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Journal Photo for Communications Medicine
Peer reviewed only Open Access

Communications Medicine (CM)

Publisher : Springer Nature
oncology cardiology neurology
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e-ISSN 2730-664X
Issue Frequency Monthly
Est. Year 2025
Mobile 442078334000
DOI YES
Country United Kingdom
Language English
APC YES
Impact Factor Assignee Google Scholar
Email commsmed@nature.com, commsproduction@springernature.com, press@nature.com

Journal Descriptions

Communications Medicine is a selective open access journal from Nature Portfolio publishing high-quality research, reviews and commentary across all clinical, translational, and public health research fields. The journal aims to foster collaboration across these different communities to facilitate discovery that will promote health and improve patients’ lives globally. Primary research papers published by the journal represent significant advances in preventing, diagnosing, or treating human disease. Communications Medicine is supportive of Springer Nature’s effort to advance progress towards the UN Sustainable Development Goals (SDGs), in particular SDG3: Good health and wellbeing and SDG5: Gender equality. We welcome submissions that are relevant to the goals of ensuring healthy lives and promoting well-being for all at all ages, as well as of promoting gender equality in health, medical practice, and research.

Communications Medicine (CM) is :-

  • International, Peer-Reviewed, Open Access, Refereed, oncology, cardiology, neurology, global public health, medical research , Online , Monthly Journal

  • UGC Approved, ISSN Approved: P-ISSN E-ISSN: 2730-664X, Established: 2025,
  • Provides Crossref DOI

  • Indexed in: Scopus, WoS, DOAJ, PubMed

  • Not indexed in UGC CARE

Indexing

Publications of CM

The impact of imputation quality on machine learning classifiers for datasets with missing values
Pietro Liò October, 2023
Background Classifying samples in incomplete datasets is a common aim for machine learning practitioners, but is non-trivial. Missing data is found in most real-world datasets and these mis...
Identifying healthy individuals with Alzheimer’s disease neuroimaging phenotypes in the UK Biobank
Pietro Liò July, 2023
Background Identifying prediagnostic neurodegenerative disease is a critical issue in neurodegenerative disease research, and Alzheimer’s disease (AD) in particular, to identify populatio...