Biomaterials Translational
Q1 Journal
Journal
Country
China
Asiatic Region
Subject Area and Category
Engineering
└
Biochemistry (medical)
Q1
└
Biomaterials
Q1
└
Biomedical Engineering
Q1
Publisher
SJR 2025
1.713
Q1
SJR Score
H-Index
25
Citations / Doc (2yr)
8.40
Total Docs. (latest)
21
Total Citations (3yr)
818
Publication type
Journals
ISSN
2096112X
Coverage
2020-2025
Journal Rank
#1,923
Subject Categories
Biochemistry (medical)
Q1
Biomaterials
Q1
Biomedical Engineering
Q1
Medicine (miscellaneous)
Q1
Subject Areas
Aims & Scope
Biomaterials Translational (EISSN: 2096-112X)is an international journal publishing research at the interface of translational medicine, biomaterials science and engineering.
The journal publishes original, high-quality, peer-reviewed papers including original research articles, reviews, viewpoints and comments.
Translational medicine is an interdisciplinary field that applies emerging new technologies and sciences to the prevention, diagnosis and treatment of human disease, with a particular focus on animal disease models in the application of biomaterials for treatments.
Thus, the journal highlights breakthrough discoveries in basic science and clinical application of biomaterials, as well as other significant findings related to the translation of biomaterials.
The scope of the journal covers a wide range of physical, biological, and chemical sciences that underpin the design of biomaterials and the clinical disciplines in which they are used.
This journal is oriented towards materials scientists and chemists who are interested in the clinical applications of novel biomaterials as well as clinicians from all disciplines who are interested in materials sciences.
Abstracting & Indexing
Scopus
Google Scholar
Detailed Metrics
| Total Docs. (latest) | 21 |
| Total Docs. (3 years) | 98 |
| Total Refs. | 1,535 |
| Total Citations (3 years) | 818 |
| Citable Docs. (3 years) | 68 |
| Citations / Doc. (2 years) | 8.40 |
| Ref. / Doc. | 73.10 |
| % Female | 44.6% |
Metrics Visualization
Latest year data vs 3-year cumulative figures
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