Impact Factor
4.12
Journal Citation Impact
Estimated influence, citation density, publishing volume, and citation integrity from the analytics table.
Citation rate
5.72
1,640 total citations
h5-index
36
h5 depth signal
Cited share
91.0%
273 of 300
Total citations
1,640
Citation footprint
Metric signal
6.41
External metric anchor
Self-citation
1.3%
21 self-citations
Citations Trend
Monthly Publications Cadence
Citing Geographic Demographics
China
598
United States
132
Germany
109
South Korea
49
United Kingdom
49
Citing Fields of Research
Oncology
295
Liver & Colon Cancer
180
Brain Imaging
166
Lung Cancer
145
Prostate Cancer
104
Publishing Activity & Reach
Volume, recency, access pattern, and citing-community signals from the journal analytics record.
All-time article footprint
1,984
Articles tracked across the journal lifetime
Indexed publication set
300
273 cited publications
Last 12 months
194
16.2 publications/month
Open access share
100.0%
194 OA publications in the last year
Leading citing country
China
598 citing publications
Leading citing field
Oncology
295 citing publications
Latest tracked publication
17 October 2026
10 recent records available
Coverage & Indexing History
v5n1, 2005-
v4n1, 2004-
Active Coverage
Research Focus & Classification
Indexed Subjects
Oncology
Lung Cancer
Brain Imaging
Liver & Colon Cancer
Breast Cancer
Prostate Cancer
Issuing & Sponsoring Bodies
Contributor
International Cancer Imaging Society
Broad Categories
Diagnostic Imaging
Neoplasms
Lung Cancer
Brain Imaging
Liver & Colon Cancer
Prostate Cancer
Digestive Disorders
Endocrinology & Metabolism
MeSH Descriptors
Diagnostic Imaging
Neoplasms
Latest Publications
Recent article records with DOI-first linking and condensed abstracts.
01
02
03
DOI 10.1186/s40644-026-01137-2
Open DOI
Multidisciplinary attitudes towards LLM-structured oncologic CT reports: a prospective fixed-sequence questionnaire study
Objectives: Large language models (LLMs) can automate the conversion of radiologic free text into structured reports, but multidisciplinary reader preferences for the resulting output remain insufficiently studied. This prospective, two-...
04
DOI 10.1186/s40644-026-01132-7
Open DOI
CT venous-phase radiomics for preoperative differentiation of early and advanced gastric cancer: construction, comparison, and validation of machine-learning models
Objective: To construct various radiomics models based on CT venous-phase images for the quantitative assessment of gastric cancer (GC) invasion depth into the gastric wall, and to compare the diagnostic performance of different machine-...
05
DOI 10.1186/s40644-026-01135-4
Open DOI
CT radiomics showed no improvement beyond volume dynamics for early lesion-level size response to immunotherapy in metastatic melanoma
Background: We evaluated whether CT intensity and texture radiomics provide predictive value beyond simple volume dynamics for lesion-level response prediction in metastatic melanoma treated with immune checkpoint inhibitors. Methods: We...
06
07
08
09
DOI 10.1186/s40644-026-01124-7
Open DOI
Classifying adult-type diffuse glioma using 7T magnetic resonance spectroscopic imaging
Objectives: Established clinical MR imaging offers limited accuracy for the precise classification of adult-type diffuse glioma. The purpose of this study was to identify robust 7T MRSI metabolic markers that distinguish glioblastoma, ID...
10
DOI 10.1186/s40644-026-01094-w
Open DOI
Proceedings of the 25th International Cancer Imaging Society Meeting and Annual Teaching Course
Bibliographical & Catalog Notes
Title from caption (publisher Web site, viewed Aug. 16, 2004).
Latest issue consulted: Vol. 4, issue 2 (viewed Aug. 16, 2004).
First issue of each vol. contains the annual ICIS Conference. Issue for Vol. 1, issue 1- contains ICIS Conference 2000- .
Vol. 4 issued also with a special issue.
International Cancer Imaging Society annual conference issue also published in print.
Mode of access: Internet.