| Fundamentals of protein interaction network mapping J Snider, M Kotlyar, P Saraon, Z Yao, I Jurisica, I Stagljar Molecular systems biology 11 (12), 848, 2015 | 292 | 2015 |
| Integrated interactions database: tissue-specific view of the human and model organism interactomes M Kotlyar, C Pastrello, N Sheahan, I Jurisica Nucleic acids research 44 (D1), D536-D541, 2016 | 242 | 2016 |
| IID 2018 update: context-specific physical protein–protein interactions in human, model organisms and domesticated species M Kotlyar, C Pastrello, Z Malik, I Jurisica Nucleic acids research 47 (D1), D581-D589, 2019 | 208 | 2019 |
| The mammalian-membrane two-hybrid assay (MaMTH) for probing membrane-protein interactions in human cells J Petschnigg, B Groisman, M Kotlyar, M Taipale, Y Zheng, CF Kurat, ... Nature methods 11 (5), 585-592, 2014 | 195 | 2014 |
| Comparative systems biology of human and mouse as a tool to guide the modeling of human placental pathology B Cox, M Kotlyar, AI Evangelou, V Ignatchenko, A Ignatchenko, ... Molecular systems biology 5 (1), 279, 2009 | 193 | 2009 |
| In silico prediction of physical protein interactions and characterization of interactome orphans M Kotlyar, C Pastrello, F Pivetta, A Lo Sardo, C Cumbaa, H Li, T Naranian, ... Nature methods 12 (1), 79-84, 2015 | 173 | 2015 |
| A global analysis of the receptor tyrosine kinase-protein phosphatase interactome Z Yao, K Darowski, N St-Denis, V Wong, F Offensperger, A Villedieu, ... Molecular cell 65 (2), 347-360, 2017 | 142 | 2017 |
| Mechanical stiffness controls dendritic cell metabolism and function M Chakraborty, K Chu, A Shrestha, XS Revelo, X Zhang, MJ Gold, S Khan, ... Cell reports 34 (2), 2021 | 121 | 2021 |
| Network-based characterization of drug-regulated genes, drug targets, and toxicity M Kotlyar, K Fortney, I Jurisica Methods 57 (4), 499-507, 2012 | 97 | 2012 |
| Method for determination of co-occurences of attributes M Kotlyar, R Somogyi, J Green, E Steeg, A Ableson US Patent App. 10/478,418, 2004 | 89 | 2004 |
| Systematic protein–protein interaction mapping for clinically relevant human GPCR s K Sokolina, S Kittanakom, J Snider, M Kotlyar, P Maurice, J Gandía, ... Molecular systems biology 13 (3), 918, 2017 | 85 | 2017 |
| pathDIP 4: an extended pathway annotations and enrichment analysis resource for human, model organisms and domesticated species S Rahmati, M Abovsky, C Pastrello, M Kotlyar, R Lu, CA Cumbaa, ... Nucleic acids research 48 (D1), D479-D488, 2020 | 67 | 2020 |
| Inferring the functions of longevity genes with modular subnetwork biomarkers of Caenorhabditis elegansaging K Fortney, M Kotlyar, I Jurisica Genome biology 11, 1-15, 2010 | 62 | 2010 |
| Capturing variation impact on molecular interactions in the IMEx Consortium mutations data set N Del-Toro, M Duesbury, M Koch, L Perfetto, A Shrivastava, D Ochoa, ... Nature communications 10 (1), 10, 2019 | 58 | 2019 |
| Towards a unified open access dataset of molecular interactions P Porras, E Barrera, A Bridge, N Del-Toro, G Cesareni, M Duesbury, ... Nature communications 11 (1), 6144, 2020 | 54 | 2020 |
| Extensive rewiring of the EGFR network in colorectal cancer cells expressing transforming levels of KRASG13D SA Kennedy, MA Jarboui, S Srihari, C Raso, K Bryan, L Dernayka, ... Nature communications 11 (1), 499, 2020 | 51 | 2020 |
| Prioritizing therapeutics for lung cancer: an integrative meta-analysis of cancer gene signatures and chemogenomic data K Fortney, J Griesman, M Kotlyar, C Pastrello, M Angeli, M Sound-Tsao, ... PLoS computational biology 11 (3), e1004068, 2015 | 48 | 2015 |
| IID 2021: towards context-specific protein interaction analyses by increased coverage, enhanced annotation and enrichment analysis M Kotlyar, C Pastrello, Z Ahmed, J Chee, Z Varyova, I Jurisica Nucleic acids research 50 (D1), D640-D647, 2022 | 47 | 2022 |
| MYC interaction with the tumor suppressive SWI/SNF complex member INI1 regulates transcription and cellular transformation A Stojanova, WB Tu, R Ponzielli, M Kotlyar, PK Chan, PC Boutros, ... Cell Cycle 15 (13), 1693-1705, 2016 | 46 | 2016 |
| Spearman correlation identifies statistically significant gene expression clusters in spinal cord development and injury M Kotlyar, S Fuhrman, A Ableson, R Somogyi Neurochemical Research 27, 1133-1140, 2002 | 46 | 2002 |
