LabCompass

Jingfan Chen

Chemistry · Purdue University West Lafayette

Early career · publishing since 2018

Publications

28

Citations

459

Est. group size

Recurring co-author estimate

Active years

9

Publishing since 2018

Research summary
AI-generated

Jingfan Chen's work spans two connected areas of chemistry: designing magnetic and gold-coated nanoparticles for targeted drug delivery, brain-barrier crossing, and light- or magnetically-controlled therapeutics, and developing molecularly imprinted polymers (specialized selective adsorbent materials, often combined with metal-organic frameworks) to detect and remove drug residues and pollutants from environmental and food samples. The research combines materials chemistry, nanotechnology, and analytical methods, with applications ranging from neuroscience-related drug delivery to environmental water/food safety testing.

Magnetic and gold nanoparticles for drug deliveryMolecularly imprinted polymers for selective adsorptionMetal-organic framework compositesEnvironmental and food contaminant detection/removalNanoparticle-based neural stimulation and brain-targeted therapeutics

Publication output has been fairly steady over the past decade with a peak around 2022 (6 papers) and a modest decline in the most recent years, averaging about 3 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 3.2/year recently
172018: 4 publications182019: 1 publication192020: 2 publications202021: 4 publications212022: 6 publications6222023: 4 publications232024: 3 publications242025: 2 publications252026: 1 publication26
Recent publications
Publishes in
  • Advanced Composites and Hybrid Materials×3
  • ACS Applied Nano Materials×2
  • Food Biophysics×2
  • bioRxiv (Cold Spring Harbor Laboratory)×2
  • SSRN Electronic Journal×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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