| Single-molecule analysis reveals agonist-specific dimer formation of µ-opioid receptors J Möller, A Isbilir, T Sungkaworn, B Osberg, C Karathanasis, V Sunkara, ... Nature Chemical Biology 16 (9), 946-954, 2020 | 108 | 2020 |
| An optimal finite state projection method V Sunkara, M Hegland Procedia Computer Science 1 (1), 1579-1586, 2010 | 33 | 2010 |
| Pain and knee damage in male and female mice in the medial meniscal transection-induced osteoarthritis J Temp, D Labuz, R Negrete, V Sunkara, H Machelska Osteoarthritis and Cartilage 28 (4), 475-485, 2020 | 31 | 2020 |
| The relative contributions of infectious and mitotic spread to HTLV-1 persistence DJ Laydon, V Sunkara, L Boelen, CRM Bangham, B Asquith PLoS computational biology 16 (9), e1007470, 2020 | 24 | 2020 |
| Multiscale systems‐pharmacology pipeline to assess the prophylactic efficacy of NRTIs against HIV‐1 S Duwal, V Sunkara, M Von Kleist CPT: pharmacometrics & systems pharmacology 5 (7), 377-387, 2016 | 23 | 2016 |
| Combining segmental bulk-and single-cell RNA-sequencing to define the chondrocyte gene expression signature in the murine knee joint V Sunkara, GA Heinz, FF Heinrich, P Durek, A Mobasheri, MF Mashreghi, ... Osteoarthritis and Cartilage 29 (6), 905-914, 2021 | 19 | 2021 |
| Discerning the spatio-temporal disease patterns of surgically induced OA mouse models T Haase, V Sunkara, B Kohl, C Meier, P Bußmann, J Becker, M Jagielski, ... PloS one 14 (4), e0213734, 2019 | 19 | 2019 |
| Analysis and numerics of the chemical master equation V Sunkara Australian National University, 2013 | 12 | 2013 |
| The chemical master equation with respect to reaction counts V Sunkara Proc. 18th World IMACS/MODSIM Congress 703, 707, 2009 | 12 | 2009 |
| Inferring gene regulatory networks from single-cell RNA-seq temporal snapshot data requires higher-order moments NA Raharinirina, F Peppert, M von Kleist, C Schütte, V Sunkara Patterns 2 (9), 2021 | 7 | 2021 |
| How to calculate pH-dependent binding rates for receptor–ligand systems based on thermodynamic simulations with different binding motifs S Ray, V Sunkara, C Schütte, M Weber Molecular Simulation 46 (18), 1443-1452, 2020 | 6 | 2020 |
| Coupling cellular phenotype and mechanics to understand extracellular matrix formation and homeostasis in osteoarthritis V Sunkara, M von Kleist IFAC-PapersOnLine 49 (26), 38-43, 2016 | 5 | 2016 |
| Parallelising the finite state projection method V Sunkara, M Hegland ANZIAM Journal 52, C853-C865, 2010 | 5 | 2010 |
| SLCV–a supervised learning—computer vision combined strategy for automated muscle fibre detection in cross-sectional images A Rettig, T Haase, A Pletnyov, B Kohl, W Ertel, M von Kleist, V Sunkara PeerJ 7, e7053, 2019 | 4 | 2019 |
| Error bound for hybrid models of two-scaled stochastic reaction systems T Jahnke, V Sunkara Extraction of Quantifiable Information from Complex Systems, 303-319, 2014 | 4 | 2014 |
| Modelling altered signalling of G-protein coupled receptors in inflamed environment to advance drug design A Thies, V Sunkara, S Ray, H Wulkow, MÖ Celik, F Yergöz, C Schütte, ... Scientific Reports 13 (1), 607, 2023 | 3 | 2023 |
| Volumetric macromolecule identification in cryo-electron tomograms using capsule networks N Hajarolasvadi, V Sunkara, S Khavnekar, F Beck, R Brandt, D Baum BMC bioinformatics 23 (1), 360, 2022 | 3 | 2022 |
| Data-driven modelling of nonlinear dynamics by barycentric coordinates and memory N Wulkow, P Koltai, V Sunkara, C Schütte arXiv preprint arXiv:2112.06742, 2021 | 3 | 2021 |
| On the sufficient condition for solving the gap-filling problem using deep convolutional neural networks F Peppert, M Von Kleist, C Schütte, V Sunkara IEEE Transactions on Neural Networks and Learning Systems 33 (11), 6194-6205, 2021 | 2 | 2021 |
| On the properties of the reaction counts chemical master equation V Sunkara Entropy 21 (6), 607, 2019 | 2 | 2019 |
