Charles E. Lawrence Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

High Impact

Researcher

John Brown University

faculty

44 h-index 155 pubs 10,220 cited

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Biography and Research Information

OverviewAI-generated summary

Dr. Charles E. Lawrence's research spans diverse fields, from molecular biology to earth sciences. His work investigates RNA and protein synthesis mechanisms alongside geological and paleoclimatological inquiries. He applies genomics and phylogenetic approaches in some projects, while also studying protein structure and dynamics. Lawrence's publication record reflects this range, including studies using Bayesian models to combine age inferences from radiocarbon dating and stratigraphic alignment. His work also appears in publications that address the Cenozoic history of atmospheric CO2 and the pacing of late Pleistocene glacial cycles. Additionally, he contributed to the development of "TIMEOR," a web-based tool for uncovering temporal regulatory mechanisms from multi-omics data and methods for improving transcriptome assemblies using phylogenetic data.

Lawrence's current research focuses on interdisciplinary approaches, linking molecular processes with large-scale environmental changes.

Metrics

  • h-index: 44
  • Publications: 155
  • Citations: 10,220

Selected Publications

  • Supporting information for "Global and regional Pleistocene benthic δ18O stacks on age models with and without astronomical tuning" (2026) DOI
  • Supporting information for "Global and regional Pleistocene benthic δ18O stacks on age models with and without astronomical tuning" (2025) DOI
  • SEDIMENTATION RATE VARIABILITY FROM A GLOBAL DATABASE OF RADIOCARBON DATED OCEAN SEDIMENT CORES (2024) DOI
  • Efficient Estimation of Climate State and Its Uncertainty Using Kalman Filtering with Application to Policy Thresholds and Volcanism (2023) DOI
  • Regional benthic δ18O stacks for the “41-kyr world” - an Atlantic-Pacific divergence between 1.8-1.9 Ma (2023) DOI
  • Incorporating Within-Host Diversity in Phylogenetic Analyses for Detecting Clusters of New HIV Diagnoses (2022) DOI

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