| Atlas of plasma NMR biomarkers for health and disease in 118,461 individuals from the UK Biobank H Julkunen, A Cichońska, M Tiainen, H Koskela, K Nybo, V Mäkelä, ... Nature communications 14 (1), 604, 2023 | 231 | 2023 |
| Metabolic biomarker profiling for identification of susceptibility to severe pneumonia and COVID-19 in the general population H Julkunen, A Cichońska, PE Slagboom, P Würtz, ... elife 10, e63033, 2021 | 157 | 2021 |
| metaCCA: summary statistics-based multivariate meta-analysis of genome-wide association studies using canonical correlation analysis A Cichonska, J Rousu, P Marttinen, AJ Kangas, P Soininen, T Lehtimäki, ... Bioinformatics 32 (13), 1981-1989, 2016 | 144 | 2016 |
| Computational-experimental approach to drug-target interaction mapping: a case study on kinase inhibitors A Cichonska, B Ravikumar, E Parri, S Timonen, T Pahikkala, A Airola, ... PLoS computational biology 13 (8), e1005678, 2017 | 126 | 2017 |
| Leveraging multi-way interactions for systematic prediction of pre-clinical drug combination effects H Julkunen, A Cichonska, P Gautam, S Szedmak, J Douat, T Pahikkala, ... Nature communications 11 (1), 6136, 2020 | 100 | 2020 |
| Learning with multiple pairwise kernels for drug bioactivity prediction A Cichonska, T Pahikkala, S Szedmak, H Julkunen, A Airola, M Heinonen, ... Bioinformatics 34 (13), i509-i518, 2018 | 82 | 2018 |
| Crowdsourced mapping of unexplored target space of kinase inhibitors A Cichońska, B Ravikumar, RJ Allaway, F Wan, S Park, O Isayev, S Li, ... Nature communications 12 (1), 3307, 2021 | 75 | 2021 |
| Profiling persistent tubercule bacilli from patient sputa during therapy predicts early drug efficacy I Honeyborne, TD McHugh, I Kuittinen, A Cichonska, D Evangelopoulos, ... BMC medicine 14, 1-13, 2016 | 63 | 2016 |
| Identification of drug candidates and repurposing opportunities through compound–target interaction networks A Cichonska, J Rousu, T Aittokallio Expert opinion on drug discovery 10 (12), 1333-1345, 2015 | 62 | 2015 |
| Integrative analysis of metabolite GWAS illuminates the molecular basis of pleiotropy and genetic correlation CJ Smith, N Sinnott-Armstrong, A Cichońska, H Julkunen, EB Fauman, ... elife 11, e79348, 2022 | 40 | 2022 |
| Effects of general and central adiposity on circulating lipoprotein, lipid, and metabolite levels in UK Biobank: a multivariable Mendelian randomization study JA Bell, TG Richardson, Q Wang, E Sanderson, T Palmer, V Walker, ... The Lancet Regional Health–Europe 21, 2022 | 35 | 2022 |
| Nightingale Health UK Biobank Initiative Metabolic biomarker profiling for identification of susceptibility to severe pneumonia and COVID-19 in the general population H Julkunen, A Cichońska, PE Slagboom, P Würtz Elife 10, e63033, 2021 | 25 | 2021 |
| An expanded analysis framework for multivariate GWAS connects inflammatory biomarkers to functional variants and disease SE Ruotsalainen, JJ Partanen, A Cichonska, J Lin, C Benner, I Surakka, ... European Journal of Human Genetics 29 (2), 309-324, 2021 | 23 | 2021 |
| Modeling drug combination effects via latent tensor reconstruction T Wang, S Szedmak, H Wang, T Aittokallio, T Pahikkala, A Cichonska, ... Bioinformatics 37 (Supplement_1), i93-i101, 2021 | 22 | 2021 |
| AI for targeted polypharmacology: The next frontier in drug discovery A Cichońska, B Ravikumar, R Rahman Current Opinion in Structural Biology 84, 102771, 2024 | 21 | 2024 |
| Circulating metabolic biomarkers are consistently associated with type 2 diabetes risk in Asian and European populations JYH Seah, Y Hong, A Cichońska, C Sabanayagam, S Nusinovici, ... The Journal of Clinical Endocrinology & Metabolism 107 (7), e2751-e2761, 2022 | 21 | 2022 |
| Investigating the conformational landscape of AlphaFold2-predicted protein kinase structures C Al-Masri, F Trozzi, SH Lin, O Tran, N Sahni, M Patek, A Cichonska, ... Bioinformatics Advances 3 (1), vbad129, 2023 | 14 | 2023 |
| Blood biomarker score identifies individuals at high risk for severe COVID-19 a decade prior to diagnosis: metabolic profiling of 105,000 adults in the UK Biobank Nightingale Health UK Biobank Initiative, H Julkunen, A Cichońska, ... MedRxiv, 2020.07. 02.20143685, 2020 | 11 | 2020 |
| A solution for large scale nonlinear regression with high rank and degree at constant memory complexity via latent tensor reconstruction S Szedmak, A Cichonska, H Julkunen, T Pahikkala, J Rousu arXiv preprint arXiv:2005.01538, 2020 | 8 | 2020 |
| Atlas of plasma NMR biomarkers for health and disease in 118,461 individuals from the UK Biobank. Nat. Commun. 14, 604 H Julkunen, A Cichonska, M Tiainen, H Koskela, K Nybo, V Mäkelä, ... | 7 | 2023 |
Juho RousuProfessor, Department of Computer Science, Aalto UniversityPatvirtintas el. paštas aalto.fi
