LabCompass

Daisy Unsihuay

Chemistry · Purdue University West Lafayette

OpenAlex ORCID
Mid career · publishing since 2015
Mass Spectrometry Techniques and ApplicationsMetabolomics and Mass Spectrometry StudiesAnalytical Chemistry and ChromatographyAnalytical chemistry methods developmentAdvanced Proteomics Techniques and Applications

Publications

32

Citations

787

Est. group size

~3

Recurring co-author estimate

Active years

12

Publishing since 2015

Research summary
AI-generated

Daisy Unsihuay works in analytical chemistry, focusing on mass spectrometry-based methods to study biological molecules such as lipids and metabolites, including imaging techniques that can distinguish structurally similar molecules (isomers) within tissue samples. Recent work also includes developing rapid detection tests for drugs such as fentanyl and xylazine, and analytical methods for clinical laboratory measurements like urine calcium and phosphate. Earlier work involved catalyst development for industrial chemical reactions, indicating a shift over time toward biomedical and clinical analytical chemistry.

Mass spectrometry imagingLipid and metabolite analysisClinical and forensic drug detection assaysAnalytical method developmentCatalysis (earlier work)

Publication output has fluctuated over the last decade, rising to a peak around 2020 before becoming more modest and variable in recent years, averaging under three papers per year over the last five years.

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

Publication cadence
Publications per year over the last 10 years — averaging 2.8/year recently
17182019: 3 publications192020: 7 publications7202021: 6 publications212022: 2 publications222023: 5 publications232024: 2 publications242025: 4 publications252026: 1 publication26
Recent publications
Publishes in
  • ChemRxiv×5
  • Angewandte Chemie International Edition×3
  • Analytical Chemistry×3
  • Angewandte Chemie×3
  • Analytica Chimica Acta×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 20, 2026.

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