| Evidence for benefit of statins to modify cognitive decline and risk in Alzheimer’s disease N Geifman, RD Brinton, RE Kennedy, LS Schneider, AJ Butte Alzheimer's research & therapy 9, 1-10, 2017 | 185 | 2017 |
| Integrated multi-omics analyses in oncology: a review of machine learning methods and tools G Nicora, F Vitali, A Dagliati, N Geifman, R Bellazzi Frontiers in oncology 10, 1030, 2020 | 177 | 2020 |
| Redefining meaningful age groups in the context of disease N Geifman, R Cohen, E Rubin Age 35, 2357-2366, 2013 | 96 | 2013 |
| Proteomics and informatics for understanding phases and identifying biomarkers in COVID-19 disease AD Whetton, GW Preston, S Abubeker, N Geifman Journal of proteome research 19 (11), 4219-4232, 2020 | 79 | 2020 |
| Statin therapy and risk of Alzheimer's and age‐related neurodegenerative diseases G Torrandell‐Haro, GL Branigan, F Vitali, N Geifman, JM Zissimopoulos, ... Alzheimer's & dementia: translational research & clinical interventions 6 (1 …, 2020 | 57 | 2020 |
| Multimorbidity states associated with higher mortality rates in organ dysfunction and sepsis: a data-driven analysis in critical care Z Zador, A Landry, MD Cusimano, N Geifman Critical Care 23, 1-11, 2019 | 54 | 2019 |
| Opening clinical trial data: are the voluntary data-sharing portals enough? N Geifman, J Bollyky, S Bhattacharya, AJ Butte BMC medicine 13, 1-3, 2015 | 51 | 2015 |
| Data-driven identification of endophenotypes of Alzheimer’s disease progression: implications for clinical trials and therapeutic interventions N Geifman, RE Kennedy, LS Schneider, I Buchan, RD Brinton Alzheimer's research & therapy 10, 1-7, 2018 | 40 | 2018 |
| Longitudinal trajectories of severe wheeze exacerbations from infancy to school age and their association with early‐life risk factors and late asthma outcomes M Deliu, S Fontanella, S Haider, M Sperrin, N Geifman, C Murray, ... Clinical & Experimental Allergy 50 (3), 315-324, 2020 | 37 | 2020 |
| The mouse age phenome knowledgebase and disease-specific inter-species age mapping N Geifman, E Rubin PLoS One 8 (12), e81114, 2013 | 35 | 2013 |
| The use of missing values in proteomic data-independent acquisition mass spectrometry to enable disease activity discrimination KA McGurk, A Dagliati, D Chiasserini, D Lee, D Plant, I Baricevic-Jones, ... Bioinformatics 36 (7), 2217-2223, 2020 | 30 | 2020 |
| The Neural/Immune Gene Ontology: clipping the Gene Ontology for neurological and immunological systems N Geifman, A Monsonego, E Rubin BMC bioinformatics 11, 1-14, 2010 | 26 | 2010 |
| Patient-reported wellbeing and clinical disease measures over time captured by multivariate trajectories of disease activity in individuals with juvenile idiopathic arthritis … SJW Shoop-Worrall, KL Hyrich, LR Wedderburn, W Thomson, N Geifman, ... The Lancet Rheumatology 3 (2), e111-e121, 2021 | 25 | 2021 |
| Pride and prejudice–What can we learn from peer review? H Le Sueur, A Dagliati, I Buchan, AD Whetton, GP Martin, T Dornan, ... Medical Teacher 42 (9), 1012-1018, 2020 | 25 | 2020 |
| Mining post-surgical care processes in breast cancer patients L Chiudinelli, A Dagliati, V Tibollo, S Albasini, N Geifman, N Peek, ... Artificial intelligence in medicine 105, 101855, 2020 | 24 | 2020 |
| Using topological data analysis and pseudo time series to infer temporal phenotypes from electronic health records A Dagliati, N Geifman, N Peek, JH Holmes, L Sacchi, R Bellazzi, ... Artificial intelligence in medicine 108, 101930, 2020 | 23 | 2020 |
| Do cancer clinical trial populations truly represent cancer patients? A comparison of open clinical trials to the cancer genome atlas N Geifman, AJ Butte Biocomputing 2016: Proceedings of the Pacific Symposium, 309-320, 2016 | 22 | 2016 |
| Towards an age-phenome knowledge-base N Geifman, E Rubin BMC bioinformatics 12, 1-9, 2011 | 21 | 2011 |
| CHILD: a new tool for detecting low-abundance insertions and deletions in standard sequence traces I Zhidkov, R Cohen, N Geifman, D Mishmar, E Rubin Nucleic Acids Research 39 (7), e47-e47, 2011 | 20 | 2011 |
| The challenges in data integration–heterogeneity and complexity in clinical trials and patient registries of Systemic Lupus Erythematosus H Le Sueur, IN Bruce, N Geifman, Masterplans Consortium BMC medical research methodology 20, 1-5, 2020 | 19 | 2020 |
