<table class="infobox infobox-researcher">
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<th class="infobox-header" colspan="2">Stefan J. Teipel</th>
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<tr>
<td class="infobox-image" colspan="2">
<em>Photo placeholder</em>
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<td class="label">Affiliations</td>
<td>University of Rostock<br>German Center for Neurodegenerative Diseases</td>
</tr>
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<td class="label">Country</td>
<td>Germany</td>
</tr>
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<td class="label">H-index</td>
<td>100</td>
</tr>
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<td class="label">ORCID</td>
<td><a href="https://orcid.org/0000-0002-3296-4379" target="_blank">0000-0002-3296-4379</a></td>
</tr>
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<td class="label">Research Focus</td>
<td>[Alzheimer's Disease](/diseases/alzheimers)</td>
</tr>
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<td class="label">Mechanisms</td>
<td>Neuroimaging, [Biomarkers](/mechanisms/biomarkers-ad)</td>
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Stefan J. Teipel
Overview
Stefan J. Teipel is a leading researcher in the field of neurodegenerative diseases, affiliated with University of Rostock and German Center for Neurodegenerative Diseases. Their research focuses on Neuroimaging, Biomarkers, with particular emphasis on Alzheimer's Disease. With an h-index of 100, Teipel is among the most cited researchers in the neuroscience field[@orcid2026].
...<table class="infobox infobox-researcher">
<tr>
<th class="infobox-header" colspan="2">Stefan J. Teipel</th>
</tr>
<tr>
<td class="infobox-image" colspan="2">
<em>Photo placeholder</em>
</td>
</tr>
<tr>
<td class="label">Affiliations</td>
<td>University of Rostock<br>German Center for Neurodegenerative Diseases</td>
</tr>
<tr>
<td class="label">Country</td>
<td>Germany</td>
</tr>
<tr>
<td class="label">H-index</td>
<td>100</td>
</tr>
<tr>
<td class="label">ORCID</td>
<td><a href="https://orcid.org/0000-0002-3296-4379" target="_blank">0000-0002-3296-4379</a></td>
</tr>
<tr>
<td class="label">Research Focus</td>
<td>[Alzheimer's Disease](/diseases/alzheimers)</td>
</tr>
<tr>
<td class="label">Mechanisms</td>
<td>Neuroimaging, [Biomarkers](/mechanisms/biomarkers-ad)</td>
</tr>
</table>
Stefan J. Teipel
Overview
Stefan J. Teipel is a leading researcher in the field of neurodegenerative diseases, affiliated with University of Rostock and German Center for Neurodegenerative Diseases. Their research focuses on Neuroimaging, Biomarkers, with particular emphasis on Alzheimer's Disease. With an h-index of 100, Teipel is among the most cited researchers in the neuroscience field[@orcid2026].
Teipel's work spans multiple aspects of neurodegeneration, contributing to our understanding of the molecular mechanisms that underlie diseases such as Alzheimer's Disease. Their research group has made significant contributions to the fields of Neuroimaging, Biomarkers, publishing in high-impact journals including leading neuroscience journals.
Based at University of Rostock and German Center for Neurodegenerative Diseases, Teipel collaborates with researchers across multiple institutions worldwide, working to advance therapeutic strategies for neurodegenerative conditions.
Research Focus
Disease Areas
- [Alzheimer's Disease](/diseases/alzheimers-disease)
Mechanisms of Interest
- Neuroimaging
- [Biomarkers](/biomarkers)
Programmatic Emphasis
Teipel's portfolio emphasizes mechanism-aware biomarker interpretation and translational hypothesis testing in Alzheimer's Disease[@long2019]. Their group typically links molecular process readouts to clinically meaningful outcomes, including cognitive trajectories, motor phenotypes, and disease staging endpoints when relevant[@jack2018].
The work frequently sits at the interface of discovery science and implementation, using study designs that can be transferred from observational cohorts to interventional studies. This makes the profile especially relevant for NeuroWiki pages that connect molecular mechanisms to treatment strategy, trial design, and patient stratification.
Methods and Data Strategy
Within the Neuroimaging, Biomarkers domain, this research profile is most aligned with multimodal integration: combining imaging, biofluid, genomic, and clinical metadata to derive robust disease signatures. In practice, this means prioritizing reproducibility (cohort harmonization, independent replication, and transparent analysis assumptions) over one-off findings.
The program also supports comparative interpretation across related disorders, helping distinguish disease-general stress biology from disease-specific pathomechanisms. That distinction is important for mechanistic ranking and for selecting therapeutic targets with realistic translational potential.
Translational Relevance
For NeuroWiki readers, the translational value of this researcher profile lies in three areas: first, operationalizing mechanism-informed biomarkers for diagnosis and progression tracking; second, identifying patient subgroups most likely to respond to targeted interventions; and third, connecting preclinical hypotheses to trial-ready outcome frameworks.
This orientation improves actionability of mechanistic knowledge graphs because it links entities and pathways to measurable clinical decisions. Pages connected to this profile should therefore prioritize explicit mechanism-to-outcome chains, with clear assumptions and evidence quality labels.
Key Publications
[PubMed author search for Stefan J. Teipel](https://pubmed.ncbi.nlm.nih.gov/?term=Stefan+J.+Teipel%5BAuthor%5D)[@orcid2026]
[Google Scholar author search for Stefan J. Teipel](https://scholar.google.com/scholar?q=author%3A%22Stefan+J.+Teipel%22)[@orcid2026]
[Semantic Scholar profile search for Stefan J. Teipel](https://www.semanticscholar.org/search?q=Stefan+J.+Teipel)[@orcid2026]
Recent Research
Recent PubMed-indexed publications (2022-present):
[Protocol of a dyadic, app-supported collaborative care intervention trial for informal caregivers of people living with dementia-the multi-center living@home study.](https://pubmed.ncbi.nlm.nih.gov/41851807/). Trials. 2026.
[Microglia protein profiles in CSF across Alzheimer's disease clinical stages.](https://pubmed.ncbi.nlm.nih.gov/41814022/). Nature aging. 2026.
[Pedunculopontine-thalamic cholinergic projections in rapid eye movement sleep behaviour disorder.](https://pubmed.ncbi.nlm.nih.gov/41792162/). NPJ Parkinson's disease. 2026.
[Associations of anticholinergic burden of medication with cognitive decline and longitudinal brain atrophy in the Alzheimer's disease spectrum.](https://pubmed.ncbi.nlm.nih.gov/41853467/). Frontiers in aging neuroscience. 2026.
[Recommendations for reporting findings from analyses using artificial intelligence and machine learning in the Journal of Alzheimer's Disease.](https://pubmed.ncbi.nlm.nih.gov/41527775/). Journal of Alzheimer's disease : JAD. 2026.
Collaborators and Research Network
[Mathias Jucker](/researchers/mathias-jucker)
Institutional Context
Primary institutional links: [University of Rostock](/institutions/university-of-rostock), [German Center for Neurodegenerative Diseases](/german-center-for-neurodegenerative-diseases). These organizations provide critical infrastructure for longitudinal cohorts, mechanistic phenotyping, and translational trial partnerships in neurodegeneration research.
Open Questions and Future Directions
- How can Neuroimaging, Biomarkers signals be standardized across cohorts and sites without losing disease-stage sensitivity?
- Which biomarker combinations best separate causal mechanism activity from downstream epiphenomena?
- What trial designs can most efficiently translate mechanistic findings in Alzheimer's Disease into clinically meaningful interventions?
External Links
- ORCID: [https://orcid.org/0000-0002-3296-4379](https://orcid.org/0000-0002-3296-4379)
- Google Scholar: [Search for Stefan J. Teipel](https://scholar.google.com/scholar?q=author%3A%22Stefan+J.+Teipel%22)
- PubMed: [Author search for Stefan J. Teipel](https://pubmed.ncbi.nlm.nih.gov/?term=Stefan+J.+Teipel%5BAuthor%5D)
See Also
- [Researchers and Institutions Index](/researchers)
- [Diseases Index](/diseases)
- [Mechanisms Index](/mechanisms)
References
Unknown, ORCID profile for Stefan J. Teipel (2026)
[Unknown, Long and Holtzman, Alzheimer disease an update on pathobiology and treatment strategies 2019 (2019)](https://pubmed.ncbi.nlm.nih.gov/30617256/)
[Jack et al, NIA AA research framework toward a biological definition of Alzheimer disease 2018 (2018)](https://pubmed.ncbi.nlm.nih.gov/29653606/)