| Genetically encodable fluorescent biosensors for tracking signaling dynamics in living cells RH Newman, MD Fosbrink, J Zhang Chemical reviews 111 (5), 3614-3666, 2011 | 395 | 2011 |
| Construction of human activity‐based phosphorylation networks RH Newman, J Hu, HS Rho, Z Xie, C Woodard, J Neiswinger, C Cooper, ... Molecular systems biology 9 (1), 655, 2013 | 193 | 2013 |
| The structure and function of fluorescent proteins V Sample, RH Newman, J Zhang Chemical Society Reviews 38 (10), 2852-2864, 2009 | 168 | 2009 |
| PhosphoNetworks: a database for human phosphorylation networks J Hu, HS Rho, RH Newman, J Zhang, H Zhu, J Qian Bioinformatics 30 (1), 141-142, 2014 | 133 | 2014 |
| Activation of diverse signalling pathways by oncogenic PIK3CA mutations X Wu, S Renuse, NA Sahasrabuddhe, MS Zahari, R Chaerkady, MS Kim, ... Nature communications 5 (1), 4961, 2014 | 82 | 2014 |
| Visualization of phosphatase activity in living cells with a FRET-based calcineurin activity sensor RH Newman, J Zhang Molecular bioSystems 4 (6), 496-501, 2008 | 78 | 2008 |
| DeepSuccinylSite: a deep learning based approach for protein succinylation site prediction N Thapa, M Chaudhari, S McManus, K Roy, RH Newman, H Saigo, DB Kc BMC bioinformatics 21, 1-10, 2020 | 62 | 2020 |
| RF‐Phos: A novel general phosphorylation site prediction tool based on random Forest HD Ismail, A Jones, JH Kim, RH Newman, DB Kc BioMed research international 2016 (1), 3281590, 2016 | 60 | 2016 |
| Toward a systems-level view of dynamic phosphorylation networks RH Newman, J Zhang, H Zhu Frontiers in genetics 5, 263, 2014 | 59 | 2014 |
| Global analysis of phosphorylation networks in humans J Hu, HS Rho, RH Newman, W Hwang, J Neiswinger, H Zhu, J Zhang, ... Biochimica et Biophysica Acta (BBA)-Proteins and Proteomics 1844 (1), 224-231, 2014 | 48 | 2014 |
| Improving protein succinylation sites prediction using embeddings from protein language model S Pokharel, P Pratyush, M Heinzinger, RH Newman, DB Kc Scientific reports 12 (1), 16933, 2022 | 44 | 2022 |
| SARS-COV-2, infection, transmission, transcription, translation, proteins, and treatment: A review J Emrani, M Ahmed, L Jeffers-Francis, JC Teleha, N Mowa, RH Newman, ... International journal of biological macromolecules 193, 1249-1273, 2021 | 40 | 2021 |
| RF-GlutarySite: a random forest based predictor for glutarylation sites HJ Al-Barakati, H Saigo, RH Newman Molecular omics 15 (3), 189-204, 2019 | 40 | 2019 |
| Phosphorylation of the chromatin binding domain of KSHV LANA C Woodard, M Shamay, G Liao, J Zhu, AN Ng, R Li, R Newman, HS Rho, ... Public Library of Science 8 (10), e1002972, 2012 | 32 | 2012 |
| RF-Hydroxysite: a random forest based predictor for hydroxylation sites HD Ismail, RH Newman Molecular BioSystems 12 (8), 2427-2435, 2016 | 29 | 2016 |
| DeepRMethylSite: a deep learning based approach for prediction of arginine methylation sites in proteins M Chaudhari, N Thapa, K Roy, RH Newman, H Saigo, BKC Dukka Molecular omics 16 (5), 448-454, 2020 | 28 | 2020 |
| Isoform-specific interactions between meprin metalloproteases and the catalytic subunit of protein kinase A: significance in acute and chronic kidney injury JMV Niyitegeka, AC Bastidas, RH Newman, SS Taylor, EM Ongeri American Journal of Physiology-Renal Physiology 308 (1), F56-F68, 2015 | 28 | 2015 |
| Fucci: street lights on the road to mitosis RH Newman, J Zhang Chemistry & biology 15 (2), 97-98, 2008 | 28 | 2008 |
| Profiling the dynamics of a human phosphorylome reveals new components in HGF/c-Met signaling CL Woodard, CR Goodwin, J Wan, S Xia, R Newman, J Hu, J Zhang, ... PLoS One 8 (9), e72671, 2013 | 24 | 2013 |
| Computational analysis of the binding mechanism of GenX and HSA J Delva-Wiley, I Jahan, RH Newman, L Zhang, M Dong ACS omega 6 (43), 29166-29170, 2021 | 21 | 2021 |
Jin ZhangUniversity of California, San DiegoVerified email at ucsd.edu