Author

Florian Udo Fischer

University Medical Center of the Johannes Gutenberg University MainzORCID 0000-0002-6901-4596Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 2 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:statistical model· 3 Assay:imaging· 2 Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Oliver TuescheriD· 3 shared Andreas FellgiebeliD· 2 shared Alexander E. DrzezgaiD· 1 shared Andreas MierauiD· 1 shared Ann-Sophie Pabst· 1 shared Bernhard BaieriD· 1 shared Dominik Georg Friedrich WolfiD· 1 shared Harald BinderiD· 1 shared

Activity by Year

2021-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 38 mutual co-author links

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3 shared papersNeuroscience

Oliver TuescherORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

TACR3 variant confers resilience to aging and Alzheimer's disease

Nicolas Ruffini, Florian Udo Fischer, Robert Subirana Slotos, Julia Goschke, Leon Scholz, Kristel Knaepen, Stefan Hüttelmaier, Helen Morrison, Theresa Steffan, Ann-Sophie Pabst, Jennifer Winter, Bernhard Baier, Andreas Mierau, Harald Binder, Alexander E. Drzezga, , the Frontotemporal Lobar Degeneration Neuroimaging Initiative

This study identifies the TACR3 variant rs2765 as protective against age- and Alzheimer's-related cognitive decline, showing slower cognitive decline and younger epigenetic age in carriers.

medRxiv · Jun 8, 2026 · PreprintGenetic & Genomic Medicine

A mathematical model of the Alzheimer's Disease biomarker cascade demonstrates statistical pitfalls in identifying neurobiological surrogates of cognitive reserve

Florian Udo Fischer, Susanne Gerber, Oliver Tüscher, the Alzheimer’s Disease Neuroimaging Initiative

The paper demonstrates that ignoring sampling time points in statistical analyses can lead to misinterpretation of interaction effects between biomarkers and cognitive reserve in Alzheimer's Disease.

bioRxiv · Oct 26, 2023 · PreprintNeuroscience

Network efficiency predicts resilience to cognitive decline in elderly at risk for Alzheimer's

Florian Udo Fischer, Dominik Georg Friedrich Wolf, Oliver Tüscher, Andreas Fellgiebel, on behalf of Alzheimer’s Disease Neuroimaging Initiative

This study finds that higher white matter network efficiency is associated with greater resilience to cognitive decline in elderly individuals, independent of amyloid and tau pathology.

Frontiers in Aging Neuroscience · Feb 22, 2021Peer-reviewedNeuroscience