LabCompass

Junshui Ma

Medicine · The Ohio State University

Established · publishing since 1999Rising activity

Publications

87

Citations

6,464

Est. group size

Recurring co-author estimate

Active years

28

Publishing since 1999

Research summary
AI-generated

Junshui Ma's work centers on applying computational and data-analysis methods to cancer research, particularly identifying biomarkers (such as PD-L1 and tumor mutational burden) that help predict which patients respond to immunotherapy drugs like pembrolizumab. More recent work extends into using artificial intelligence, including large language models and reinforcement learning, to support clinical research tasks such as data extraction from oncology trials and treatment decision-making. This research is relevant to students interested in the intersection of oncology, biomarker discovery, and applied machine learning in healthcare.

Cancer immunotherapy biomarkers (PD-L1, tumor mutational burden)Clinical trial data analysis in oncologyApplied machine learning and large language models in healthcareComparative effectiveness research using electronic health recordsBioanalytical assay development

Publication output has been variable but shows an overall increase in recent years, rising from low single digits in 2017-2019 to a peak of 10 in 2024, with continued output projected into 2025-2026.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 5.2/year recently
2017: 3 publications172018: 3 publications182019: 1 publication192020: 9 publications202021: 4 publications212022: 1 publication222023: 5 publications232024: 10 publications10242025: 5 publications252026: 5 publications26
Recent publications
Publishes in
  • Journal of Clinical Oncology×7
  • Journal of Chemical Information and Modeling×3
  • arXiv (Cornell University)×3
  • Cancer Research×2
  • Pathology×2
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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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