<table class="infobox infobox-researcher">
<tr>
<th class="infobox-header" colspan="2">Weihong Song</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>University of British Columbia</td>
</tr>
<tr>
<td class="label">Country</td>
<td>Canada</td>
</tr>
<tr>
<td class="label">H-index</td>
<td>120</td>
</tr>
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<td class="label">ORCID</td>
<td><a href="https://orcid.org/0000-0002-6165-3813" target="_blank">0000-0002-6165-3813</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>[APP](/entities/app-protein), [Oxidative stress](/mechanisms/oxidative-stress-ad), Transcription factors</td>
</tr>
</table>
Weihong Song
Overview
Weihong Song is a leading researcher in the field of neurodegenerative diseases, affiliated with University of British Columbia. Their research focuses on APP, Oxidative stress, Transcription factors, with particular emphasis on Alzheimer's Disease. With an h-index of 120, Song is among the most cited researchers in the neuroscience field[@orcid2026].
...<table class="infobox infobox-researcher">
<tr>
<th class="infobox-header" colspan="2">Weihong Song</th>
</tr>
<tr>
<td class="infobox-image" colspan="2">
<em>Photo placeholder</em>
</td>
</tr>
<tr>
<td class="label">Affiliations</td>
<td>University of British Columbia</td>
</tr>
<tr>
<td class="label">Country</td>
<td>Canada</td>
</tr>
<tr>
<td class="label">H-index</td>
<td>120</td>
</tr>
<tr>
<td class="label">ORCID</td>
<td><a href="https://orcid.org/0000-0002-6165-3813" target="_blank">0000-0002-6165-3813</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>[APP](/entities/app-protein), [Oxidative stress](/mechanisms/oxidative-stress-ad), Transcription factors</td>
</tr>
</table>
Weihong Song
Overview
Weihong Song is a leading researcher in the field of neurodegenerative diseases, affiliated with University of British Columbia. Their research focuses on APP, Oxidative stress, Transcription factors, with particular emphasis on Alzheimer's Disease. With an h-index of 120, Song is among the most cited researchers in the neuroscience field[@orcid2026].
Song'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 APP, Oxidative stress, Transcription factors, publishing in high-impact journals including leading neuroscience journals.
Based at University of British Columbia, Song 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
- APP
- [Oxidative stress](/mechanisms/oxidative-stress-ad)
- Transcription factors
Programmatic Emphasis
Song'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.
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 APP, Oxidative stress, Transcription factors 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 Weihong Song](https://pubmed.ncbi.nlm.nih.gov/?term=Weihong+Song%5BAuthor%5D)[@orcid2026]
[Google Scholar author search for Weihong Song](https://scholar.google.com/scholar?q=author%3A%22Weihong+Song%22)[@orcid2026]
[Semantic Scholar profile search for Weihong Song](https://www.semanticscholar.org/search?q=Weihong+Song)[@orcid2026]
Recent Research
Recent PubMed-indexed publications (2022-present):
[SIRT1 agonist SRT1720 alleviates cerebral ischemia-reperfusion injury by inhibiting lactate-mediated SOD2 Lactylation and suppressing NCOA4-mediated ferritinophagy-ferroptosis.](https://pubmed.ncbi.nlm.nih.gov/41687840/). Cellular signalling. 2026.
[Fight Alzheimer's disease with cancer.](https://pubmed.ncbi.nlm.nih.gov/41685371/). Cell insight. 2026.
[Transcriptomic Changes Associated with Electroacupuncture in a DMCAO Model of Delayed Cognitive Impairment.](https://pubmed.ncbi.nlm.nih.gov/41832738/). Current neurovascular research. 2026.
[c-MAF Transcriptionally Activates Slc40a1 to Repress Ferroptosis in Sepsis-Associated Encephalopathy.](https://pubmed.ncbi.nlm.nih.gov/41804166/). CNS neuroscience & therapeutics. 2026.
[Mapping the acute trajectory of sport-related concussion outcomes across symptoms, cognition, and blood biomarkers.](https://pubmed.ncbi.nlm.nih.gov/41737590/). Sports medicine and health science. 2026.
Collaborators and Research Network
Collaborator network pending enrichment.
Institutional Context
Primary institutional links: [University of British Columbia](/institutions/university-of-british-columbia). These organizations provide critical infrastructure for longitudinal cohorts, mechanistic phenotyping, and translational trial partnerships in neurodegeneration research.
Open Questions and Future Directions
- How can APP, Oxidative stress, Transcription factors 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/0000-0002-6165-3813](https://orcid.org/0000-0002-6165-3813)
- Google Scholar: [Search for Weihong Song](https://scholar.google.com/scholar?q=author%3A%22Weihong+Song%22)
- PubMed: [Author search for Weihong Song](https://pubmed.ncbi.nlm.nih.gov/?term=Weihong+Song%5BAuthor%5D)
See Also
- [Researchers and Institutions Index](/researchers)
- [Diseases Index](/diseases)
- [Mechanisms Index](/mechanisms)
References
Unknown, ORCID profile for Weihong Song (2026)
[Unknown, Long and Holtzman, Alzheimer disease an update on pathobiology and treatment strategies 2019 (2019)](https://pubmed.ncbi.nlm.nih.gov/30617256/)