Match tier Listed
Presence Current · Arkansas
Last published 2024
Sources OpenAlex · ORCID
Refreshed 2026-08-08

Kevin Chappell

Researcher

Also affiliated: University of Mary Hardin–Baylor (2019); Baylor Scott & White Health (2018); Rice University (2019)

Faculty Researcher

5 h-index 10 pubs 335 cited

  • Humans
  • Proteomics
  • Protein Processing, Post-Translational
  • Genomics
  • Animals
  • Signal Transduction
  • Triple Negative Breast Neoplasms
  • Histones
  • Software
  • Algorithms
  • Proteome
  • Epigenomics
  • High-Throughput Nucleotide Sequencing
  • Transcriptome
  • Cholagogues and Choleretics

Biography and Research Information

OverviewAI-generated summary

Kevin Chappell's research focuses on the integration of multi-omics data to understand complex biological systems, particularly in the context of triple-negative breast cancer. He has developed computational tools, such as PTMViz, designed for analyzing and visualizing post-translational modification data, specifically focusing on histone modifications. This work aims to elucidate the intricate cross-talk between different post-translational modifications and their regulatory roles.

His scholarship includes publications on integrated multi-omics analyses that identify correlated regulatory features in triple-negative breast cancer. Chappell has a h-index of 5 and has authored 10 publications with 322 citations. His collaborations include researchers from the University of Arkansas for Medical Sciences, such as Charity L. Washam and Stephanie D. Byrum, with whom he has co-authored multiple publications.

Metrics

  • h-index: 5
  • Publications: 10
  • Citations: 335

Selected Publications

  • Understanding PTM Cross Talk Through a Visualization Tool, PTMViz (2024)
    Methods in molecular biology DOI OpenAlex
  • Multi-omics data integration reveals correlated regulatory features of triple negative breast cancer (2021)
    Molecular Omics 17 citations DOI OpenAlex
  • PTMViz: a tool for analyzing and visualizing histone post translational modification data (2021)
    BMC Bioinformatics 7 citations DOI OpenAlex
  • Multi-omics data integration considerations and study design for biological systems and disease (2020)
    Molecular Omics 217 citations DOI OpenAlex

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Collaboration Network

16 Collaborators 5 Institutions 1 Country

Top Collaborators

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