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Current Respiratory Medicine Reviews

Journal Impact Factor: 0.3
Scopus Cite Score: 0.6

Indexed in: Scopus, ESCI, JCR

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Aims and Scope:
Current Respiratory Medicine Reviews publishes original research papers, frontier reviews/mini-reviews, drug clinical trial studies and guest-edited issues, dedicated to clinical research on all the latest advances in respiratory diseases and their related areas (i.e., pharmacology, pathogenesis, clinical care and therapeutics). The journal is essential reading for all clinicians and researchers in the fields of respiratory medicine and associated specialties. In addition, it also covers a wide variety of topics that show the relationship between respiratory and lung diseases, as well as cardiovascular and thoracic diseases.
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Editor-in-Chief:

  • Joseph VaronCollege of Medicine
    The University of Houston
    Houston, TX
    United States of America

ISSN: 1573-398X (Print)

eISSN: 1875-6387 (Online)

Special Issues With Active Call for Papers

Submission closes on: Feb 08, 2027
Pulmonary Mycobacterial Diseases: Epidemiology, Diagnosis, and Emerging Therapeutic Strategies

Pulmonary mycobacterial diseases, including tuberculosis (TB) and non-tuberculous mycobacterial (NTM) infections, remain major causes of respiratory morbidity and mortality worldwide. Despite substantial progress in public health interventions and antimicrobial therapy, these diseases continue to pose significant clinical and epidemiological challenges, driven by antimicrobial resistance, diagnostic delays, heterogeneous clinical presentations, and long-term pulmonary sequelae. The global burden of pulmonary mycobacterial infections is further amplified in vulnerable populations and in regions with limited access to advanced diagnostic... see more

Impact Factor: 0.3
Guest Editor(s): Dr. Parissa Farnia
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Submission closes on: Nov 27, 2026
Next-Generation Respiratory Imaging: Diagnostics, Analytics, and Automation

Respiratory diseases such as COPD (Chronic obstructive pulmonary disease), pneumonia, asthma, lung cancer, and post-COVID complications continue to be major global health burdens. Medical imaging modalities—such as CT, MRI, X-ray, PET, and Ultrasound—play a vital role in diagnosis, monitoring, and treatment planning. However, manual interpretation of images is time-consuming and prone to observer variability. The rapid evolution of AI, machine learning, deep learning, 3D imaging, radiomics, and computer-aided diagnosis (CAD) has opened new possibilities for... see more

Impact Factor: 0.3
Guest Editor(s): Dr. Abhishek Gupta
Co-Guest Editor(s): Dr. Shailendra Singh Rana
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