Author
Mika Kivimaki B
University College LondonORCID 0000-0002-4699-5627Unclaimed ORCID profile · follow to get notified of new preprints
Biology Disciplines
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2019-2023 · peak 3/yrCo-Author Collaboration Network
10 top collaborators · 21 mutual co-author links7 papers
Recent·Most cited
- GeneticsNature CommunicationsPeer-reviewed
Validation of lipid-related therapeutic targets for coronary heart disease prevention using human genetics
María Gordillo‐Marañón, Magdalena Zwierzyna, Pimphen Charoen…·Chris Finan
The paper uses Mendelian randomization and clinical/biological evidence to prioritize lipid-modifying drug targets for coronary heart disease prevention.
31 citations - NeuroscienceNeuroImagePeer-reviewed
Integrating large-scale neuroimaging research datasets: harmonisation of white matter hyperintensity measurements across Whitehall and UK Biobank datasets
Valentina Bordin, Ilaria Bertani, Irene Mattioli…·Ludovica Griffanti
This paper harmonises white matter hyperintensity measurements across two neuroimaging datasets by standardising preprocessing and modelling demographic and physiological differences.
- NeurosciencebioRxivPreprint
Individual variation in brain structural-cognition relationships in aging
Raihaan Patel, Clare E. Mackay, Michelle G. Jansen…·Sana Suri
This paper identifies two latent brain structure-cognition associations in aging using longitudinal data from the Whitehall II Study, showing how structural variations predict cognitive decline and maintenance.
3 citations - NeuroscienceNeuroImagePeer-reviewed
Multimodal brain-age prediction and cardiovascular risk: The Whitehall II MRI sub-study
Ann‐Marie G. de Lange, Melis Anatürk, Sana Suri…·Klaus P. Ebmeier
The paper predicts brain age using multimodal MRI data from the Whitehall II cohort and links brain aging to cardiovascular risk factors.
127 citationstop 1% - NeuroscienceEuropean Journal of EpidemiologyPeer-reviewed
The Dementias Platform UK (DPUK) Data Portal
Sarah Bauermeister, Chris Orton, Simon Thompson…·John Gallacher
The DPUK Data Portal provides secure access to cohort data for dementia research, supporting multi-modal analyses and collaborations across multiple institutions.
65 citationstop 2% - GeneticsBMC Cardiovascular DisordersPeer-reviewed
Phenome-wide association analysis of LDL-cholesterol lowering genetic variants in PCSK9
Amand Floriaan Schmidt, Michael Vaclav Holmes, David Preiss…·Albert Hofman D
The paper analyzes genetic variants at the PCSK9 locus to assess their phenotypic effects on lipid levels and disease outcomes, finding concordance with PCSK9 inhibitor trials for myocardial infarction but discordance for type 2 diabetes.
43 citationstop 3%