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Features
Assistant
AI grounded in research
Search
Full-text citation search
Collections
Organize and monitor papers
All Features →
Integrations
MCP
Connect AI agents to Scite
API
Programmatic data access
Holdings
Full-text via your library
Zotero Plugin
Citation data in Zotero
Browser Extension
Citation badges anywhere
All Integrations →
Data
Rankings
Pricing
Log In
Start Free Trial
Yu-jin Qu
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26
Publications
322
Citation Statements Received
455
Citation Statements Given
How they've been cited
388
31
287
4
How they cite others
628
10
431
14
Affiliations
Capital Institute of Pediatrics
Publications
Order By: Most citations
Association of Copy Numbers of Survival Motor Neuron Gene 2 and Neuronal Apoptosis Inhibitory Protein Gene With the Natural History in a Chinese Spinal Muscular Atrophy Cohort
Qu
1
,
Ge
2
,
Bai
3
et al.
2014
J Child Neurol
Abstract
Show
37
5
42
1
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Cite
Mutation Spectrum of the Survival of Motor Neuron 1 and Functional Analysis of Variants in Chinese Spinal Muscular Atrophy
Qu
1
,
Bai
2
,
Wang
3
et al.
2016
The Journal of Molecular Diagnostics
Abstract
Show
54
4
42
0
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Cite
Correlation of PLS3 expression with disease severity in children with spinal muscular atrophy
Yanyan
1
,
Qu
2
,
Jin
3
et al.
2013
J Hum Genet
Abstract
Show
44
3
33
0
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Cite
The Natural History of Infant Spinal Muscular Atrophy in China
Ge
1
,
Bai
2
,
Lü
3
et al.
2011
J Child Neurol
Abstract
Show
38
3
26
2
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Cite
Association between SMN2 methylation and disease severity in Chinese children with spinal muscular atrophy
Qu
1
,
He
2
,
Li
3
et al.
2016
J. Zhejiang Univ. Sci. B
Abstract
Show
26
0
23
1
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Cite
Subtle mutations in the SMN1 gene in Chinese patients with SMA: p.Arg288Met mutation causing SMN1 transcript exclusion of exon7
Qu
1
,
Du
2
,
Li
3
et al.
2012
BMC Med Genet
Abstract
Show
27
0
20
0
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Cite
Bone mineral density and its influencing factors in Chinese children with spinal muscular atrophy types 2 and 3
Peng
1
,
Qu
2
,
Li
3
et al.
2021
BMC Musculoskelet Disord
Abstract
Show
12
7
11
0
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Cite
A high-fidelity long-read sequencing-based approach enables accurate and effective genetic diagnosis of spinal muscular atrophy
Bai
1
,
Qu
2
,
Huang
3
et al.
2024
Clinica Chimica Acta
15
2
13
0
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Cite
1
2
3