| Superstatistical energy distributions of an ion in an ultracold buffer gas I Rouse, S Willitsch Physical review letters 118 (14), 143401, 2017 | 76 | 2017 |
| A multiscale model of protein adsorption on a nanoparticle surface D Power, I Rouse, S Poggio, E Brandt, H Lopez, A Lyubartsev, V Lobaskin Modelling and Simulation in Materials Science and Engineering 27 (8), 084003, 2019 | 37 | 2019 |
| First principles characterisation of bio–nano interface I Rouse, D Power, EG Brandt, M Schneemilch, K Kotsis, N Quirke, ... Physical Chemistry Chemical Physics 23 (24), 13473-13482, 2021 | 33 | 2021 |
| In Silico Prediction of Protein Adsorption Energy on Titanium Dioxide and Gold Nanoparticles SA Alsharif, D Power, I Rouse, V Lobaskin Nanomaterials 10 (10), 1967, 2020 | 21 | 2020 |
| Superstatistical velocity distributions of cold trapped ions in molecular-dynamics simulations I Rouse, S Willitsch Physical Review A 92 (5), 053420, 2015 | 20 | 2015 |
| A hard-sphere model of protein corona formation on spherical and cylindrical nanoparticles I Rouse, V Lobaskin Biophysical Journal 120 (20), 4457-4471, 2021 | 17 | 2021 |
| Computational prediction and experimental analysis of the nanoparticle-protein corona: Showcasing an in vitro-in silico workflow providing FAIR data I Hasenkopf, R Mills-Goodlet, L Johnson, I Rouse, M Geppert, A Duschl, ... Nano Today 46, 101561, 2022 | 16 | 2022 |
| Energy distributions of an ion in a radio-frequency trap immersed in a buffer gas under the influence of additional external forces I Rouse, S Willitsch Physical Review A 97 (4), 042712, 2018 | 13 | 2018 |
| An ancestral molecular response to nanomaterial particulates G Del Giudice, A Serra, LA Saarimäki, K Kotsis, I Rouse, SA Colibaba, ... Nature Nanotechnology 18 (8), 957-966, 2023 | 12 | 2023 |
| In silico prediction of protein binding affinities onto core–shell PEGylated noble metal nanoparticles for rational design of drug nanocarriers J Subbotina, I Rouse, V Lobaskin Nanoscale 15 (32), 13371-13383, 2023 | 5 | 2023 |
| Machine-learning based prediction of small molecule–surface interaction potentials I Rouse, V Lobaskin Faraday Discussions 244, 306-335, 2023 | 4 | 2023 |
| Advanced in silico characterization of nanomaterials for nanoparticle toxicology I Rouse, D Power, EG Brandt, M Schneemilch, K Kotsis, N Quirke, ... arXiv preprint arXiv:2007.04017, 2020 | 4 | 2020 |
| The energy distribution of an ion in a radiofrequency trap interacting with a nonuniform neutral buffer gas I Rouse, S Willitsch Molecular Physics 117 (21), 3120-3131, 2019 | 3 | 2019 |
| Harmonising knowledge for safer materials via the “NanoCommons” Knowledge Base D Maier, TE Exner, AG Papadiamantis, A Ammar, A Tsoumanis, ... Frontiers in Physics 11, 1271842, 2023 | 2 | 2023 |
| Multiscale modelling for biomolecular corona formation on metallic surfaces PM Amini, I Rouse, J Subbotina, V Lobaskin Beilstein Archives 2023 (1), 45, 2023 | 1 | 2023 |
| A gene regulation model reveals an ancestral adaptation response to particulate exposure triggered by nanomaterials G Gd, A Serra, L Saarimäki, K Kotsis, I Rouse, A Colibaba, K Jagiello, ... | 1 | 2022 |
| A gene regulation model reveals an ancestral adaptation response to particulate exposure triggered by nanomaterials G del Giudice, A Serra, L Saarimäki, K Kotsis, I Rouse, A Colibaba, ... | 1 | 2022 |
| Alignment of protein corona prediction from physics-based models with experimental analysis: showcasing an in vitro-in silico workflow providing FAIR data I Hasenkopf, RD Mills-Goodlet, L Johnson, M Geppert, I Rouse, ... Nano Today, 2022 | 1 | 2022 |
| NPCoronaPredict: A computational pipeline for the prediction of the nanoparticle-biomolecule corona I Rouse, D Power, J Subbotina, V Lobaskin arXiv preprint arXiv:2403.07819, 2024 | | 2024 |
| Multiscale modelling of biomolecular corona formation on metallic surfaces PM Amini, I Rouse, J Subbotina, V Lobaskin Beilstein Journal of Nanotechnology 15 (1), 215-229, 2024 | | 2024 |
