About the Journal

Research Insights & Reviews: Pathology is a peer-reviewed journal dedicated to publishing high-quality original research articles, comprehensive reviews, and selected high-impact reprints in the domain of pathology and laboratory medicine. The journal emphasizes studies that advance mechanistic insights, diagnostic innovation, molecular characterization, and translational applications in human and comparative pathology. It provides an interdisciplinary platform for researchers, clinicians, and biomedical scientists to integrate histopathology, molecular pathology, cytology, immunopathology, and computational methodologies, promoting improvements in diagnostic precision, disease prognostication, and patient-centered clinical outcomes.

Published tri-annually, the journal is available in both print and electronic formats, ensuring wide accessibility to the research community.

Scope:

The journal welcomes high-quality submissions in all aspects of pathology and laboratory medicine. Areas of interest include, but are not limited to:

  • Histopathology and Cytopathology: advanced tissue and cellular diagnostics, morphological analysis, immunohistochemistry, staining, and imaging modalities.
  • Molecular and Genomic Pathology: genomics, transcriptomics, epigenomics, proteomics, and multi-omics approaches for disease profiling.
  • Immunopathology: immune profiling, flow cytometry, immune-related disease mechanisms, and immunodiagnostic innovations.
  • Hematopathology: hematologic malignancies, blood disorders, bone marrow analysis, and molecular hematology diagnostics.
  • Oncologic Pathology: tumour classification, biomarker discovery, molecular oncology, and cancer prognostication.
  • Infectious and Microbial Pathology: pathogen detection, host–pathogen interactions, and emerging infectious disease diagnostics.
  • Experimental and Translational Pathology: in vitro, in vivo, and ex vivo disease models, mechanistic studies, and bench-to-bedside research.
  • Digital and Computational Pathology: AI-assisted diagnostics, bioinformatics, computational pathology, and advanced image analysis.
  • Quality, Laboratory Management, and Education: workflow optimization, accreditation, biosafety, laboratory governance, training, and continuing professional development.