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Cell Discovery (CD)

Publisher :

Nature Publishing

Scopus Profile
Peer reviewed only
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Open Access
  • Biochemistry
  • Molecular Biology
  • Cell Discovery

    • +1

e-ISSN :

2056-5968

Issue Frequency :

Monthly

Impact Factor :

21.9

Est. Year :

2015

Mobile :

02154920952

Country :

China

Language :

English

APC :

YES

Impact Factor Assignee :

Google Scholar

Email :

cd@sibcb.ac.cn

Journal Descriptions

Cell Discovery, published by Springer Nature in partnership with the Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences (CAS), aims to provide an open access platform for scientists to publish their outstanding original works. Cell Discovery publishes results of high significance and broad interest in all areas of molecular and cell biology, including (but not limited to) the following topics: Cell growth, differentiation & apoptosis Signal transduction Stem cell biology & development Chromatin, epigenetics & transcription RNA biology Structural & molecular biology Cancer biology & metabolism Immunity & molecular pathogenesis Molecular & cellular neuroscience Plant molecular & cell biology Omics, system biology & synthetic biology The journal has an international authorship and a broad scope in basic life sciences, and is a valued member of Springer Nature’s highly respected family of Molecular Cell Biology journals.


Cell Discovery (CD) is :

International, Peer-Reviewed, Open Access, Refereed, Biochemistry, Molecular Biology, Cell Discovery, Cell Biology , Online Monthly Journal

UGC Approved, ISSN Approved: P-ISSN , E-ISSN - 2056-5968, Established in - 2015, Impact Factor - 21.9

Not Provide Crossref DOI

Indexed in Scopus, WoS, DOAJ, PubMed

Not indexed in UGC CARE

Indexing

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Google Scholar
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Scopus
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WoS

+11 More

Publications of CD

  • dott image September, 2024

A conditional protein diffusion model generates artificial programmable endonuclease sequences with enhanced activity

Deep learning-based methods for generating functional proteins address the growing need for novel biocatalysts, allowing for precise tailoring of functionalities to meet specific requirement...

  • dott image September, 2024

Conditional Protein Denoising Diffusion Generates Programmable Endonucleases

Deep learning-based methods for generating functional proteins address the growing need for novel biocatalysts, allowing for precise tailoring of functionalities to meet specific requirement...

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