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Human Neural Stem Cells

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Cover of 'Human Neural Stem Cells'

Table of Contents

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    Book Overview
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    Chapter 1 Derivation of Neural Stem Cells from the Developing and Adult Human Brain
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    Chapter 2 Human Somatic Stem Cell Neural Differentiation Potential
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    Chapter 3 Neural Stem Cells Derived from Human-Induced Pluripotent Stem Cells and Their Use in Models of CNS Injury
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    Chapter 4 Generation of Human Neural Stem Cells by Direct Phenotypic Conversion
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    Chapter 5 Epigenetic Regulation of Human Neural Stem Cell Differentiation
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    Chapter 6 Induced Pluripotent Stem Cells Reveal Common Neurodevelopmental Genome Deprograming in Schizophrenia
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    Chapter 7 Genome Editing in Human Neural Stem and Progenitor Cells
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    Chapter 8 Brain Organoids: Expanding Our Understanding of Human Development and Disease
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    Chapter 9 Bioengineering of the Human Neural Stem Cell Niche: A Regulatory Environment for Cell Fate and Potential Target for Neurotoxicity
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    Chapter 10 Updates on Human Neural Stem Cells: From Generation, Maintenance, and Differentiation to Applications in Spinal Cord Injury Research
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    Chapter 11 Human Neural Stem Cells for Ischemic Stroke Treatment
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    Chapter 12 Modeling Complex Neurological Diseases with Stem Cells: A Study of Bipolar Disorder
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    Chapter 13 Neural Stem Cell Dysfunction in Human Brain Disorders
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    Chapter 14 Human Fetal Neural Stem Cells for Neurodegenerative Disease Treatment
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Title
Human Neural Stem Cells
Published by
Springer International Publishing, November 2018
DOI 10.1007/978-3-319-93485-3
ISBNs
978-3-31-993484-6, 978-3-31-993485-3
Editors

Buzanska, Leonora

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X Demographics

The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 29%
Student > Bachelor 5 21%
Student > Ph. D. Student 4 17%
Researcher 3 13%
Professor > Associate Professor 1 4%
Other 0 0%
Unknown 4 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 33%
Agricultural and Biological Sciences 5 21%
Neuroscience 4 17%
Immunology and Microbiology 1 4%
Unknown 6 25%