SCOPUS
National Health Care (Russia)
I.M. Sechenov First Moscow State Medical University, Russian Federation
National Health Care (Russia) is an academic journal published by I.M. Sechenov First Moscow State Medical University (Russian Federation). Identifiers: ISSN 2713-069X, eISSN 2713-0703. Indexed in SCOPUS. Metrics: CiteScore 1.0, SJR 0.149, SNIP 0.47. tlooto lists 147 papers from this journal.
CiteScore
1.00
Scopus citation metric
SJR
0.149
SCImago rank
SNIP
0.47
Source normalized impact
Percentage rank
-
JIF percentile rank
Journal profile
- ISSN
- 2713-069X
- eISSN
- 2713-0703
- Abbreviation
- -
- Publisher
- I.M. Sechenov First Moscow State Medical University
- Country
- Russian Federation
Web of Science categories
No Web of Science category data available.
Scopus ASJC categories
2718 Health Informatics2719 Health Policy2739 Public Health3601 Health Professions (miscellaneous)
Papers in this journal
Recent papers
- Disease diagnosis from unstructured medical texts using machine learning techniques
2026
- Organization of high-tech cardiac surgical care in the Far Eastern Federal District
2026
- Regional indices and total mortality in the Russian Federation: general trends of associations in 2005–2022 and the impact of COVID-19
2026
- Dynamics of mortality from breast cancer in the regional context of 2014–2023
2026
- On the issue of digital transformation of medical education: a study of universal and professional digital competencies of students
2026
Most cited papers
- Problems of assessment and analysis of mortality rates in the context of the rules of the International Statistical Classification of Diseases and Related Health Problems, Tenth Revision (ICD-10)
2023 · 10 citations
- Global trends in the digital transformation of the healthcare industry
2021 · 9 citations
- Population ageing and national healthcare systems sustainability. A review of world practices
2024 · 7 citations
- Implementation of artificial intelligence technologies in healthcare in Russia: results of 2024
2025 · 7 citations
- Perspectives on the application of large language models in healthcare
2024 · 5 citations