LabCompass

Karen T. Liby

Biochemistry, Genetics and Molecular Biology · Indiana University

Established · publishing since 1999Rising activity

Publications

265

Citations

10,404

Est. group size

Recurring co-author estimate

Active years

27

Publishing since 1999

Research summary
AI-generated

Karen T. Liby studies how specially designed small molecules can prevent or treat cancer, focusing on synthetic compounds such as triterpenoids and retinoid X receptor (RXR) agonists. Her work examines how these agents shape the tumor's surrounding immune environment and influence signaling pathways like NRF2/KEAP1, often using mouse models of lung, breast, skin, and NF1-associated cancers. A key theme is chemoprevention—stopping cancer before it fully develops—and combining these compounds with existing therapies.

Cancer chemopreventionSynthetic triterpenoids and RXR agonistsTumor immune microenvironmentNRF2/KEAP1 redox signalingPreclinical mouse cancer models

Publication activity has been steady across most years with a sharp one-year spike in 2023, and recent output remains active at roughly 10 papers per year.

Generated by claude-opus-4-8 from public bibliographic data · Jul 9, 2026

In context
Among 1,724 established Biochemistry, Genetics and Molecular Biology PIs within our index
Citations: 10,404cohort median 3,385
h-index: 47cohort median 27
Publications / year (recent): 18.8cohort median 4.6

Typically publishes in teams of ~6 · 14% small-team papers (≤3 authors) · across 44 venues

Publication cadence
Publications per year over the last 10 years — averaging 18.8/year recently
2017: 16 publications172018: 7 publications182019: 13 publications192020: 9 publications202021: 7 publications212022: 7 publications222023: 66 publications66232024: 11 publications242025: 10 publications2526
Recent publications
Publishes in
  • Cancer Research×31
  • Scientific Reports×7
  • The Journal of Immunology×5
  • Cancer Prevention Research×3
  • Cancers×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 Sep 1, 2026.

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