LabCompass

Nuwan Pannilawithana

Chemistry · Purdue University West Lafayette

Mid career · publishing since 2016Rising activity

Publications

13

Citations

99

Est. group size

~4

Recurring co-author estimate

Active years

11

Publishing since 2016

Research summary
AI-generated

Nuwan Pannilawithana's work focuses on developing new chemical reactions catalyzed by transition metals such as ruthenium and cobalt, particularly ways to form and break carbon-hydrogen and carbon-carbon bonds to build complex organic molecules like carbazoles, xanthenes, and benzofurans. This research combines experimental chemistry with computational studies to understand how these catalytic reactions work at a molecular level, with potential applications ranging from organic synthesis to drug development (as seen in a related PROTAC study for leukemia treatment). The research is largely methodological, aiming to create more efficient and selective ways to construct molecules used in pharmaceuticals and other chemical products.

Transition-metal catalysis (ruthenium, cobalt)C–H bond activation and functionalizationCarbon-carbon bond formation/activation reactionsReaction mechanism studies (experimental and computational)Synthesis of heterocyclic and aromatic compounds

Publication output has been irregular but has increased in recent years, rising from sporadic single papers earlier in the decade to multiple papers per year by 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 1.6/year recently
2017: 1 publication1718192020: 1 publication202021: 2 publications21222023: 2 publications232024: 1 publication242025: 3 publications3252026: 2 publications26
Recent publications
Publishes in
  • ACS Catalysis×3
  • Journal of the American Chemical Society×2
  • ChemRxiv×2
  • Journal of Oil Palm Research×1
  • Organometallics×1
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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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