Diagnostic Pathology is an open access, peer-reviewed, online journal that considers research in surgical and clinical pathology, immunology, and biology, with a special focus on cutting-edge approaches in diagnostic pathology and tissue-based therapy. Read more here.
Aims and Scope
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Articles
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Expression of RSK4, CD44 and MMP-9 is upregulated and positively correlated in metastatic ccRCC
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HER2 expression and relevant clinicopathological features in esophageal squamous cell carcinoma in a Chinese population
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IGF2BP3 (IMP3) expression in angiosarcoma, epithelioid hemangioendothelioma, and benign vascular lesions
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Downregulation of miR-484 is associated with poor prognosis and tumor progression of gastric cancer
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An unusual case of Acanthamoeba Polyphaga and Pseudomonas Aeruginosa keratitis
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The value of CDX2 and cytokeratins 7 and 20 expression in differentiating colorectal adenocarcinomas from extraintestinal gastrointestinal adenocarcinomas: cytokeratin 7-/20+ phenotype is more specific than CDX2 antibody
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Quantitative comparison of immunohistochemical staining measured by digital image analysis versus pathologist visual scoring
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Antinuclear antibodies and their detection methods in diagnosis of connective tissue diseases: a journey revisited
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Grading of prostatic adenocarcinoma: current state and prognostic implications
Top reviewers of 2019
We recognize that our peer reviewers play a pivotal role in maintaining the standard of the journal by critically evaluating our submissions. The editors and staff of Diagnostic Pathology thank our reviewers for their valuable time and efforts. As a token of our appreciation, we would like to publicly recognize the top peer reviewers of 2019.
Jamshid Abdul-Ghafar, French Medical Institute for Mothers and Children, Afghanistan
Aileen Azari-Yam, Tehran Institute of Medical Sciences, Iran
Ahmet Aydogan, Cukurova University, Turkey
Shikha Saini, University of Illinois at Chicago, USA
Joon Hyuk Choi, Yeungnam University School of Medicine, South Korea
Marius Lund-Iversen, Universitetet i Oslo, Norway
Yoko Matsuda, Tokyo Metropolitan Geriatric Hospital, Japan
Li Bian, University of Colorado, USA
Maria Raffaella Ambrosio, University of Siena, Italy
Vicente Marco Molina, Hospital Quirónsalud Barcelona, Spain
Artificial Intelligence in Cancer Imaging and Diagnosis
New tools and technologies such as computational and digital pathology, molecular diagnostics and artificial intelligence (AI) are making their way into advanced clinical diagnostics, providing some unique opportunities to incorporate these tools into the evolving health care landscape. We're proud to present a cross journal series with articles that would give the viewer a perspective of the current trends and future prospects of AI primarily in clinical diagnostics. Read here.
Dr Anil Parwani, Editor-in-Chief
"Diagnostic Pathology has emerged as a premier journal that aims to publish cutting edge articles focused on diagnostic pathology with an emphasis on novel morphological and molecular findings that make an impact on diagnosis of neoplastic and non-neoplastic diseases. The goal of the editorial board and our team is to highlight the cross-roads of diagnostic pathology and new tools and technologies that are exciting, challenging and making an impact on the practice of pathology. We will continue to bring updates in the field of diagnostic pathology by way of novel and interesting case reports, research and original articles and a series of key review articles by experts in the field that will emphasize the new developments which are disease-specific and highlight contemporary and novel technologies that are changing the practice of diagnostic pathology. This is an exciting time in pathology as we are confronted with a new frontier of science and technology which continues to evolve and accelerate the discipline of diagnostic pathology and we wish to take our readers with us on this exciting journey. We want to collaborate with our reviewers and our readers to make Diagnostic Pathology a premier and trusted source of new and exciting developments in the field of diagnostic pathology."
Dr Anil Parwani, Ohio State University
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Annual Journal Metrics
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Speed
59 days to first decision for reviewed manuscripts only
49 days to first decision for all manuscripts
121 days from submission to acceptance
16 days from acceptance to publicationCitation Impact
2.528 - 2-year Impact Factor
2.211 - 5-year Impact Factor
0.864 - Source Normalized Impact per Paper (SNIP)
0.804 - SCImago Journal Rank (SJR)Usage
501,780 Downloads
139 Altmetric Mentions
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