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Breast Cancer Risk Factors

Breast Cancer Research is presenting our Retrospective Collection on "Breast Cancer Risk Factors." Celebrating 'Breast Cancer Awareness Month (1 October- 31 October)', with this Collection, we aim to gain valuable insights into the multifaceted aspects of breast cancer risk to promote awareness, prevention, and early detection.

Find out more by clicking the links below:

Artificial Intelligence in Breast Imaging
PDGFB in Breast Cancer Initiation,Progression, and Metastasis

New Content Item (1)

Aims and scope

Breast Cancer Research is an international, peer-reviewed online journal, publishing original research, reviews, editorials and reports. Open access research articles of exceptional interest are published in all areas of biology and medicine relevant to breast cancer, including normal mammary gland biology, with special emphasis on the genetic, biochemical, and cellular basis of breast cancer. In addition to basic research, the journal publishes preclinical, translational and clinical studies with a biological basis, including Phase I and Phase II trials.


  1. Authors: Tanjina Kader, Elena Provenzano, Madawa W. Jayawardana, Shona Hendry, Jia-Min Pang, Kenneth Elder, David J. Byrne, Lauren Tjoeka, Helen ML. Frazer, Eloise House, Sureshni I. Jayasinghe, Holly Keane, Anand Murugasu, Neeha Rajan, Islam M. Miligy, Michael Toss…


Lewis Chodosh, University of Pennsylvania, USA

Trending in the Media

Click here to see the most popular articles published in Breast Cancer Research in the past three months.

BCR's 20th Anniversary

20 years ago Breast Cancer Research published its first articles with BMC. Well-respected in the field, the journal has continually placed in the first quartile of the ‘Oncology’ category of Journal Citation Reports. Over the past decade, Breast Cancer Research (BCR) has also become the highest ranked breast cancer focused title in the field.

Look back at the journal’s milestone achievements and article highlights.

Featured Review - Artificial intelligence in mammographic phenotyping of breast cancer risk: a narrative review

In this review, we provide a useful reference for AI researchers investigating image-based breast cancer risk assessment while indicating key priorities and challenges that, if properly addressed, could accelerate the implementation of AI-assisted risk stratification to future refine and individualize breast cancer screening strategies.

Springer Nature Oncology Portfolio

Discover the range of academic oncology titles at Springer Nature here.

Annual Journal Metrics

  • Citation Impact 2023
    Journal Impact Factor: 6.1
    5-year Journal Impact Factor: 7.1
    Source Normalized Impact per Paper (SNIP): 1.865
    SCImago Journal Rank (SJR): 2.578

    Speed 2023
    Submission to first editorial decision (median days): 14
    Submission to acceptance (median days): 129

    Usage 2023
    Downloads: 2,432,781
    Altmetric mentions: 1,561