<table class="infobox infobox-researcher">
<tr>
<th class="infobox-header" colspan="2">Yongjun Liu</th>
</tr>
<tr>
<td class="infobox-image" colspan="2">
<em>Photo placeholder</em>
</td>
</tr>
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<td class="label">Affiliations</td>
<td>Chinese Academy of Sciences</td>
</tr>
<tr>
<td class="label">Country</td>
<td>China</td>
</tr>
<tr>
<td class="label">H-index</td>
<td>60</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</td>
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Yongjun Liu
Overview
Yongjun Liu is a leading researcher in the field of neurodegenerative diseases, affiliated with Chinese Academy of Sciences. Their research focuses on Neuroimaging, with particular emphasis on Alzheimer's Disease. With an h-index of 60, Liu is among the most cited researchers in the neuroscience field[@google2026].
Liu'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, publishing in high-impact journals including leading neuroscience journals.
Based at Chinese Academy of Sciences, Liu collaborates with researchers across multiple institutions worldwide, working to advance therapeutic strategies for neurodegenerative conditions.
Research Focus
...<table class="infobox infobox-researcher">
<tr>
<th class="infobox-header" colspan="2">Yongjun Liu</th>
</tr>
<tr>
<td class="infobox-image" colspan="2">
<em>Photo placeholder</em>
</td>
</tr>
<tr>
<td class="label">Affiliations</td>
<td>Chinese Academy of Sciences</td>
</tr>
<tr>
<td class="label">Country</td>
<td>China</td>
</tr>
<tr>
<td class="label">H-index</td>
<td>60</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</td>
</tr>
</table>
Yongjun Liu
Overview
Yongjun Liu is a leading researcher in the field of neurodegenerative diseases, affiliated with Chinese Academy of Sciences. Their research focuses on Neuroimaging, with particular emphasis on Alzheimer's Disease. With an h-index of 60, Liu is among the most cited researchers in the neuroscience field[@google2026].
Liu'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, publishing in high-impact journals including leading neuroscience journals.
Based at Chinese Academy of Sciences, Liu 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
Programmatic Emphasis
Liu'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 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 Yongjun Liu](https://pubmed.ncbi.nlm.nih.gov/?term=Yongjun+Liu%5BAuthor%5D)[@google2026]
[Google Scholar author search for Yongjun Liu](https://scholar.google.com/scholar?q=author%3A%22Yongjun+Liu%22)[@google2026]
[Semantic Scholar profile search for Yongjun Liu](https://www.semanticscholar.org/search?q=Yongjun+Liu)[@google2026]
Collaborators and Research Network
Collaborator network pending enrichment.
Institutional Context
Primary institutional links: [Chinese Academy of Sciences](/institutions/chinese-academy-of-sciences). 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 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
- Google Scholar: [Search for Yongjun Liu](https://scholar.google.com/scholar?q=author%3A%22Yongjun+Liu%22)
- PubMed: [Author search for Yongjun Liu](https://pubmed.ncbi.nlm.nih.gov/?term=Yongjun+Liu%5BAuthor%5D)
See Also
- [Researchers and Institutions Index](/researchers)
- [Diseases Index](/diseases)
- [Mechanisms Index](/mechanisms)
Recent Research
Recent PubMed-indexed publications (2024-present):
[Simulated microgravity induces cerebral dysfunction by disturbing protective microbiota-metabolite-microglia signaling across the gut‒brain axis](https://pubmed.ncbi.nlm.nih.gov/41729099/). Gut microbes. 2026.
[Probiotic extracellular vesicles reprogram macrophage immunometabolism: From gut crosstalk to host health](https://pubmed.ncbi.nlm.nih.gov/41521420/). Gut microbes. 2026.
[Solution-focused group counseling enhances attention control in Internet addiction: Behavioral and neural evidence](https://pubmed.ncbi.nlm.nih.gov/41838422/). Dialogues in clinical neuroscience. 2026.
[Multi-branch Domain Adversarial Neural Network with dynamic weight allocation for multi-source EEG classification](https://pubmed.ncbi.nlm.nih.gov/41767407/). Cognitive neurodynamics. 2026.
[Complex temporal network analysis based on the difference visibility graph for epilepsy with and without electrical status epilepticus during sleep (ESES) patients](https://pubmed.ncbi.nlm.nih.gov/41725782/). Health information science and systems. 2026.Research Contributions
Mermaid diagram (expand to render)
References
Unknown, Google Scholar author search for Yongjun Liu (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/)