Journal profile

Saudi medical journal

Publisher: Medical Services Department, Saudi Arabian Armed Forces, Ministry Of Defence And Aviation
ISSN0379-5284 | 1658-3175 FormatPrint StatusCurrently indexed

Journal Citation Impact

Estimated influence, citation density, publishing volume, and citation integrity from the analytics table.

Impact Factor
3.07
Citation rate 1.75 734 total citations
h5-index 28 h5 depth signal
Cited share 54.0% 236 of 437
Total citations 734 Citation footprint
Metric signal 1.95 External metric anchor
Self-citation 2.0% 15 self-citations

Citations Trend

Monthly Publications Cadence

Citing Geographic Demographics

Saudi Arabia 1,226
Turkey 205
China 141
United Kingdom 46
Egypt 44

Citing Fields of Research

Diabetes 169
Healthcare Policy 147
Cardiology 140
Musculoskeletal Disorders 134
Virology 119

Publishing Activity & Reach

Volume, recency, access pattern, and citing-community signals from the journal analytics record.

All-time article footprint 7,921 Articles tracked across the journal lifetime
Indexed publication set 437 236 cited publications
Last 12 months 235 19.6 publications/month
Open access share 87.7% 206 OA publications in the last year
Leading citing country Saudi Arabia 1,226 citing publications
Leading citing field Diabetes 169 citing publications
Latest tracked publication 15 October 2026 10 recent records available

Coverage & Indexing History

MEDLINE
v21n1, Jan. 2000-
PubMed
v21n1, Jan. 2000-
PMC
Active Coverage
Index medicus
Active Coverage

Research Focus & Classification

Indexed Subjects

Cardiology Diabetes Patient Care Musculoskeletal Disorders Antibiotic & Antibacterial Agents Hematology Endocrinology & Metabolism

Issuing & Sponsoring Bodies

Contributor
Riyadh Al-Kharj Hospital Programme (Saudi Arabia)

Broad Categories

Medicine Musculoskeletal Disorders Hematology Cardiology Digestive Disorders Urology Virology Endocrinology & Metabolism

MeSH Descriptors

Medicine

Latest Publications

Recent article records with DOI-first linking and condensed abstracts.

01
Emad A. Alsaleh, Maram J. Alnemer, Yousef H. A. Alhassan et al.
Objectives: Medication errors are a major source of preventable harm. We systematically reviewed workflow integrated artificial intelligence (AI) decision support (machine learning [ML], natural language processing, computer vision, and ...
04
Bandar S. Alshreef, Yousif A. Kariri
Objective: To explore peer-reviewed research on the application of Explainable Artificial Intelligence (XAI) techniques for histopathology-driven cancer risk evaluation, and to address the limitations delaying its transition into routine...
05
Mohammed Ageeli Hakami, Hassan Abdullah Albargy
Objectives: To quantify the potential impact of Kirsten rat sarcoma (KRAS) mutation on survival outcomes in colorectal cancer (CRC) patients from Arab countries, particularly in Saudi Arabia. As a chief cause of cancer-associated mortali...
06
Abdulaziz Alshaikh, Ghadah AlQarni, Abdulaziz Alghamdi et al.
Objectives: To assess radiation oncology physicians' perceptions of artificial intelligence (AI) in radiation therapy planning in Saudi Arabia and identify barriers to and support needs for its implementation.Methods: A cross-sectional o...
09
Abdulraoof Alsaeedi, Norah AlQarni, Ibrahim Rozi et al.
Objectives: To quantify changes in the volume, methods, and clinical maturity of artificial intelligence (AI) and machine learning (ML) research in major medical journals from 2018 through 2025.Methods: We conducted a longitudinal biblio...
10
Azra Zafar, Mustafa Al-Qarni
Objective: First-ever ischemic stroke (FIS) patients carry a higher risk of recurrent ischemic strokes (RIS). This study reports the incidence rate and describes the factors predicting recurrences in FIS patients.Methods: This retrospect...

Bibliographical & Catalog Notes

Suppls. accompany some vols.

Also issued online.

Text in English; table of contents in Arabic and English.