| Big data from electronic health records for early and late translational cardiovascular research: challenges and potential H Hemingway, FW Asselbergs, J Danesh, R Dobson, N Maniadakis, ... European heart journal 39 (16), 1481-1495, 2018 | 210 | 2018 |
| Renin–angiotensin system blockers and susceptibility to COVID-19: an international, open science, cohort analysis DR Morales, MM Conover, SC You, N Pratt, K Kostka, T Duarte-Salles, ... The Lancet Digital Health 3 (2), e98-e114, 2021 | 145 | 2021 |
| Implementation and relevance of FAIR data principles in biopharmaceutical R&D J Wise, AG de Barron, A Splendiani, B Balali-Mood, D Vasant, E Little, ... Drug discovery today 24 (4), 933-938, 2019 | 140 | 2019 |
| Reasons for discontinuing active surveillance: assessment of 21 centres in 12 countries in the Movember GAP3 Consortium M Van Hemelrijck, X Ji, J Helleman, MJ Roobol, W van der Linden, ... European urology 75 (3), 523-531, 2019 | 70 | 2019 |
| The Movember Foundation's GAP3 cohort: a profile of the largest global prostate cancer active surveillance database to date SM Bruinsma, L Zhang, MJ Roobol, CH Bangma, EW Steyerberg, ... BJU international 121 (5), 737-744, 2018 | 64 | 2018 |
| CODE-EHR best-practice framework for the use of structured electronic health-care records in clinical research D Kotecha, FW Asselbergs, S Achenbach, SD Anker, D Atar, C Baigent, ... The Lancet Digital Health 4 (10), e757-e764, 2022 | 60 | 2022 |
| Dietary medium chain fatty acid supplementation leads to reduced VLDL lipolysis and uptake rates in comparison to linoleic acid supplementation DB van Schalkwijk, WJ Pasman, HFJ Hendriks, ER Verheij, CM Rubingh, ... PloS one 9 (7), e100376, 2014 | 38 | 2014 |
| Clustering by plasma lipoprotein profile reveals two distinct subgroups with positive lipid response to fenofibrate therapy K van Bochove, DB van Schalkwijk, LD Parnell, CQ Lai, JM Ordovás, ... PLoS One 7 (6), e38072, 2012 | 35 | 2012 |
| Introducing PIONEER: a project to harness big data in prostate cancer research MI Omar, MJ Roobol, MJ Ribal, T Abbott, PM Agapow, S Araujo, ... Nature Reviews Urology 17 (6), 351-362, 2020 | 34* | 2020 |
| Improved cholesterol phenotype analysis by a model relating lipoprotein life cycle processes to particle size [S] DB van Schalkwijk, AA de Graaf, B van Ommen, K van Bochove, ... Journal of lipid research 50 (12), 2398-2411, 2009 | 31 | 2009 |
| Adherence to active surveillance protocols for low-risk prostate cancer: results of the Movember foundation’s global action plan prostate cancer active surveillance initiative AA Kalapara, JFM Verbeek, D Nieboer, M Fahey, V Gnanapragasam, ... European urology oncology 3 (1), 80-91, 2020 | 23 | 2020 |
| Organic matter reduces the amount of detectable environmental DNA in freshwater K van Bochove, FT Bakker, KK Beentjes, L Hemerik, RA Vos, ... Ecology and Evolution 10 (8), 3647-3654, 2020 | 21 | 2020 |
| The cBioPortal for cancer genomics and its application in precision oncology J Gao, J Lindsay, S Watt, I Bahceci, P Lukasse, A Abeshouse, HW Chen, ... Cancer Research 76 (14_Supplement), 5277-5277, 2016 | 21 | 2016 |
| Predicting biopsy outcomes during active surveillance for prostate cancer: external validation of the canary prostate active surveillance study risk calculators in five large … FJH Drost, D Nieboer, TM Morgan, PR Carroll, MJ Roobol, B Trock, ... European urology 76 (5), 693-702, 2019 | 20 | 2019 |
| Personalised biopsy schedules based on risk of Gleason upgrading for patients with low‐risk prostate cancer on active surveillance A Tomer, D Nieboer, MJ Roobol, A Bjartell, EW Steyerberg, D Rizopoulos, ... BJU international 127 (1), 96-107, 2021 | 14 | 2021 |
| Prostate cancer patients under active surveillance with a suspicious magnetic resonance imaging finding are at increased risk of needing treatment: results of the Movember … J Olivier, W Li, D Nieboer, J Helleman, M Roobol, V Gnanapragasam, ... European Urology Open Science 35, 59-67, 2022 | 13 | 2022 |
| Systematically linking tranSMART, Galaxy and EGA for reusing human translational research data C Zhang, J Bijlard, C Staiger, S Scollen, D van Enckevort, Y Hoogstrate, ... F1000Research 6, 2017 | 10 | 2017 |
| Renin–angiotensin system blockers and susceptibility to COVID-19: an international, open science, cohort analysis. Lancet Digit Health. 2021; 3 (2): e98-114 DR Morales, MM Conover, SC You, N Pratt, K Kostka, T Duarte-Salles | 9 | 2021 |
| TranSMART M Bierkens, W van der Linden, K van Bochove, W Weistra, RJA Fijneman, ... Journal of Clinical Bioinformatics 5 (Suppl 1), S9, 2015 | 9 | 2015 |
| Developing computational model-based diagnostics to analyse clinical chemistry data DB Van Schalkwijk, K Van Bochove, B Van Ommen, AP Freidig, ... Briefings in bioinformatics 11 (4), 403-416, 2010 | 9 | 2010 |
