Browne, L Ivers, T Santra, M Cremona, BT Hennessy, ... Journal of Personalized Medicine 12 (8), 1277, 2022 | 1 | 2022 |
| Transcriptional regulatory mechanisms of fibrosis development in mouse lung tissue exposed to carbon nanotubes V Zhernovkov, T Santra, H Cassidy, O Rukhlenko, D Matallanas, A Krstic, ... BioRxiV, 363762, 2018 | 1 | 2018 |
| Supplementary material: BGRMI: a method for inferring gene regulatory networks from time course gene expression data and its application on breast cancer research LF Iglesias-Martinez, W Kolch, T Santra Sci Rep 6, 37140, 2016 | 1 | 2016 |
