LabCompass

Nada Shaker

Medicine · The Ohio State University

Early career · publishing since 2019Rising activity

Publications

121

Citations

283

Est. group size

~2

Recurring co-author estimate

Active years

8

Publishing since 2019

Research summary
AI-generated

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.

Dermatopathology (skin cancer and lymphoma diagnosis)AI and machine learning in cancer detectionMelanoma and lymph node metastasisRare tumor case studies (soft tissue, uterine, gastrointestinal)Molecular and genetic markers in cancer prognosis

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

Publication cadence
Publications per year over the last 10 years — averaging 20.2/year recently
17182019: 1 publication192020: 2 publications202021: 1 publication212022: 17 publications222023: 27 publications232024: 38 publications38242025: 15 publications252026: 4 publications26
Recent publications
Publishes in
  • American Journal of Dermatopathology×33
  • International Journal of Surgical Pathology×15
  • Laboratory Investigation×5
  • Diagnostic Cytopathology×4
  • Journal of Pathology Informatics×3
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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.

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