<table class="infobox infobox-researcher">
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<th class="infobox-header" colspan="2">Kristine Yaffe</th>
</tr>
<tr>
<td class="infobox-image" colspan="2">
<em>Photo placeholder</em>
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<td class="label">Affiliations</td>
<td>University of California San Francisco</td>
</tr>
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<td class="label">Country</td>
<td>USA</td>
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<td class="label">H-index</td>
<td>200</td>
</tr>
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<td class="label">ORCID</td>
<td><a href="https://orcid.org/0000-0001-9785-9923" target="_blank">0000-0001-9785-9923</a></td>
</tr>
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<td class="label">Research Focus</td>
<td>[Alzheimer's Disease](/diseases/alzheimers), Cognitive decline</td>
</tr>
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<td class="label">Mechanisms</td>
<td>Risk factors, Prevention, [Sleep](/mechanisms/sleep-disruption-ad)</td>
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Kristine Yaffe
Overview
Kristine Yaffe is a leading researcher in the field of neurodegenerative diseases, affiliated with University of California San Francisco. Their research focuses on Risk factors, Prevention, Sleep, with particular emphasis on Alzheimer's Disease and Cognitive decline. With an h-index of 200, Yaffe is among the most cited researchers in the neuroscience field[@orcid2026].
...
<table class="infobox infobox-researcher">
<tr>
<th class="infobox-header" colspan="2">Kristine Yaffe</th>
</tr>
<tr>
<td class="infobox-image" colspan="2">
<em>Photo placeholder</em>
</td>
</tr>
<tr>
<td class="label">Affiliations</td>
<td>University of California San Francisco</td>
</tr>
<tr>
<td class="label">Country</td>
<td>USA</td>
</tr>
<tr>
<td class="label">H-index</td>
<td>200</td>
</tr>
<tr>
<td class="label">ORCID</td>
<td><a href="https://orcid.org/0000-0001-9785-9923" target="_blank">0000-0001-9785-9923</a></td>
</tr>
<tr>
<td class="label">Research Focus</td>
<td>[Alzheimer's Disease](/diseases/alzheimers), Cognitive decline</td>
</tr>
<tr>
<td class="label">Mechanisms</td>
<td>Risk factors, Prevention, [Sleep](/mechanisms/sleep-disruption-ad)</td>
</tr>
</table>
Kristine Yaffe
Overview
Kristine Yaffe is a leading researcher in the field of neurodegenerative diseases, affiliated with University of California San Francisco. Their research focuses on Risk factors, Prevention, Sleep, with particular emphasis on Alzheimer's Disease and Cognitive decline. With an h-index of 200, Yaffe is among the most cited researchers in the neuroscience field[@orcid2026].
Yaffe's work spans multiple aspects of neurodegeneration, contributing to our understanding of the molecular mechanisms that underlie diseases such as Alzheimer's Disease and Cognitive decline. Their research group has made significant contributions to the fields of Risk factors, Prevention, Sleep, publishing in high-impact journals including leading neuroscience journals.
Based at University of California San Francisco, Yaffe 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)
- Cognitive decline
Mechanisms of Interest
- Risk factors
- Prevention
- Sleep
Programmatic Emphasis
Yaffe's portfolio emphasizes mechanism-aware biomarker interpretation and translational hypothesis testing in Alzheimer's Disease and Cognitive decline[@long2019]. Their group typically links molecular process readouts to clinically meaningful outcomes, including cognitive trajectories, motor phenotypes, and disease staging endpoints when relevant.
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 Risk factors, Prevention, Sleep 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 Kristine Yaffe](https://pubmed.ncbi.nlm.nih.gov/?term=Kristine+Yaffe%5BAuthor%5D)[@orcid2026]
[Google Scholar author search for Kristine Yaffe](https://scholar.google.com/scholar?q=author%3A%22Kristine+Yaffe%22)[@orcid2026]
[Semantic Scholar profile search for Kristine Yaffe](https://www.semanticscholar.org/search?q=Kristine+Yaffe)[@orcid2026]
Collaborators and Research Network
David M. Holtzman, Reisa A. Sperling
Institutional Context
Primary institutional links: University of California San Francisco. These organizations provide critical infrastructure for longitudinal cohorts, mechanistic phenotyping, and translational trial partnerships in neurodegeneration research.
Open Questions and Future Directions
- How can Risk factors, Prevention, Sleep 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 and Cognitive decline into clinically meaningful interventions?
External Links
- ORCID: [https://orcid.org/0000-0001-9785-9923](https://orcid.org/0000-0001-9785-9923)
- Google Scholar: [Search for Kristine Yaffe](https://scholar.google.com/scholar?q=author%3A%22Kristine+Yaffe%22)
- PubMed: [Author search for Kristine Yaffe](https://pubmed.ncbi.nlm.nih.gov/?term=Kristine+Yaffe%5BAuthor%5D)
See Also
- [Researchers and Institutions Index](/researchers)
- [Diseases Index](/diseases)
- [Mechanisms Index](/mechanisms)
Recent Research (2024-2026)
[Vision and eye conditions linked to neurodegenerative disease diagnoses](https://pubmed.ncbi.nlm.nih.gov/39078629/) (JAMA Netw Open 2024)
[Personalized risk-reduction strategies and their effect on cognition and dementia risk in older adults: the SMARRT randomized trial](https://pubmed.ncbi.nlm.nih.gov/38010725/) (JAMA Intern Med 2024)
[Brain aging patterns in a large, diverse cohort of nearly 50,000 individuals](https://pubmed.ncbi.nlm.nih.gov/39147830/) (Nat Med 2024)
[Cardiovascular-kidney-metabolic syndrome and incident dementia in older adults](https://pubmed.ncbi.nlm.nih.gov/40044514/) (J Prev Alzheimers Dis 2025)
[Leveraging brain pathology for dementia prevention](https://pubmed.ncbi.nlm.nih.gov/38315478/) (JAMA Neurol 2024)
[Computational whole-body exposome models for global precision brain health](https://pubmed.ncbi.nlm.nih.gov/41372244/) (Nat Commun 2025)
[MRI brain-age heterogeneity, cognition, genetics, and Alzheimer's disease neuropathology](https://pubmed.ncbi.nlm.nih.gov/39437659/) (EBioMedicine 2024)
[Sleep macro-architecture, nocturnal hypoxemia, and Alzheimer's disease-related MRI patterns in diverse older adults](https://pubmed.ncbi.nlm.nih.gov/40390243/) (Alzheimers Dement 2025)References
Unknown, ORCID profile for Kristine Yaffe (2026)
[Unknown, Long and Holtzman, Alzheimer disease an update on pathobiology and treatment strategies 2019 (2019)](https://pubmed.ncbi.nlm.nih.gov/30617256/)