Journal of Breast Cancer
Published by Korean Breast Cancer Society
ISSN : 1738-6756 eISSN : 2092-9900
Abbreviation : J. Breast Cancer
Aims & Scope
The Journal of Breast Cancer (abbreviated as 'J Breast Cancer') is the official journal of the Korean Breast Cancer Society, which is issued quarterly in the last day of March, June, September, and December each year since 1998.
All the contents of the Journal is available online at the official journal website (http://ejbc.kr) under open access policy.
The journal aims to provide a forum for the academic communication between medical doctors, basic science researchers, and health care professionals to be interested in breast cancer.
To get this aim, we publish original investigations, review articles, brief communications including case reports, editorial opinions on the topics of importance to breast cancer, and welcome new research findings and epidemiological studies, especially when they contain a regional data to grab the international reader's interest.
Although the journal is mainly dealing with the issues of breast cancer, rare cases among benign breast diseases or evidence-based scientifically written articles providing useful information for clinical practice can be published as well.
View Aims & ScopeMetrics & Ranking
Impact Factor
Year | Value |
---|---|
2025 | 2.4 |
2024 | 2.20 |
SJR (SCImago Journal Rank)
Year | Value |
---|---|
2024 | 0.760 |
Quartile
Year | Value |
---|---|
2024 | Q2 |
h-index
Year | Value |
---|---|
2024 | 52 |
Journal Rank
Year | Value |
---|---|
2024 | 7265 |
Journal Citation Indicator
Year | Value |
---|---|
2024 | 345 |
Impact Factor Trend
Abstracting & Indexing
Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.
Subjects & Keywords
Journal’s research areas, covering key disciplines and specialized sub-topics in Biochemistry, Genetics and Molecular Biology and Medicine, designed to support cutting-edge academic discovery.
Licensing & Copyright
This journal operates under an Open Access model. Articles are freely accessible to the public immediately upon publication. The content is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing users to share and adapt the work with proper attribution.
Copyright remains with the author(s), and no permission is required for non-commercial use, provided the original source is cited.
Policy Links
This section provides access to essential policy documents, guidelines, and resources related to the journal’s publication and submission processes.
- Aims scope
- Homepage
- Oa statement
- Author instructions
- License terms
- Review url
- Board url
- Preservation url
- Apc url
APC Details
The journal’s Article Processing Charge (APC) policies support open access publishing in Biochemistry, Genetics and Molecular Biology and Medicine, ensuring accessibility and quality in research dissemination.
This journal requires an Article Processing Charge (APC) to support open access publishing, covering peer review, editing, and distribution. The current APC is 500.00 USD. Learn more.
Explore journals without APCs for alternative publishing options.
Most Cited Articles
The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.
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Seroma Formation after Breast Cancer Surgery: What We Have Learned in the Last Two Decades
Citation: 180
Authors: Vivek, Somprakas, Vijay Kumar
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Expression of DNA Methyltransferases in Breast Cancer Patients and to Analyze the Effect of Natural Compounds on DNA Methyltransferases and Associated Proteins
Citation: 179
Authors: Sameer, Gayatri, Rajinder, Sidhartha Datta, Pranav, Ranju
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Usefulness of Pretreatment Neutrophil to Lymphocyte Ratio in Predicting Disease-Specific Survival in Breast Cancer Patients
Citation: 159
Authors: Hany, Minseob, Airi
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Development of Novel Breast Cancer Recurrence Prediction Model Using Support Vector Machine
Citation: 149
Authors: Woojae, Ku Sang, Jeong Eon, Dong-Young, Sung-Won, Yong Sik, Man Young, Rae Woong
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Tumor-Associated Macrophages as Potential Prognostic Biomarkers of Invasive Breast Cancer
Citation: 144
Authors: Hasong, Ilseon, Sun Hee, Hyeong Chan, Sun Young
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Overexpression of MMP-9 and HIF-1α in Breast Cancer Cells under Hypoxic Conditions
Citation: 137
Authors: Jae Young, Yeon Soo, Sun Young, Jeong Yoon
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Tumor-Associated Lymphocytes Predict Response to Neoadjuvant Chemotherapy in Breast Cancer Patients
Citation: 109
Authors: Hee Jin, Jin-Young, Jin-Hee, Sei-Hyun, Gyungyub
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Molecular Classification of Triple-Negative Breast Cancer
Citation: 103
Authors: Sung Gwe, Seung Jun, Cheungyeul, Joon
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Medical and Surgical Treatment of Idiopathic Granulomatous Lobular Mastitis: A Benign Inflammatory Disease Mimicking Invasive Carcinoma
Citation: 101
Authors: Gunay, Ali, Fugen, Hikmet, Abdullah