About the journal
BioMed Target Journal is an open-access journal published by QAASPA Publisher in Iraq, publishing in english. It is listed in DOAJ according to the sources read. Declared review time at DOAJ: 6 weeks. Facts are reproduced as recorded at their sources with their capture dates; PublishLens indicators are available after sign-in.
Basic facts
- Publisher
- QAASPA Publisher
- ISSN
- 2960-1428
- Country
- Iraq
- Languages
- english
- Access
- Open access
- Articles in DOAJ
- 46
- Declared review time
- 6 weeks
- Declared peer-review model
- double_blind
- Official website
- https://qaaspa.com/index.php/bmtj/
Index listings
- DOAJ · 2024-08-14
- Indexing
- DOAJ
- APC
- —
- Declared review time (DOAJ)
- 6 weeks — journal-declared only (not measured)
- Activity (OpenAlex)
- Active — latest works 2025
- PublishLens list status
- Shown after sign-in
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- Choose your university and rank below ↓
Methodology signals (dated facts from their sources)
Details of the evaluation under the published methodology are shown to signed-in users (free).
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Descriptive metadata from public sources (DOAJ, OpenAlex, PubMed) as of the capture date shown — contains no assessment or judgment.
Articles in DOAJ
46
Most recent article
2 months ago
Average review time (journal-declared via DOAJ)
6weeks
Works in OpenAlex
42
Last recorded publication year
2025
h-index
3
i10-index
0
From OpenAlex open data (CC0).
Editorial & policy10
- Last DOAJ review date
- 2024-08-14
- Added to DOAJ
- 2024-08-14
- Declared plagiarism screening
- Declared
- Other fees beyond APC
- No
- Observed digital preservation (Keepers registry)— snapshot 2026-09-04
- PKP PN
- Editorial board
- Official page ↗
- Open references deposited at Crossref
- 100%
- ORCID iDs in current deposits
- 100%
- Enrolled in Crossref Similarity Check
- ✓
- Deposits licence metadata at Crossref
- ✓
- Peer-review policy
- View policy
Identity & continuity1
- Source type
- journal
Classification12
Subjects (DOAJ)
LCC codes
Subject areas
- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 and COVID-19 Research
- Radiomics and Machine Learning in Medical Imaging
- Radiomics and Machine Learning in Medical Imaging
- Computational Drug Discovery Methods
- Food Safety and Hygiene
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities
- Diabetes and associated disorders
Show all subjects (50)
- Metabolism and Genetic Disorders
- Maternal and Perinatal Health Interventions
- COVID-19 Clinical Research Studies
- Sperm and Testicular Function
- Urinary Tract Infections Management
- Neonatal Health and Biochemistry
- Health and Medical Research Impacts
- Child Nutrition and Water Access
- Food Safety and Hygiene
- Diabetes and associated disorders
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities
- Metabolism and Genetic Disorders
- Computational Drug Discovery Methods
- Neonatal Health and Biochemistry
- Health and Medical Research Impacts
- Urinary Tract Infections Management
- Maternal and Perinatal Health Interventions
- Sperm and Testicular Function
- COVID-19 Clinical Research Studies
- Child Nutrition and Water Access
- Schizophrenia research and treatment
- Protein Structure and Dynamics
- Advanced biosensing and bioanalysis techniques
- Bone health and osteoporosis research
- Cervical Cancer and HPV Research
- Antifungal resistance and susceptibility
- Cancer Immunotherapy and Biomarkers
- Advanced biosensing and bioanalysis techniques
- Breast Cancer Treatment Studies
- Protein Structure and Dynamics
- COVID-19 and Mental Health
- Breast Cancer Treatment Studies
- MicroRNA in disease regulation
- Global Maternal and Child Health
- Cancer Immunotherapy and Biomarkers
- Schizophrenia research and treatment
- Global Maternal and Child Health
- Antifungal resistance and susceptibility
- COVID-19 and Mental Health
- Cervical Cancer and HPV Research
- MicroRNA in disease regulation
- Bone health and osteoporosis research
Keywords (DOAJ)
- medical sciences
- biochemistry
- biology
- pharmacology
- nursing
- artificial intelligence
Community confirmations — what users saw in MJL or Scopus Sources; not platform verification and never part of any score.
The journal's record in other sources:Web of Science MJLDOAJ