Journal profile

The Korean journal of internal medicine

Publisher: Korean Association of Internal Medicine
ISSN1226-3303 | 2005-6648 FormatPrint StatusCurrently indexed

Journal Citation Impact

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

Impact Factor
3.27
Citation rate 2.40 527 total citations
h5-index 32 h5 depth signal
Cited share 63.9% 149 of 233
Total citations 527 Citation footprint
Metric signal 2.60 External metric anchor
Self-citation 3.0% 16 self-citations

Citations Trend

Monthly Publications Cadence

Citing Geographic Demographics

South Korea 1,439
United States 72
China 63
Japan 63
Australia 24

Citing Fields of Research

Cardiology 217
Digestive Disorders 166
Kidney Diseases 139
Musculoskeletal Disorders 133
Auto-Inflammatory Disorders 126

Publishing Activity & Reach

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

All-time article footprint 3,230 Articles tracked across the journal lifetime
Indexed publication set 233 149 cited publications
Last 12 months 119 19.8 publications/month
Open access share 100.0% 119 OA publications in the last year
Leading citing country South Korea 1,439 citing publications
Leading citing field Cardiology 217 citing publications
Latest tracked publication 1 October 2026 10 recent records available

Coverage & Indexing History

MEDLINE
v1n1, 1986-
PubMed
v1n1, 1986-
PMC
Active Coverage
Index medicus
Active Coverage

Research Focus & Classification

Indexed Subjects

Cardiology Auto-Inflammatory Disorders Musculoskeletal Disorders Kidney Diseases Inflammatory Bowel Diseases & Infections Digestive Disorders Diabetes

Issuing & Sponsoring Bodies

Contributor
Taehan Naekwa Hakhoe

Broad Categories

Internal Medicine Cardiology Musculoskeletal Disorders Auto-Inflammatory Disorders Digestive Disorders Urology Inflammatory Bowel Diseases & Infections Lymphomas

MeSH Descriptors

Internal Medicine

Latest Publications

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

10
Young-Sang Jeong, Jong-Il Park, Kang-Un Choi et al.
Background/Aims: This study aimed to evaluate the prognostic value of artificial intelligence (AI)-based late gadolinium enhancement (LGE) quantification using cardiovascular magnetic resonance (CMR) in patients with hypertrophic cardiom...

Bibliographical & Catalog Notes

Description based on: Vol. 1, no. 2 (July 1986).

Also issued online.

This is not the translation of: Taehan Naekwa Hakhoe chapchi.