Gastric Cancer
Published by Springer Nature
ISSN : 1436-3291 eISSN : 1436-3305
Abbreviation : Gastric Cancer
Aims & Scope
Gastric Cancer, a joint official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association, publishes significant studies related to stomach neoplasms.
The journal welcomes original articles, case reports, short communications, and technical notes, which will be peer-reviewed by the editorial board.
Letters to the Editor commenting on articles published in the journal or expressing views on topics concerning gastric cancer are also welcomed.
Review articles are in principle solicited by the Editor.
Meeting reports will include summaries of symposia or consensus achieved in the congresses of related associations.
View Aims & ScopeMetrics & Ranking
Impact Factor
Year | Value |
---|---|
2025 | 5.1 |
2024 | 6.00 |
SJR (SCImago Journal Rank)
Year | Value |
---|---|
2024 | 2.489 |
Quartile
Year | Value |
---|---|
2024 | Q1 |
h-index
Year | Value |
---|---|
2024 | 106 |
Journal Rank
Year | Value |
---|---|
2024 | 965 |
Journal Citation Indicator
Year | Value |
---|---|
2024 | 2182 |
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.
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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Incidence of lymph node metastasis from early gastric cancer: estimation with a large number of cases at two large centers
Citation: 1436
Authors: Takuji, Akio, Mitsuru, Hiroyuki, Yukihiro, Tadakazu, Yo
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Application of artificial intelligence using a convolutional neural network for detecting gastric cancer in endoscopic images
Citation: 596
Authors: Toshiaki, Kazuharu, Tetsuya, Soichiro, Satoki, Tsuyoshi, Tatsuya, Mitsuhiro, Keigo, Junko, Tomohiro
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HER2 screening data from ToGA: targeting HER2 in gastric and gastroesophageal junction cancer
Citation: 488
Authors: Eric, Yung-Jue, Feng, Jian M., Keun-Wook, Shun-Chang, Jorge León, Roberto I., Timothy, Oleg, Oliver, Julie, Vivian, Michaela, Marlene, Astrid, Josef