LabCompass

Mingjie Shen

Environmental Science · Purdue University West Lafayette

Mid career · publishing since 2006

Publications

46

Citations

1,629

Est. group size

~1

Recurring co-author estimate

Active years

20

Publishing since 2006

Research summary
AI-generated

Mingjie Shen's research focuses on identifying and tracking emerging environmental pollutants, such as liquid crystal monomers from electronic waste, light stabilizers, bisphenol analogues, and rubber-derived chemicals like 6PPD-quinone, in settings ranging from indoor dust and sewage sludge to rivers, sediments, and human urine. The work combines chemical detection methods with studies of pollutant sources, environmental transport, degradation, and potential human health risks. Note that a few listed publications (e.g., on vehicle control systems, software analysis tools, and clinical trials) appear unrelated to this environmental chemistry focus and may reflect name overlap with other authors.

Emerging environmental pollutantsE-waste and liquid crystal monomer contaminationEndocrine-disrupting chemicalsPollutant detection and analytical chemistryHuman exposure to industrial chemicals

Publication output grew from a low base around 2017-2018 to a peak of about 6-7 papers per year between 2021 and 2023, followed by a slight decline to 3 per year in 2024-2025.

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

Publication cadence
Publications per year over the last 10 years — averaging 3.6/year recently
2017: 1 publication172018: 3 publications182019: 5 publications192020: 3 publications202021: 7 publications7212022: 6 publications222023: 6 publications232024: 3 publications242025: 3 publications2526
Recent publications
Publishes in
  • Environmental Science & Technology×10
  • The Science of The Total Environment×3
  • Environmental Science & Technology Letters×2
  • Environment International×2
  • PubMed×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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