Kimberly Sturk‐Andreaggi

1.1k total citations
33 papers, 632 citations indexed

About

Kimberly Sturk‐Andreaggi is a scholar working on Genetics, Molecular Biology and Archeology. According to data from OpenAlex, Kimberly Sturk‐Andreaggi has authored 33 papers receiving a total of 632 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Genetics, 25 papers in Molecular Biology and 11 papers in Archeology. Recurrent topics in Kimberly Sturk‐Andreaggi's work include Forensic and Genetic Research (31 papers), Molecular Biology Techniques and Applications (20 papers) and Forensic Anthropology and Bioarchaeology Studies (11 papers). Kimberly Sturk‐Andreaggi is often cited by papers focused on Forensic and Genetic Research (31 papers), Molecular Biology Techniques and Applications (20 papers) and Forensic Anthropology and Bioarchaeology Studies (11 papers). Kimberly Sturk‐Andreaggi collaborates with scholars based in United States, Sweden and Austria. Kimberly Sturk‐Andreaggi's co-authors include Charla Marshall, Michelle A. Peck, Timothy P. McMahon, J. Ring, Jodi A. Irwin, Walther Parson, Andreas Tillmar, Melissa Scheible, Rebecca S. Just and Marie Allen and has published in prestigious journals such as International Journal of Molecular Sciences, BMC Genomics and Electrophoresis.

In The Last Decade

Kimberly Sturk‐Andreaggi

33 papers receiving 609 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kimberly Sturk‐Andreaggi United States 16 517 451 144 136 30 33 632
Charla Marshall United States 14 477 0.9× 429 1.0× 153 1.1× 125 0.9× 25 0.8× 33 603
Catarina Xavier Austria 18 606 1.2× 623 1.4× 151 1.0× 133 1.0× 11 0.4× 35 830
Christina Strobl Austria 14 539 1.0× 572 1.3× 139 1.0× 75 0.6× 48 1.6× 20 709
Toni M. Diegoli United States 15 747 1.4× 573 1.3× 96 0.7× 260 1.9× 40 1.3× 23 881
Katja Anslinger Germany 16 443 0.9× 445 1.0× 119 0.8× 81 0.6× 17 0.6× 52 663
Deborah Polanskey United States 8 482 0.9× 498 1.1× 83 0.6× 124 0.9× 82 2.7× 11 660
Cristina Albarrán Spain 13 505 1.0× 318 0.7× 53 0.4× 230 1.7× 27 0.9× 16 698
Karen Davis United States 5 247 0.5× 241 0.5× 33 0.2× 68 0.5× 62 2.1× 5 443
Jessica L. Saunier United States 14 483 0.9× 308 0.7× 24 0.2× 184 1.4× 41 1.4× 19 556
Natsuko Mizuno Japan 15 482 0.9× 465 1.0× 99 0.7× 47 0.3× 14 0.5× 64 641

Countries citing papers authored by Kimberly Sturk‐Andreaggi

Since Specialization
Citations

This map shows the geographic impact of Kimberly Sturk‐Andreaggi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kimberly Sturk‐Andreaggi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kimberly Sturk‐Andreaggi more than expected).

Fields of papers citing papers by Kimberly Sturk‐Andreaggi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kimberly Sturk‐Andreaggi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kimberly Sturk‐Andreaggi. The network helps show where Kimberly Sturk‐Andreaggi may publish in the future.

Co-authorship network of co-authors of Kimberly Sturk‐Andreaggi

This figure shows the co-authorship network connecting the top 25 collaborators of Kimberly Sturk‐Andreaggi. A scholar is included among the top collaborators of Kimberly Sturk‐Andreaggi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kimberly Sturk‐Andreaggi. Kimberly Sturk‐Andreaggi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Tillmar, Andreas, Elise Anderson, Kimberly Sturk‐Andreaggi, et al.. (2024). Unearthing who and Y at Harewood Cemetery and inference of George Washington’s Y-chromosomal haplotype. iScience. 27(4). 109353–109353. 2 indexed citations
2.
Sturk‐Andreaggi, Kimberly, Martin Bodner, J. Ring, et al.. (2023). Complete Mitochondrial DNA Genome Variation in the Swedish Population. Genes. 14(11). 1989–1989. 1 indexed citations
3.
Anderson, Elise, et al.. (2023). Evaluating the Usefulness of Human DNA Quantification to Predict DNA Profiling Success of Historical Bone Samples. Genes. 14(5). 994–994. 8 indexed citations
4.
Sturk‐Andreaggi, Kimberly, J. Ring, Adam Ameur, et al.. (2022). The Value of Whole-Genome Sequencing for Mitochondrial DNA Population Studies: Strategies and Criteria for Extracting High-Quality Mitogenome Haplotypes. International Journal of Molecular Sciences. 23(4). 2244–2244. 6 indexed citations
5.
Zavala, Elena I., Kimberly Sturk‐Andreaggi, Ayinuer Aximu‐Petri, et al.. (2022). Ancient DNA Methods Improve Forensic DNA Profiling of Korean War and World War II Unknowns. Genes. 13(1). 129–129. 34 indexed citations
6.
7.
Marshall, Charla, Kimberly Sturk‐Andreaggi, Željana Bašić, et al.. (2020). A Forensic Genomics Approach for the Identification of Sister Marija Crucifiksa Kozulić. Genes. 11(8). 938–938. 9 indexed citations
8.
Marshall, Charla, Kimberly Sturk‐Andreaggi, J. Ring, Arne Dür, & Walther Parson. (2020). Pathogenic Variant Filtering for Mitochondrial Genome Haplotype Reporting. Genes. 11(10). 1140–1140. 6 indexed citations
9.
Sturk‐Andreaggi, Kimberly, et al.. (2020). Next generation sequencing of STR artifacts produced from historical bone samples. Forensic Science International Genetics. 49. 102397–102397. 5 indexed citations
10.
Kiesler, Kevin M., Kimberly Sturk‐Andreaggi, J. Ring, et al.. (2020). Platinum-Quality Mitogenome Haplotypes from United States Populations. Genes. 11(11). 1290–1290. 19 indexed citations
11.
Marshall, Charla, et al.. (2020). Mitochondrial DNA haplogrouping to assist with the identification of unknown service members from the World War II Battle of Tarawa. Forensic Science International Genetics. 47. 102291–102291. 8 indexed citations
12.
Peck, Michelle A., et al.. (2018). Developmental validation of a Nextera XT mitogenome Illumina MiSeq sequencing method for high-quality samples. Forensic Science International Genetics. 34. 25–36. 37 indexed citations
13.
14.
Ring, J., Kimberly Sturk‐Andreaggi, Michelle A. Peck, & Charla Marshall. (2017). A performance evaluation of Nextera XT and KAPA HyperPlus for rapid Illumina library preparation of long-range mitogenome amplicons. Forensic Science International Genetics. 29. 174–180. 34 indexed citations
15.
Sturk‐Andreaggi, Kimberly, Michelle A. Peck, Cecilie Boysen, et al.. (2017). AQME: A forensic mitochondrial DNA analysis tool for next-generation sequencing data. Forensic Science International Genetics. 31. 189–197. 30 indexed citations
16.
Peck, Michelle A., et al.. (2016). Concordance and reproducibility of a next generation mtGenome sequencing method for high-quality samples using the Illumina MiSeq. Forensic Science International Genetics. 24. 103–111. 38 indexed citations
17.
Just, Rebecca S., Melissa Scheible, Kimberly Sturk‐Andreaggi, et al.. (2014). Development of forensic-quality full mtGenome haplotypes: Success rates with low template specimens. Forensic Science International Genetics. 10. 73–79. 14 indexed citations
18.
Scheible, Melissa, et al.. (2013). A high-throughput Sanger strategy for human mitochondrial genome sequencing. BMC Genomics. 14(1). 881–881. 32 indexed citations
19.
Scheible, Melissa, et al.. (2011). Mitochondrial DNA control region variation in a Kuwaiti population sample. Forensic Science International Genetics. 5(4). e112–e113. 15 indexed citations
20.
Just, Rebecca S., Odile Loreille, D. Andrew Merriwether, et al.. (2010). Titanic's unknown child: The critical role of the mitochondrial DNA coding region in a re-identification effort. Forensic Science International Genetics. 5(3). 231–235. 16 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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