<table class="infobox infobox-researcher">
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<th class="infobox-header" colspan="2">Bin Zhang</th>
</tr>
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<td class="infobox-image" colspan="2">
<em>Photo placeholder</em>
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<td class="label">Affiliations</td>
<td>Icahn School of Medicine at Mount Sinai</td>
</tr>
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<td class="label">Country</td>
<td>USA</td>
</tr>
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<td class="label">H-index</td>
<td>150</td>
</tr>
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<td class="label">ORCID</td>
<td><a href="https://orcid.org/0000-0001-6741-8382" target="_blank">0000-0001-6741-8382</a></td>
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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>Genomics, Bioinformatics, Systems biology</td>
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Bin Zhang
Overview
Bin Zhang is a leading researcher in the field of neurodegenerative diseases, affiliated with Icahn School of Medicine at Mount Sinai. Their research focuses on Genomics, Bioinformatics, Systems biology, with particular emphasis on Alzheimer's Disease. With an h-index of 150, 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. Their research group has made significant contributions to the fields of Genomics, Bioinformatics, Systems biology, publishing in high-impact journals including leading neuroscience journals.
...<table class="infobox infobox-researcher">
<tr>
<th class="infobox-header" colspan="2">Bin Zhang</th>
</tr>
<tr>
<td class="infobox-image" colspan="2">
<em>Photo placeholder</em>
</td>
</tr>
<tr>
<td class="label">Affiliations</td>
<td>Icahn School of Medicine at Mount Sinai</td>
</tr>
<tr>
<td class="label">Country</td>
<td>USA</td>
</tr>
<tr>
<td class="label">H-index</td>
<td>150</td>
</tr>
<tr>
<td class="label">ORCID</td>
<td><a href="https://orcid.org/0000-0001-6741-8382" target="_blank">0000-0001-6741-8382</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>Genomics, Bioinformatics, Systems biology</td>
</tr>
</table>
Bin Zhang
Overview
Bin Zhang is a leading researcher in the field of neurodegenerative diseases, affiliated with Icahn School of Medicine at Mount Sinai. Their research focuses on Genomics, Bioinformatics, Systems biology, with particular emphasis on Alzheimer's Disease. With an h-index of 150, 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. Their research group has made significant contributions to the fields of Genomics, Bioinformatics, Systems biology, publishing in high-impact journals including leading neuroscience journals.
Based at Icahn School of Medicine at Mount Sinai, 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)
Mechanisms of Interest
- Genomics
- Bioinformatics
- Systems biology
Programmatic Emphasis
Zhang'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 Genomics, Bioinformatics, Systems biology 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 Bin Zhang](https://pubmed.ncbi.nlm.nih.gov/?term=Bin+Zhang%5BAuthor%5D)[@orcid2026]
[Google Scholar author search for Bin Zhang](https://scholar.google.com/scholar?q=author%3A%22Bin+Zhang%22)[@orcid2026]
[Semantic Scholar profile search for Bin Zhang](https://www.semanticscholar.org/search?q=Bin+Zhang)[@orcid2026]
Recent Research
Recent PubMed-indexed publications (2022-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.
[Application of neurodynamics theory in the study of neural circuits in major depressive disorder: a review on neural energy approaches.](https://pubmed.ncbi.nlm.nih.gov/41822235/). Cognitive neurodynamics. 2026.
[Incidence of silent cerebral lesions during pulsed field ablation for paroxysmal atrial fibrillation.](https://pubmed.ncbi.nlm.nih.gov/41774050/). Annals of medicine. 2026.
[Identification of impaired functional network of differential symptoms in depression-A meta-analysis of resting-state functional connectivity.](https://pubmed.ncbi.nlm.nih.gov/41713219/). Psychiatry research. Neuroimaging. 2026.
[Carrier-free nanoassembly with dual antioxidant and anti-inflammatory activities camouflaged by melanoma cell membrane for tau-targeted therapy of Alzheimer's disease.](https://pubmed.ncbi.nlm.nih.gov/41520543/). Biomaterials. 2026.
Collaborators and Research Network
[Alison M. Goate](/researchers/alison-goate), [Eric E. Schadt](/researchers/eric-schadt)
Institutional Context
Primary institutional links: [Icahn School of Medicine at Mount Sinai](/icahn-school-of-medicine-at-mount-sinai). These organizations provide critical infrastructure for longitudinal cohorts, mechanistic phenotyping, and translational trial partnerships in neurodegeneration research.
Open Questions and Future Directions
- How can Genomics, Bioinformatics, Systems biology 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/0000-0001-6741-8382](https://orcid.org/0000-0001-6741-8382)
- Google Scholar: [Search for Bin Zhang](https://scholar.google.com/scholar?q=author%3A%22Bin+Zhang%22)
- PubMed: [Author search for Bin Zhang](https://pubmed.ncbi.nlm.nih.gov/?term=Bin+Zhang%5BAuthor%5D)
See Also
- [Researchers and Institutions Index](/researchers)
- [Diseases Index](/diseases)
- [Mechanisms Index](/mechanisms)
References
Unknown, ORCID profile for Bin Zhang (2026)
[Unknown, Long and Holtzman, Alzheimer disease an update on pathobiology and treatment strategies 2019 (2019)](https://pubmed.ncbi.nlm.nih.gov/30617256/)