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Nature Communications (NC)

Publisher :

Nature Publishing Group

Scopus Profile
Peer reviewed only
Scopus Profile
Open Access
  • Biochemistry
  • Molecular Biology
  • Chemistry
  • +3

Issue Frequency :

Bi-Monthly

p-ISSN :

2041-1723

Est. Year :

2010

Mobile :

442078334000

Country :

United Kingdom

Language :

English

APC :

YES

Impact Factor Assignee :

Google Scholar

Email :

n.lebot@nature.com

Journal Descriptions

Nature Communications is an open access, multidisciplinary journal dedicated to publishing high-quality research in all areas of the biological, health, physical, chemical, Earth, social, mathematical, applied, and engineering sciences. Papers published by the journal aim to represent important advances of significance to specialists within each field. We are committed to providing an efficient service for both authors and readers. Our team of independent editors make rapid and fair publication decisions. Prompt dissemination of accepted papers to a wide readership and beyond is achieved through a programme of continuous online publication.Nature Communications is indexed in DOAJ, MEDLINE, Web of Science, Scopus and Google Scholar.


Nature Communications (NC) is :

International, Peer-Reviewed, Open Access, Refereed, Biochemistry, Molecular Biology, Chemistry, Astronomy, Physics, Multidisciplinary , Print, Bi-Monthly Journal

UGC Approved, ISSN Approved: P-ISSN - 2041-1723, E-ISSN , Established in - 2010, Impact Factor

Not Provide Crossref DOI

Indexed in Scopus, DOAJ

Not indexed in WoS, PubMed, UGC CARE

Publications of NC

Research Article
  • dott image Martín G. Ravetti
  • dott image April, 2023

Diffusion capacity of single and interconnected networks

Understanding diffusive processes in networks is a significant challenge in complexity science. Networks possess a diffusive potential that depends on their topological configuration, but di...

Research Article
  • dott image David Buterez
  • dott image February, 2024

Transfer learning with graph neural networks for improved molecular property prediction in the multi-fidelity setting

We investigate the potential of graph neural networks for transfer learning and improving molecular property prediction on sparse and expensive to acquire high-fidelity data by leveraging lo...

Preference uncertainty accounts for developmental effects on susceptibility to peer influence in adolescence

Adolescents are prone to social influence from peers, with implications for development, both adaptive and maladaptive. Here, using a computer-based paradigm, we replicate a cross-sectional ...

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