<table class="infobox infobox-researcher">
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<th class="infobox-header" colspan="2">Taiping Zhang</th>
</tr>
<tr>
<td class="infobox-image" colspan="2">
<em>Photo placeholder</em>
</td>
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<td class="label">Affiliations</td>
<td>Peking University</td>
</tr>
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<td class="label">Country</td>
<td>China</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/0000-0003-2823-7927" target="_blank">0000-0003-2823-7927</a></td>
</tr>
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<td class="label">Research Focus</td>
<td>[Alzheimer's Disease](/diseases/alzheimers), [Parkinson's Disease](/diseases/parkinsons-disease)</td>
</tr>
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<td class="label">Mechanisms</td>
<td>[Genetics](/mechanisms/familial-alzheimers-genetics), [Ubiquitin-proteasome system](/mechanisms/ubiquitin-proteasome-system)</td>
</tr>
</table>
Taiping Zhang
Overview
Taiping Zhang is a leading researcher in the field of neurodegenerative diseases, affiliated with Peking University. Their research focuses on Genetics, Ubiquitin-proteasome system, with particular emphasis on Alzheimer's Disease and Parkinson's Disease. With an h-index of 100, Zhang is among the most cited researchers in the neuroscience field[@orcid2026].
...<table class="infobox infobox-researcher">
<tr>
<th class="infobox-header" colspan="2">Taiping Zhang</th>
</tr>
<tr>
<td class="infobox-image" colspan="2">
<em>Photo placeholder</em>
</td>
</tr>
<tr>
<td class="label">Affiliations</td>
<td>Peking University</td>
</tr>
<tr>
<td class="label">Country</td>
<td>China</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/0000-0003-2823-7927" target="_blank">0000-0003-2823-7927</a></td>
</tr>
<tr>
<td class="label">Research Focus</td>
<td>[Alzheimer's Disease](/diseases/alzheimers), [Parkinson's Disease](/diseases/parkinsons-disease)</td>
</tr>
<tr>
<td class="label">Mechanisms</td>
<td>[Genetics](/mechanisms/familial-alzheimers-genetics), [Ubiquitin-proteasome system](/mechanisms/ubiquitin-proteasome-system)</td>
</tr>
</table>
Taiping Zhang
Overview
Taiping Zhang is a leading researcher in the field of neurodegenerative diseases, affiliated with Peking University. Their research focuses on Genetics, Ubiquitin-proteasome system, with particular emphasis on Alzheimer's Disease and Parkinson's Disease. With an h-index of 100, Zhang is among the most cited researchers in the neuroscience field[@orcid2026].
Zhang's work spans multiple aspects of neurodegeneration, contributing to our understanding of the molecular mechanisms that underlie diseases such as Alzheimer's Disease and Parkinson's Disease. Their research group has made significant contributions to the fields of Genetics, Ubiquitin-proteasome system, publishing in high-impact journals including leading neuroscience journals.
Based at Peking University, Zhang 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)
- [Parkinson's Disease](/diseases/parkinsons-disease)
Mechanisms of Interest
- [Genetics](/mechanisms/genetics)
- Ubiquitin-proteasome system
Programmatic Emphasis
Zhang's portfolio emphasizes mechanism-aware biomarker interpretation and translational hypothesis testing in Alzheimer's Disease and Parkinson'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[@van2016].
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 Genetics, Ubiquitin-proteasome system 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 Taiping Zhang](https://pubmed.ncbi.nlm.nih.gov/?term=Taiping+Zhang%5BAuthor%5D)[@orcid2026]
[Google Scholar author search for Taiping Zhang](https://scholar.google.com/scholar?q=author%3A%22Taiping+Zhang%22)[@orcid2026]
[Semantic Scholar profile search for Taiping Zhang](https://www.semanticscholar.org/search?q=Taiping+Zhang)[@orcid2026]
Recent Research
Recent PubMed-indexed publications (2022-present):
[GutMIND: A multi-cohort machine learning framework for integrative characteristics of the microbiota-gut-brain axis in neuropsychiatric disorders.](https://pubmed.ncbi.nlm.nih.gov/41696869/). Gut microbes. 2026.
[Transcriptomic regulation of the hypothalamic-pituitary axis by GnRH immunization in Xizang sheep.](https://pubmed.ncbi.nlm.nih.gov/41715947/). Animal biotechnology. 2026.
[Transcranial direct current stimulation targeting dmPFC ameliorates somatic symptoms in depression: A randomized control trial.](https://pubmed.ncbi.nlm.nih.gov/41707731/). Journal of affective disorders. 2026.
[Right orbitofrontal cortex rTMS targets anxiety, not depressive, symptoms in first-episode schizophrenia.](https://pubmed.ncbi.nlm.nih.gov/41620181/). Journal of affective disorders. 2026.
[Salvia miltiorrhiza Bge. processed with porcine cardiac blood alleviates cerebral ischemia reperfusion injury through activating PPARγ/NF-κB pathway via suppressing arachidonic acid metabolism.](https://pubmed.ncbi.nlm.nih.gov/41698560/). Journal of ethnopharmacology. 2026.
Collaborators and Research Network
Collaborator network pending enrichment.
Institutional Context
Primary institutional links: [Peking University](/peking-university). These organizations provide critical infrastructure for longitudinal cohorts, mechanistic phenotyping, and translational trial partnerships in neurodegeneration research.
Open Questions and Future Directions
- How can Genetics, Ubiquitin-proteasome system 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 Parkinson's Disease into clinically meaningful interventions?
External Links
- ORCID: [https://orcid.org/0000-0003-2823-7927](https://orcid.org/0000-0003-2823-7927)
- Google Scholar: [Search for Taiping Zhang](https://scholar.google.com/scholar?q=author%3A%22Taiping+Zhang%22)
- PubMed: [Author search for Taiping Zhang](https://pubmed.ncbi.nlm.nih.gov/?term=Taiping+Zhang%5BAuthor%5D)
See Also
- [Researchers and Institutions Index](/researchers)
- [Diseases Index](/diseases)
- [Mechanisms Index](/mechanisms)
References
Unknown, ORCID profile for Taiping Zhang (2026)
[Unknown, Long and Holtzman, Alzheimer disease an update on pathobiology and treatment strategies 2019 (2019)](https://pubmed.ncbi.nlm.nih.gov/30617256/)
[Van Cauwenberghe et al, The genetic landscape of Alzheimer disease 2016 (2016)](https://pubmed.ncbi.nlm.nih.gov/27916929/)