| Prevalence of cerebral amyloid pathology in persons without dementia: a meta-analysis WJ Jansen, R Ossenkoppele, DL Knol, BM Tijms, P Scheltens, ... Jama 313 (19), 1924-1938, 2015 | 1866 | 2015 |
| Diagnostic value of cerebrospinal fluid neurofilament light protein in neurology: a systematic review and meta-analysis C Bridel, WN Van Wieringen, H Zetterberg, BM Tijms, CE Teunissen, ... JAMA neurology 76 (9), 1035-1048, 2019 | 804 | 2019 |
| Alzheimer's disease: connecting findings from graph theoretical studies of brain networks BM Tijms, AM Wink, W De Haan, WM van der Flier, CJ Stam, P Scheltens, ... Neurobiology of aging 34 (8), 2023-2036, 2013 | 498 | 2013 |
| Cortical atrophy patterns in multiple sclerosis are non-random and clinically relevant MD Steenwijk, JJG Geurts, M Daams, BM Tijms, AM Wink, LJ Balk, ... Brain 139 (1), 115-126, 2016 | 359 | 2016 |
| Similarity-based extraction of individual networks from gray matter MRI scans BM Tijms, P Seriès, DJ Willshaw, SM Lawrie Cerebral cortex 22 (7), 1530-1541, 2012 | 329 | 2012 |
| Prevalence estimates of amyloid abnormality across the Alzheimer disease clinical spectrum WJ Jansen, O Janssen, BM Tijms, SJB Vos, R Ossenkoppele, PJ Visser, ... JAMA neurology 79 (3), 228-243, 2022 | 259 | 2022 |
| Differential diagnosis of neurodegenerative diseases using structural MRI data J Koikkalainen, H Rhodius-Meester, A Tolonen, F Barkhof, B Tijms, ... NeuroImage: Clinical 11, 435-449, 2016 | 231 | 2016 |
| NETMORPH: a framework for the stochastic generation of large scale neuronal networks with realistic neuron morphologies RA Koene, B Tijms, P Van Hees, F Postma, A De Ridder, GJA Ramakers, ... Neuroinformatics 7 (3), 195-210, 2009 | 231 | 2009 |
| Exome sequencing identifies rare damaging variants in ATP8B4 and ABCA1 as risk factors for Alzheimer’s disease H Holstege, M Hulsman, C Charbonnier, B Grenier-Boley, O Quenez, ... Nature genetics 54 (12), 1786-1794, 2022 | 215 | 2022 |
| Unbiased approach to counteract upward drift in cerebrospinal fluid amyloid-β 1–42 analysis results BM Tijms, EAJ Willemse, MD Zwan, SD Mulder, PJ Visser, ... Clinical chemistry 64 (3), 576-585, 2018 | 189 | 2018 |
| Association of cerebral amyloid-β aggregation with cognitive functioning in persons without dementia WJ Jansen, R Ossenkoppele, BM Tijms, AM Fagan, O Hansson, ... JAMA psychiatry 75 (1), 84-95, 2018 | 188 | 2018 |
| Different functional connectivity and network topology in behavioral variant of frontotemporal dementia and Alzheimer's disease: an EEG study M Yu, AA Gouw, A Hillebrand, BM Tijms, CJ Stam, ECW van Straaten, ... Neurobiology of aging 42, 150-162, 2016 | 181 | 2016 |
| Pathophysiological subtypes of Alzheimer’s disease based on cerebrospinal fluid proteomics BM Tijms, J Gobom, L Reus, I Jansen, S Hong, V Dobricic, F Kilpert, ... Brain 143 (12), 3776-3792, 2020 | 179 | 2020 |
| Cerebrospinal fluid proteomics in patients with Alzheimer’s disease reveals five molecular subtypes with distinct genetic risk profiles BM Tijms, EM Vromen, O Mjaavatten, H Holstege, LM Reus, ... Nature aging 4 (1), 33-47, 2024 | 174 | 2024 |
| Atrophy subtypes in prodromal Alzheimer’s disease are associated with cognitive decline M Ten Kate, E Dicks, PJ Visser, WM van der Flier, CE Teunissen, ... Brain 141 (12), 3443-3456, 2018 | 167 | 2018 |
| EEG spectral analysis as a putative early prognostic biomarker in nondemented, amyloid positive subjects AA Gouw, AM Alsema, BM Tijms, A Borta, P Scheltens, CJ Stam, ... Neurobiology of aging 57, 133-142, 2017 | 158 | 2017 |
| Single-subject grey matter graphs in Alzheimer's disease BM Tijms, C Möller, H Vrenken, AM Wink, W de Haan, WM van der Flier, ... PloS one 8 (3), e58921, 2013 | 149 | 2013 |
| Genome-wide meta-analysis for Alzheimer’s disease cerebrospinal fluid biomarkers IE Jansen, SJ van der Lee, D Gomez-Fonseca, I De Rojas, MC Dalmasso, ... Acta neuropathologica 144 (5), 821-842, 2022 | 116 | 2022 |
| Mind the gap: from neurons to networks to outcomes in multiple sclerosis DT Chard, AAS Alahmadi, B Audoin, T Charalambous, C Enzinger, ... Nature Reviews Neurology 17 (3), 173-184, 2021 | 112 | 2021 |
| Alzheimer disease and behavioral variant frontotemporal dementia: automatic classification based on cortical atrophy for single-subject diagnosis C Möller, YAL Pijnenburg, WM van der Flier, A Versteeg, B Tijms, ... Radiology 279 (3), 838-848, 2016 | 112 | 2016 |
Philip ScheltensProfessor of NeurologyVerified email at amsterdamumc.nl
