LabCompass

Publications

228

Citations

4,310

Est. group size

~14

Recurring co-author estimate

Active years

39

Publishing since 1988

Research summary
AI-generated

Gang Peng works at the intersection of genetics, molecular biology, and data analysis, developing computational and statistical methods to interpret genomic, metabolic, and epigenetic data. Much of the work applies these methods to health-related questions such as improving newborn screening, detecting DNA methylation patterns, measuring biological aging, and estimating cancer risk from inherited mutations. The publication record spans a wide range of collaborative biomedical projects.

Genomic and metabolomic data analysisDNA methylation and biological aging (epigenetics)Newborn and clinical genetic screeningCancer genomics and risk predictionStatistical and computational methods for biomedical data

Publication activity grew steadily through the decade and peaked sharply in 2023, with output remaining high in subsequent years.

Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026

Publication cadence
Publications per year over the last 10 years — averaging 20.6/year recently
2017: 7 publications172018: 13 publications182019: 9 publications192020: 14 publications202021: 15 publications212022: 16 publications222023: 45 publications45232024: 21 publications242025: 18 publications252026: 3 publications26
Recent publications
Publishes in
  • eLife×7
  • International Journal of Radiation Oncology*Biology*Physics×6
  • bioRxiv (Cold Spring Harbor Laboratory)×6
  • Research Square×6
  • arXiv (Cornell University)×4

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 11, 2026.

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