Kimberly Sturk‐Andreaggi

Armed Forces Institute of Pathology

Papers

3

Total Citations

146

H-Index

3

About

Kimberly Sturk-Andreaggi is a prominent forensic genetics researcher whose work centers on mitochondrial DNA (mtDNA) analysis and its applications in forensic science. Her research has made significant contributions to the development of high-quality population reference databases critical for interpreting mtDNA evidence in forensic casework. Her most impactful work, cited nearly 100 times, focused on the development and characterization of 588 forensic-quality full mitochondrial genome (mtGenome) haplotypes representing three U.S. populations — a landmark contribution that laid essential groundwork for implementing complete mtGenome profiling in forensic laboratories. Complementing this, her high-throughput Sanger sequencing strategy, cited 44 times, addressed a critical methodological gap by providing a scalable approach to generating complete mtGenome sequences that meet rigorous forensic data quality standards. She has also contributed to expanding global population reference data, including a study on mitochondrial control region variation in Korean populations. Sturk-Andreaggi's research sits at the intersection of population genetics and forensic methodology, helping to translate advances in sequencing technology into practical tools for criminal investigations and human identification. Her work has meaningfully advanced the field's capacity to use mitochondrial genomics in complex forensic cases involving degraded or limited biological samples.

Research Focus

Key Achievements

3
H-Index
3
Papers
146
Total Citations
49
Avg Citations/Paper
🏆 Most Cited Paper
Full mtGenome reference data: Development and characterization of 588 forensic-quality haplotypes representing three U.S. populations
99 citations · 2014
📈 Most Prolific Year: 2014 (2 Papers)
🤝 Key Collaborators: 23
🏛 Institutions: Armed Forces Institute of Pathology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago