| MAPK kinase signalling dynamics regulate cell fate decisions and drug resistance N Rauch, OS Rukhlenko, W Kolch, BN Kholodenko Current Opinion in Structural Biology 41, 151-158, 2016 | 99 | 2016 |
| The complexities and versatility of the RAS-to-ERK signalling system in normal and cancer cells D Fey, D Matallanas, J Rauch, OS Rukhlenko, BN Kholodenko Seminars in cell & developmental biology 58, 96-107, 2016 | 80 | 2016 |
| Dissecting RAF inhibitor resistance by structure-based modeling reveals ways to overcome oncogenic RAS signaling OS Rukhlenko, F Khorsand, A Krstic, J Rozanc, LG Alexopoulos, N Rauch, ... Cell systems 7 (2), 161-179. e14, 2018 | 70 | 2018 |
| Control of cell state transitions OS Rukhlenko, M Halasz, N Rauch, V Zhernovkov, T Prince, K Wynne, ... Nature 609 (7929), 975-985, 2022 | 63 | 2022 |
| 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 | 62 | 2020 |
| Periodic propagating waves coordinate RhoGTPase network dynamics at the leading and trailing edges during cell migration BNK Alfonso Bolado-Carrancio, Oleksii S Rukhlenko, Elena Nikonova, Mikhail A ... eLife 9, e58165, 2020 | 60 | 2020 |
| Mathematical modeling of intravascular blood coagulation under wall shear stress OS Rukhlenko, OA Dudchenko, KE Zlobina, GT Guria PloS one 10 (7), e0134028, 2015 | 43 | 2015 |
| A systematic analysis of signaling reactivation and drug resistance BN Kholodenko, N Rauch, W Kolch, OS Rukhlenko Cell reports 35 (8), 2021 | 31 | 2021 |
| 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 | 25 | 2018 |
| New insights into RAS biology reinvigorate interest in mathematical modeling of RAS signaling KE Erickson, OS Rukhlenko, RG Posner, WS Hlavacek, BN Kholodenko Seminars in cancer biology 54, 162-173, 2019 | 21 | 2019 |
| Region-specific changes in activities of cell death-related proteases and nitric oxide metabolism in rat brain in a chronic unpredictable stress model A Tishkina, A Rukhlenko, M Stepanichev, I Levshina, N Pasikova, ... Metabolic brain disease 27, 431-441, 2012 | 18 | 2012 |
| 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 | 17 | 2018 |
| Channeling macrophage polarization by rocaglates increases macrophage resistance to Mycobacterium tuberculosis S Chatterjee, SM Yabaji, OS Rukhlenko, B Bhattacharya, E Waligurski, ... Iscience 24 (8), 2021 | 15 | 2021 |
| Modeling cell line-specific recruitment of signaling proteins to the insulin-like growth factor 1 receptor KE Erickson, OS Rukhlenko, M Shahinuzzaman, KP Slavkova, YT Lin, ... PLoS computational biology 15 (1), e1006706, 2019 | 14 | 2019 |
| 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 | 13 | 2019 |
| Гидродинамическая активация свертывания крови в стенозированных сосудах. Теоретический анализ АС Рухленко, КЕ Злобина, ГТ Гурия Компьютерные исследования и моделирование 4 (1), 155-183, 2012 | 13 | 2012 |
| Mapping connections in signaling networks with ambiguous modularity D Lill, OS Rukhlenko, AJ Mc Elwee, E Kashdan, J Timmer, ... npj Systems Biology and Applications 5 (1), 19, 2019 | 11 | 2019 |
| Reversing pathological cell states: The road less travelled can extend the therapeutic horizon BN Kholodenko, W Kolch, OS Rukhlenko Trends in cell biology 33 (11), 913-923, 2023 | 10 | 2023 |
| Dissecting RAF Inhibitor Resistance by Structure-based Modeling Reveals Ways to Overcome Oncogenic RAS Signaling. Cell Syst. 2018 Aug; 7 (2): 161–179. e14 OS Rukhlenko, F Khorsand, A Krstic, J Rozanc, LG Alexopoulos, N Rauch | 9 | |
| Cell state transition analysis identifies interventions that improve control of Mycobacterium tuberculosis infection by susceptible macrophages SM Yabaji, OS Rukhlenko, S Chatterjee, B Bhattacharya, E Wood, ... Science Advances 9 (39), eadh4119, 2023 | 7 | 2023 |
