LabCompass
Early career · publishing since 2020

Publications

23

Citations

426

Est. group size

~6

Recurring co-author estimate

Active years

6

Publishing since 2020

Research summary
AI-generated

Kunjie Fan works at the intersection of computational biology and machine learning, developing tools to analyze genetic and protein interaction data. Their work includes predicting how combinations of genes affect cells (relevant to cancer treatment and CRISPR gene-editing screens), inferring protein functions using network-based deep learning, and applying AI to text-mining tasks like finding drug-drug interaction information in scientific literature. This research supports drug discovery and helps identify potential therapeutic targets, such as for chemo-resistant breast cancer.

Computational gene combination effect predictionCRISPR-Cas9 screening analysisProtein-protein interaction and function prediction via graph/network methodsMachine learning and deep learning for biomedical dataCodon usage and genomic sequence analysis

Publication output was minimal before 2020, peaked with 7 papers in 2020, and has since settled into a steady pace of roughly 3-5 publications per year through 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 3.0/year recently
1718192020: 7 publications7202021: 1 publication212022: 3 publications222023: 5 publications232024: 5 publications242025: 2 publications2526
Recent publications
Publishes in
  • Frontiers in Genetics×3
  • BMC Bioinformatics×2
  • Briefings in Bioinformatics×2
  • bioRxiv (Cold Spring Harbor Laboratory)×2
  • International Journal of Computational Biology and Drug Design×2
Similar researchers
By research-topic overlap
  • Yang Huo

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  • Lijun Cheng

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  • Min Wu

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  • Hojin Yoo

    Biochemistry, Genetics and Molecular Biology · The Ohio State University

  • Yijie Wang

    Biochemistry, Genetics and Molecular Biology · Indiana University

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 19, 2026.

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