Biomedical Materials and Devices

Aims & Scope

The journal serves as a resource for high impact innovations involving biomedical materials and devices, including recent developments in processing, benchtop evaluation, application-specific testing, clinical translation, and regulatory considerations.

In addition to fundamental research involving new types of metallic, ceramic, polymeric, and natural biomaterials, the journal considers manufacturing innovations and clinical translation of devices for the management of circulatory, digestive, endocrine, immune, muscular, nervous, renal, and skin conditions.

The journal also serves as a resource for advances in the chemical, mechanical, and biological performance of biomedical materials and devices.

The journal addresses interdisciplinary topics that lie at the forefront of research into new types of biomedical materials and devices, including nanostructured biomaterials, biosensors, drug delivery devices, medical electronics, engineered tissues, and assistive devices.

Research themes would include, but are not limited to: - Materials & devices for the diagnosis and/or treatment of circulatory, digestive, endocrine, immune, muscular, nervous, renal, and skin conditions; - Materials & devices for drug development, controlled release, and vaccine delivery; - Micro/nano fluidic, microelectromechanical (MEMs) devices, and nanoelectromechanical (NEMs) devices for point of care and other applications; - Processing, characterization, manufacturing, and modeling of biomedical materials; - Microstructured and nanostructured sensors and other electronic devices for medical applications; and - Regulatory considerations related to new types of medical devices

View Aims & Scope

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Metrics & Ranking

SJR (SCImago Journal Rank)

Year	Value
2024	0.572

Quartile

Year	Value
2024	Q2

Journal Rank

Year	Value
2024	10157

Journal Citation Indicator

Year	Value
2024	333

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Chemistry, Engineering and Materials Science, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Drawbacks of Artificial Intelligence and Their Potential Solutions in the Healthcare Sector

  Citation: 255

  Authors: Bangul, Hajira, Ayatullah, Sanjay, Abdul, Jawad, Saad

• Degradation of Plastics Waste and Its Effects on Biological Ecosystems: A Scientific Analysis and Comprehensive Review

  Citation: 88

  Authors: Subhashish, G. T. N., P. S. S. Anjaneya, A. V. Phani, K.

• A Novel Approach Utilizing Machine Learning for the Early Diagnosis of Alzheimer's Disease

  Citation: 60

  Authors: Khandaker Mohammad Mohi, Mir Jafikul, Md Ashraf, Sunil

• A Review of Biomedical Devices: Classification, Regulatory Guidelines, Human Factors, Software as a Medical Device, and Cybersecurity

  Citation: 51

  Authors: Felix, Santosh Kumar, Salil

• Lipid-Based Drug Delivery System (LBDDS): An Emerging Paradigm to Enhance Oral Bioavailability of Poorly Soluble Drugs

  Citation: 47

  Authors: Roohi, Pankaj, Dilip Kumar, Pankaj Kumar

• A Review on Saliva-Based Health Diagnostics: Biomarker Selection and Future Directions

  Citation: 46

  Authors: Swati, Mesk, Remya, Sujoy, Haritha, Rong, Russell P., Mathew T.

• Overcoming Challenges and Innovations in Orthopedic Prosthesis Design: An Interdisciplinary Perspective

  Citation: 41

  Authors: Pranav G., Namuna, Shilpa, Maria Fernanda, Shubham, Akash Kumar, Paolo, Priyank, Aman, Ajay Vikram

• A Comprehensive Review on the Green Synthesis of Nanoparticles: Advancements in Biomedical and Environmental Applications

  Citation: 38

  Authors: Dharmalingam, Jamith Basha Abdul, Natchimuthu, Ravisankar, Latha, Manickam, K. J.

• Machine Learning Based Diabetes Detection Model for False Negative Reduction

  Citation: 36

  Authors: Md. Ashraf, Md. Manowarul, Md. Alamin, Md. Al Amin, Arnisha, Sunil, Maisha

• Nanotechnology-Enabled Biosensors: A Review of Fundamentals, Materials, Applications, Challenges, and Future Scope

  Citation: 30

  Authors: Randa

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