Publications
121
Citations
283
Est. group size
~2
Recurring co-author estimate
Active years
8
Publishing since 2019
Nada Shaker works in diagnostic and dermatologic pathology, focusing on skin and soft tissue tumors such as melanoma, cutaneous lymphomas, and other rare skin and organ neoplasms. A recurring interest is applying artificial intelligence and computational image analysis to help detect tumor spread (for example, lymph node metastases from melanoma) and improve cancer diagnosis and prognosis. Much of the work involves detailed case studies and cohort analyses of unusual tumor presentations and genetic markers relevant to cancer classification and outcomes.
Publication output was minimal before 2022 but rose sharply from 2022 to 2024, followed by a decline in 2025-2026, suggesting a recent surge rather than steady long-term growth.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- AI in melanoma pathology: From tumor risk stratification to lymph node metastasis detection
Journal of Pathology Informatics · 2026
- Tumor-to-Tumor Metastasis of Merkel Cell Carcinoma to Warthin Tumor
International Journal of Surgical Pathology · 2026
- Erratum: Cutaneous Involvement by Diffuse Large B-Cell Lymphoma With Dual B-Cell and T-Cell Clonality and Heavy Admixed T-Cell Infiltrate: Answer
American Journal of Dermatopathology · 2026
- Erratum: Navigating the Complexity of Dual Clonality in Cutaneous Lymphoma: Challenge
American Journal of Dermatopathology · 2026
- Artificial Intelligence and Convolutional Neural Networks–Driven Detection of Micro and Macro Metastasis of Cutaneous Melanoma to the Lymph Nodes
American Journal of Dermatopathology · 2025
- BRCA1-Associated Protein-1 Inactivated Melanoma Arising in a Pre-existing Nevus With ALK Fusion and Low Tumor Mutational Burden
American Journal of Dermatopathology · 2025
- Thiotepa-Induced Toxicity: A Clinical Mimic of Stevens–Johnson Syndrome and Toxic Epidermal Necrolysis Featuring Severe Mucositis, Diffuse Dusky Discoloration, and Skin Sloughing
American Journal of Dermatopathology · 2025
- 1568 Therapeutic Potential of Novel STAT3 Inhibitor Compounds in CCl4-Induced Liver Fibrosis: Experimental Integration of Biomolecular Dynamic Modeling, Histopathological Features, and Gene Expression Analyses
Laboratory Investigation · 2025
- 682 Integrating Immune Metrics for Enhanced Colorectal Cancer Prognosis in the Era of AI
Laboratory Investigation · 2025
- 1382 Artificial Intelligence-Driven Detection of Micro and Macro Metastasis of Cutaneous Melanoma to Lymph Nodes
Laboratory Investigation · 2025
- 1060 Uterine Adhesiolysis Specimens for Asherman Syndrome Rarely Exhibit Morphological Evidence of Intrauterine Adhesions, Suggesting the Syndrome is Best Viewed as a Clinical-based Diagnosis Rather Than as a Pathological-based Diagnosis
Laboratory Investigation · 2025
- 224 Prediction of Specific Survival and Clinicopathological Impact of PALB2 Mutations and Pathogenic/Likely Pathogenic Variants (PV/LPV) in Breast Cancer: A Cohort Study of 81 Patients
Laboratory Investigation · 2025
- 41 Colonic Schistosomiasis Masquerading as Multiple Colonic Polyps on Colonoscopy: A Rare and Challenging Clinical Encounter
American Journal of Clinical Pathology · 2025
- 42 Composite intestinal adenoma-microcarcinoid: A comprehensive update
American Journal of Clinical Pathology · 2025
- 40 Giant Cystic Adenomatoid Tumor of the Uterus: A Comprehensive Case Study of Uncommon Presentation of 15 cm Tumor with Predominant Cystic Growth Pattern
American Journal of Clinical Pathology · 2025
- American Journal of Dermatopathology×33
- International Journal of Surgical Pathology×15
- Laboratory Investigation×5
- Diagnostic Cytopathology×4
- Journal of Pathology Informatics×3
- Catherine A Ulman
Medicine · The Ohio State University
- Catherine Chung
Medicine · The Ohio State University
- Jordyn Puccio
Medicine · The Ohio State University
- Judith Lin
Medicine · The Ohio State University
- Lawrence A. Mark
Medicine · Indiana University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 19, 2026.
Claim or correct this profile