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Versions: Online (Open Access)
Language: English
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Journal of Stem Cells Therapy and Cell Biology Reviews
About
Journal of Stem Cells Therapy and Cell Biology Reviews is an open access, peer-reviewed journal designed to publish scientific and scholarly applications of basic, translational and clinical research on stem cell therapeutics and regenerative therapies along with studies of other cell biology phenomenon also. Primarily the journal focuses on potential therapeutic action of different types of stem cells research and development on subjects pertaining to investigative studies including animal models and clinical trials. Broadening the journal knowledge source it also reviews on some important cell biology functional and mechanistic aspects of latest research work.
Aim and Scope
Encompassing on rapid research on stem cells therapeutics and the expanding horizon of cell biology development the journal aims to provide a huge platform to promptly publish high-quality articles. Forum of clinicians, upcoming scientists, academicians and translational investigators are highly welcomed to exchange their scientific dissemination through publishing articles as reviews, viewpoints, commentaries, reports and methods. The journal expects it associates to have healthy contributions of recent works within the domain of originality for nostalgic outcomes.
Keywords: On covering the publications it looks upon topics such as
- Stem cell types and application(Adult stem cells, Cancer Stem Cells, Embryonic Stem Cells/Induced Pluripotent Stem (iPS) Cells,
- Tissue-Specific Stem Cells),
- Regenerative Medicine (Stem cell therapy/transplantation),
- Stem Cell Technology:
- Epigenetic, Genomics,
- Proteomics, and Metabonomics,
- Tissue engineering,
- Biophysics and mechanobiology,
- Translational and Clinical Research (Animal models included), Ethical, legal and social aspects of Stem cells, Cytoskeletal dynamics,
- Cellular communication,
- Cell cycle and division,
- Cell growth, survival, and death,
- Cellular disease mechanisms,
- Computational cell biology.