LabCompass
Mid career · publishing since 2003Rising activity

Publications

158

Citations

2,937

Est. group size

Recurring co-author estimate

Active years

23

Publishing since 2003

Research summary
AI-generated

Na Li's work focuses on the genetics and molecular biology of cancers, especially colorectal, ovarian, breast, and liver cancers. Research topics include inherited gene mutations (such as BRCA and Lynch syndrome genes) that raise cancer risk, gene expression profiling to find diagnostic and prognostic markers, and studies linking clinical or metabolic factors (like blood glucose) to cancer outcomes. The publication record also includes work on computational tools, such as AI-based test case generation, suggesting some involvement in bioinformatics or software-related methods alongside biomedical research.

Hereditary cancer genetics (BRCA, Lynch syndrome)Colorectal cancer risk and prognosisGene expression profiling and biomarker discoveryOvarian, breast, and liver cancer diagnosticsCancer epidemiology using large databases (e.g., SEER)

Publication output has grown substantially over the last decade, rising from just 1 paper in 2017 to a peak of 56 in 2023, with continued high activity (21 publications) in early 2025.

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

Publication cadence
Publications per year over the last 10 years — averaging 18.8/year recently
2017: 1 publication172018: 8 publications182019: 9 publications192020: 14 publications202021: 12 publications212022: 11 publications222023: 56 publications56232024: 6 publications242025: 21 publications2526
Recent publications
Publishes in
  • npj Breast Cancer×5
  • Research Square×5
  • Clinical Cancer Research×3
  • PubMed×3
  • Journal of Medical Genetics×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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