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Journal Photo for Nature Reviews Neuroscience
Peer reviewed only Open Access

Nature Reviews Neuroscience (NRN)

Publisher : Springer Nature
Neuroscience Multidisciplinary Science
e-ISSN 1471-0048
p-ISSN 1471-003X
Issue Frequency Monthly
Impact Factor 34.7
Est. Year 2000
Mobile 4402078334000
DOI YES
Country United Kingdom
Language English
APC YES
Impact Factor Assignee Google Scholar
Email nrn@nature.com

Journal Descriptions

Neuroscience is the archetypal multidisciplinary science encompassing a variety of fields that share the common goal of attempting to provide a complete understanding of the structure and function of the central nervous system. A series of advances in molecular, developmental and cognitive neuroscience, stimulated by the advent of powerful new experimental techniques and theoretical approaches, have now rendered some of the most enduring neurobiological questions increasingly tractable. This explosion of knowledge has in turn created a need for new tools to efficiently organize and communicate this information. Nature Reviews Neuroscience covers the breadth and depth of modern neuroscience by providing an authoritative, accessible, topical, and engaging first port of call for scientists who are interested in all aspects of neuroscience. Nature Review Neuroscience has no external editorial board. All editorial decisions are made by a team of full-time professional editors, who are PhD-level scientists. The international standard serial numbers (ISSN) for Nature Review Neuroscience are 1471-003X (print) and 1471-0048 (online).

Nature Reviews Neuroscience (NRN) is :-

  • International, Peer-Reviewed, Open Access, Refereed, Neuroscience, Multidisciplinary Science , Online or Print , Monthly Journal

  • UGC Approved, ISSN Approved: P-ISSN P-ISSN: 1471-003X, E-ISSN: 1471-0048, Established: 2000, Impact Factor: 34.7
  • Provides Crossref DOI
  • Indexed in: Scopus, WoS

  • Not indexed in DOAJ, PubMed, UGC CARE

Indexing

Publications of NRN

Sarah Morgan January, 2025
Recent advances in structural MRI analytics now allow the network organization of individual brains to be comprehensively mapped through the use of the biologically principled metric of anat...
Edward T. Bullmore March, 2009
Recent developments in the quantitative analysis of complex networks, based largely on graph theory, have been rapidly translated to studies of brain network organization. The brain's struct...
Edward T. Bullmore April, 2012
The brain is expensive, incurring high material and metabolic costs for its size — relative to the size of the body — and many aspects of brain network organization can be mostly explain...
Edward T. Bullmore May, 2013
Brain structure varies between people in a markedly organized fashion. Communities of brain regions co-vary in their morphological properties. For example, cortical thickness in one region i...
Edward T. Bullmore September, 2006
Functional MRI (fMRI) has had a major impact in cognitive neuroscience. fMRI now has a small but growing role in clinical neuroimaging, with initial applications to neurosurgical planning. C...