LabCompass

Mingji Dai

Chemistry · Purdue University West Lafayette

Mid career · publishing since 2006

Publications

167

Citations

4,388

Est. group size

~7

Recurring co-author estimate

Active years

21

Publishing since 2006

Research summary
AI-generated

Mingji Dai's research focuses on organic chemistry, particularly the total synthesis of complex natural products (molecules found in nature, often with biological activity) using innovative chemical reactions such as radical cyclizations and C–H functionalization (methods to build molecular frameworks by selectively activating carbon-hydrogen bonds). His work often connects new synthetic methods to biological applications, including cancer immunology and inflammatory disease treatment. Prospective students would likely engage in designing efficient routes to synthesize challenging natural molecules and exploring their biological properties.

Total synthesis of natural productsSynthetic organic chemistry methodsC–H functionalization and radical cyclization reactionsSkeletal editing and rearrangement strategiesChemistry-biology interface (cancer, inflammation, disease models)

Publication output has been relatively steady over the past decade, with some fluctuation (a peak around 2020-2021) and a modest decline in the most recent years.

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

Publication cadence
Publications per year over the last 10 years — averaging 8.8/year recently
2017: 13 publications172018: 8 publications182019: 5 publications192020: 17 publications17202021: 16 publications212022: 10 publications222023: 13 publications232024: 11 publications242025: 9 publications252026: 1 publication26
Recent publications
Publishes in
  • The Cambridge Structural Database×20
  • Journal of the American Chemical Society×18
  • Angewandte Chemie International Edition×6
  • Angewandte Chemie×6
  • Nature Communications×5
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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 20, 2026.

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