Editor-in-Chief’s Note
The Journal of Immunology Research and Innovation (JIRI) advances rigorous, reusable immunology across discovery, computation, translation, and clinical practice. Our scope ensures authors can align their work with our mission and reviewers can evaluate submissions with clarity and efficiency.
What We Publish in Immunology Journal
- Original Research Articles — mechanistic, computational, translational, and clinical studies of immunity.
- Reviews and Tutorials — critical syntheses, meta-analyses, and method primers on domains like immunotherapy, vaccines, and computational pipelines.
- Short Communications — impactful preliminary results, datasets, benchmarks, and negative results that improve practice.
- Perspectives/Editorials — forward-looking commentary on methods, ethics, and innovation.
Core Domains
- Clinical & Translational Immunology — human studies, immune monitoring, biomarkers, endpoints, and clinical trials.
- Immunotherapy — checkpoint inhibitors, cellular therapies, combinations, resistance, and safety (immunotoxicology).
- Vaccines — platforms, adjuvants, correlates of protection, and population heterogeneity.
- Autoimmunity — tolerance, pathogenesis, precision phenotyping, and therapeutic innovation.
- Computational & Systems Immunology — multi-omics integration, network models, causal inference, and ML/AI.
- In Vitro & 3D Immune Modeling — organoids, microphysiological systems, and validation against in vivo data.
- Biomarkers & Diagnostics — discovery to clinical qualification and regulatory context of use.
In-Scope Expectations
Submissions must pose a clear, testable claim about immune function or method performance; describe study design; justify sample size; report data provenance and QC; and quantify uncertainty. Interdisciplinary work linking mechanisms with patient or population data is strongly encouraged.
Out of Scope
- Promotional content lacking reproducible evidence.
- Studies without proper approvals/consent where required.
- Claims based solely on in silico results without validation.
Positioning for Discoverability & Impact
- Use consistent terminology (e.g., translational immunology, immune heterogeneity) in titles and headings.
- Deposit FAIR datasets and code with DOIs; provide minimal reproducible examples for models.
- Specify population and endpoints precisely to enable meta-analysis and clinical translation.
- Connect mechanism to potential diagnostic or therapeutic implications without overstating evidence.
Next Steps
Consult Author Guidelines, assemble a data/code availability statement, and prepare interpretable figures with units and uncertainty. If fit is uncertain, email a 150–200 word synopsis for pre-submission guidance.
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