Impact Factor
3.66
Journal Citation Impact
Estimated influence, citation density, publishing volume, and citation integrity from the analytics table.
Citation rate
3.61
981 total citations
h5-index
36
h5 depth signal
Cited share
76.4%
214 of 280
Total citations
981
Citation footprint
Metric signal
3.28
External metric anchor
Self-citation
3.8%
37 self-citations
Citations Trend
Monthly Publications Cadence
Citing Geographic Demographics
United States
793
Canada
75
United Kingdom
61
Netherlands
47
France
45
Citing Fields of Research
Oncology
574
AI & Machine Learning
176
Breast Cancer
175
Health Education & Remote Healthcare
164
Lung Cancer
153
Publishing Activity & Reach
Volume, recency, access pattern, and citing-community signals from the journal analytics record.
All-time article footprint
1,166
Articles tracked across the journal lifetime
Indexed publication set
280
214 cited publications
Last 12 months
190
27.1 publications/month
Open access share
23.2%
44 OA publications in the last year
Leading citing country
United States
793 citing publications
Leading citing field
Oncology
574 citing publications
Latest tracked publication
1 October 2026
10 recent records available
Coverage & Indexing History
v2, 2018-
v2, 2018-
Research Focus & Classification
Indexed Subjects
Oncology
Lung Cancer
Breast Cancer
Prostate Cancer
AI & Machine Learning
Health Education & Remote Healthcare
Issuing & Sponsoring Bodies
issuing body
American Society of Clinical Oncology
Broad Categories
Neoplasms
Palliative Care
Breast Cancer
Lung Cancer
Medical Ethics
Prostate Cancer
Liver & Colon Cancer
MeSH Descriptors
Medical Informatics
Medical Oncology
Latest Publications
Recent article records with DOI-first linking and condensed abstracts.
01
DOI 10.1200/cci-25-00337
Open DOI
Comparison of an Artificial Intelligence Nutrition Platform With Dietitians in Providing Nutrition Support to Patients With Cancer
Purpose: Patients with cancer experience nutrition challenges, but access to registered dietitians (RDs) is limited. The purpose of this study was to determine whether a specialized Artificial Intelligence (AI) Nutrition Platform trained...
02
DOI 10.1200/cci-26-00200
Open DOI
Toward Clinically Actionable Prediction of Recurrence and Metastatic Progression in Pancreatic Ductal Adenocarcinoma: A Systematic Review
Purpose: Pancreatic ductal adenocarcinoma (PDAC) has high rates of early recurrence (ER), occult metastasis, and poor survival despite curative-intent therapy. Predictive factors and models span clinical, biomarker, imaging, radiomics, p...
03
DOI 10.1200/cci-26-00010
Open DOI
eHealth Literacy Among Patients With Cancer in Central Norway
Purpose: Empowering and activating patients by means of digital tools is associated with increased utilization of health care services and reduced health care costs. The aim of this study was to assess the ability patients with cancer ha...
04
DOI 10.1200/cci-26-00177
Open DOI
Bridging Clinical Observational Research and Data Standards in Head and Neck Cancer Care: Scoping Review and Mapping of Clinical Data Elements
Purpose: A scoping review and mapping of clinical data elements in observational studies were conducted to assess head and neck cancer (HNC) clinical data, alignment with existing observational oncology data standards, and the demonstrat...
05
DOI 10.1200/cci-25-00299
Open DOI
ConLymphNet: A Generalizable Region-Constrained Deep Learning Architecture for Precise Abdominal Lymph Node Segmentation Across Cancer Types.
Accurate identification and segmentation of abdominal lymph nodes on computed tomography (CT) is crucial for cancer staging and treatment planning but remains a challenging and time-consuming radiologic task. We developed and validated C...
06
DOI 10.1200/cci-25-00388
Open DOI
Large Language Models to Extract Cancer Staging Data From Clinical Documentation at Scale.
To develop a large language model (LLM) (Truveta Language Model Oncology [TLM-Oncology]) to extract real-world oncology staging data across multiple cancer types from clinical documentation with high precision. We selected patients from ...
07
DOI 10.1200/cci-25-00199
Open DOI
Integrating Natural Language Processing With ChatGPT to Improve Quality of Artificial Intelligence Summaries of Prostate Cancer Consultations.
Patients with prostate cancer (PC) face complex treatment decisions and often struggle to recall information from consultations. Artificial intelligence(AI)-generated summaries have potential to improve recall, but summaries of key conce...
08
DOI 10.1200/cci-26-00036
Open DOI
Guardians of Integrity: Establishing an Independent Artificial Intelligence Monitoring Board
09
DOI 10.1200/cci-26-00037
Open DOI
Enhancing Cancer Outcomes Research Through Vision Language Models for Cause of Death Ascertainment
BACKGROUND AND SCOPE: Cause of death is an important variable in cancer registries that supports downstream analyses, including cause-specific survival analysis. Unfortunately, in current practice, it is only available on government-issu...
10
DOI 10.1200/cci-25-00328
Open DOI
TrajSurv-mPC: Learning From Prostate-Specific Antigen Trajectories for Interpretable and Generalizable Survival Prediction in Metastatic Prostate Cancer
Purpose: Conventional prognostic models for metastatic prostate cancer (mPC) typically rely on summary features like prostate-specific antigen (PSA) doubling time, often obscuring informative longitudinal dynamics. We developed TrajSurv-...
Bibliographical & Catalog Notes
Articles published as they become available and compiled into annual issues.
Numbering from archive page.