LabCompass

Philip S. Low

Medicine · Purdue University West Lafayette

OpenAlex ORCID
Established · publishing since 1973Rising activity
Erythrocyte Function and PathophysiologyFolate and B Vitamins ResearchNanoplatforms for cancer theranosticsCancer Research and TreatmentsBlood properties and coagulation

Publications

708

Citations

45,865

Est. group size

~24

Recurring co-author estimate

Active years

54

Publishing since 1973

Research summary
AI-generated

Philip S. Low's research focuses on designing molecules that can selectively find and bind to disease-related cells, such as cancer cells or inflamed immune cells, using targets like folate receptors and prostate-specific membrane antigen. These targeting molecules are then linked to imaging agents, drugs, or radiotherapy to help detect and treat diseases including various cancers, atherosclerosis, and autoimmune heart inflammation (myocarditis). The lab also works on engineered immune cells (CAR T cells) and fluorescent dyes that help surgeons visually identify tumor tissue during surgery.

Targeted drug and radiotherapy deliveryFolate receptor-based imaging and therapyFluorescence-guided cancer surgeryCAR T cell engineering and cancer immunotherapyMacrophage and inflammation imaging in disease

Publication output has been relatively steady over the past decade, with year-to-year fluctuation and a notable spike in 2023, but no clear long-term increase or decline.

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

Publication cadence
Publications per year over the last 10 years — averaging 24.0/year recently
2017: 24 publications172018: 34 publications182019: 28 publications192020: 28 publications202021: 16 publications212022: 20 publications222023: 63 publications63232024: 15 publications242025: 20 publications252026: 2 publications26
Recent publications
Publishes in
  • Cancer Research×25
  • Bioconjugate Chemistry×11
  • Oncotarget×9
  • Frontiers in Immunology×7
  • bioRxiv (Cold Spring Harbor Laboratory)×7
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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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