HomeSearchESMO Real World Data and Digital Oncology

ESMO Real World Data and Digital Oncology

Elsevier · United Kingdom · Est. 2023

eISSN2949-8201
WOS ESCIDOAJOpen Access
25
/ 100
High Risk
Score Breakdown
WoS ESCI+10
DOAJ Verified+15
Total25
Journal Impact Factor
This journal is indexed in Web of Science (JCR) and has an official Journal Impact Factor. View the current value on the journal’s page ↗
H-Index
9
Total Works
569
Total Citations
321
2yr Mean Citedness
0.51
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Aims & Scope✦ Inferred from recent articles

This journal focuses on the application of real-world data and digital technologies, including artificial intelligence and large language models, in oncology. It examines the use of these tools for tasks such as data extraction from clinical notes, image analysis, clinical trial matching, and survival prediction. The journal also covers real-world effectiveness of treatments, patient outcomes, and the implementation of digital health solutions and patient-centered care in diverse oncology settings.

AI-summarised from recent articles · verify on publisher page →

General Information

Country / RegionUnited Kingdom
Primary LanguageEnglish
1st Year Published2023
StatusActive (last: 2026)
Total Publications569
Publisher OrgElsevier BV
OA Since2022
Visit Journal Website

Submission Info

APC Cost$2,750Above median
Peer ReviewDouble anonymous peer review
Review Time
Acceptance Rate
OA LicenseCC BY, CC BY-NC-ND
OA Rate

Ethics & Quality

COPE Member✗ No
OASPA Member✗ No
Not on Predatory Lists✓ Yes

Think.Check.Submit Compliance

9/12 · 75%
Do you know the journal / publisher?
Elsevier
Does the journal have a website?
✓ Linked
Is the ISSN verified?
2949-8201
Indexed in a trusted database?
DOAJ
Peer review process documented?
Double anonymous peer review
Follows ethical publishing standards (COPE)?
N/A
APC fees clearly disclosed?
$2,750
Not on predatory/blacklists?
✓ Clean
Long-term digital preservation?
N/A
Plagiarism detection in place?
N/A
Listed in DOAJ (verified OA)?
DOAJ verified
Primary language documented?
English

Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.

Subject Classification

Web of Science Categories

Oncology

Research Topics (OpenAlex)

Radiomics and Machine Learning in Medical ImagingArtificial Intelligence in Healthcare and EducationAI in cancer detectionMachine Learning in HealthcareCancer Genomics and DiagnosticsCancer Immunotherapy and BiomarkersFerroptosis and cancer prognosisCancer survivorship and careBreast Cancer Treatment StudiesLung Cancer Diagnosis and Treatment
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Data updated: 2026-05-26 · Sources: SJR, DOAJ, OpenAlex, WoS, Crossref