Jonathan L. King

4.0k total citations
104 papers, 3.0k citations indexed

About

Jonathan L. King is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Jonathan L. King has authored 104 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Molecular Biology, 80 papers in Genetics and 24 papers in Ecology. Recurrent topics in Jonathan L. King's work include Forensic and Genetic Research (74 papers), Molecular Biology Techniques and Applications (67 papers) and Genomics and Phylogenetic Studies (30 papers). Jonathan L. King is often cited by papers focused on Forensic and Genetic Research (74 papers), Molecular Biology Techniques and Applications (67 papers) and Genomics and Phylogenetic Studies (30 papers). Jonathan L. King collaborates with scholars based in United States, Saudi Arabia and Finland. Jonathan L. King's co-authors include Bruce Budowle, Jennifer D. Churchill, David H. Warshauer, Nicole M.M. Novroski, Bobby LaRue, August E. Woerner, Sarah E. Schmedes, Xiangpei Zeng, Jianye Ge and Carey Davis and has published in prestigious journals such as Nature, PLoS ONE and BMC Genomics.

In The Last Decade

Jonathan L. King

102 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan L. King United States 29 2.4k 2.3k 851 221 79 104 3.0k
Robert Lagacé United States 28 1.7k 0.7× 1.7k 0.7× 435 0.5× 159 0.7× 35 0.4× 47 2.2k
M. Fondevila Spain 26 1.6k 0.6× 2.0k 0.9× 326 0.4× 179 0.8× 27 0.3× 53 2.5k
Jonathan Whitaker United Kingdom 12 1.0k 0.4× 1.3k 0.6× 362 0.4× 162 0.7× 41 0.5× 15 1.6k
Jiangwei Yan China 25 1.2k 0.5× 1.2k 0.5× 192 0.2× 172 0.8× 39 0.5× 144 1.9k
J. M. Butler United States 9 716 0.3× 820 0.4× 249 0.3× 138 0.6× 58 0.7× 12 1.1k
Cynthia J. Sprecher United States 20 887 0.4× 869 0.4× 234 0.3× 76 0.3× 68 0.9× 26 1.2k
Jianye Ge United States 22 869 0.4× 1.1k 0.5× 205 0.2× 148 0.7× 18 0.2× 69 1.3k
Gillian Tully United Kingdom 15 710 0.3× 878 0.4× 184 0.2× 212 1.0× 110 1.4× 26 1.3k
Denise Syndercombe Court United Kingdom 22 1.0k 0.4× 949 0.4× 178 0.2× 117 0.5× 13 0.2× 54 1.4k
David J. Werrett United Kingdom 13 714 0.3× 816 0.4× 212 0.2× 75 0.3× 62 0.8× 28 1.3k

Countries citing papers authored by Jonathan L. King

Since Specialization
Citations

This map shows the geographic impact of Jonathan L. King'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 Jonathan L. King with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan L. King more than expected).

Fields of papers citing papers by Jonathan L. King

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan L. King. 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 Jonathan L. King. The network helps show where Jonathan L. King may publish in the future.

Co-authorship network of co-authors of Jonathan L. King

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan L. King. A scholar is included among the top collaborators of Jonathan L. King 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 Jonathan L. King. Jonathan L. King 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
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Gettings, Katherine B., Martin Bodner, Lisa A. Borsuk, et al.. (2023). Recommendations of the DNA Commission of the International Society for Forensic Genetics (ISFG) on short tandem repeat sequence nomenclature. Forensic Science International Genetics. 68. 102946–102946. 17 indexed citations
3.
Woerner, August E., Jonathan L. King, Xuewen Wang, et al.. (2022). Optimized variant calling for estimating kinship. Forensic Science International Genetics. 61. 102785–102785. 3 indexed citations
4.
Ge, Jianye, et al.. (2021). Precision DNA Mixture Interpretation with Single-Cell Profiling. Genes. 12(11). 1649–1649. 8 indexed citations
5.
Churchill, Jennifer D., et al.. (2021). A Continuous Statistical Phasing Framework for the Analysis of Forensic Mitochondrial DNA Mixtures. Genes. 12(2). 128–128. 9 indexed citations
6.
Ge, Jianye, et al.. (2021). Enhanced mixture interpretation with macrohaplotypes based on long-read DNA sequencing. International Journal of Legal Medicine. 135(6). 2189–2198. 10 indexed citations
7.
Guevara, Evelyn K., Jukka U. Palo, Jonathan L. King, et al.. (2020). Genetic assessment reveals no population substructure and divergent regional and sex-specific histories in the Chachapoyas from northeast Peru. PLoS ONE. 15(12). e0244497–e0244497. 6 indexed citations
8.
Novroski, Nicole M.M., Frank R. Wendt, Jonathan L. King, et al.. (2019). Copan microFLOQ® Direct Swab collection of bloodstains, saliva, and semen on cotton cloth. International Journal of Legal Medicine. 134(1). 45–54. 15 indexed citations
9.
Churchill, Jennifer D., Monika Stoljarova, Jonathan L. King, & Bruce Budowle. (2018). Massively parallel sequencing-enabled mixture analysis of mitochondrial DNA samples. International Journal of Legal Medicine. 132(5). 1263–1272. 37 indexed citations
10.
Zeng, Xiangpei, Maiko Takahashi, Jonathan L. King, et al.. (2018). Assessment of impact of DNA extraction methods on analysis of human remain samples on massively parallel sequencing success. International Journal of Legal Medicine. 133(1). 51–58. 16 indexed citations
11.
King, Jonathan L., Jennifer D. Churchill, Nicole M.M. Novroski, et al.. (2018). Increasing the discrimination power of ancestry- and identity-informative SNP loci within the ForenSeq™ DNA Signature Prep Kit. Forensic Science International Genetics. 36. 60–76. 36 indexed citations
12.
Novroski, Nicole M.M., et al.. (2016). Characterization of genetic sequence variation of 58 STR loci in four major population groups. Forensic Science International Genetics. 25. 214–226. 129 indexed citations
13.
Wendt, Frank R., David H. Warshauer, Xiangpei Zeng, et al.. (2016). Massively parallel sequencing of 68 insertion/deletion markers identifies novel microhaplotypes for utility in human identity testing. Forensic Science International Genetics. 25. 198–209. 28 indexed citations
14.
Wendt, Frank R., Xiangpei Zeng, Jennifer D. Churchill, Jonathan L. King, & Bruce Budowle. (2016). Analysis of Short Tandem Repeat and Single Nucleotide Polymorphism Loci From Single-Source Samples Using a Custom HaloPlex Target Enrichment System Panel. American Journal of Forensic Medicine & Pathology. 37(2). 99–107. 15 indexed citations
15.
Churchill, Jennifer D., Sarah E. Schmedes, Jonathan L. King, & Bruce Budowle. (2015). Evaluation of the Illumina ® Beta Version ForenSeq™ DNA Signature Prep Kit for use in genetic profiling. Forensic Science International Genetics. 20. 20–29. 174 indexed citations
16.
Warshauer, David H., Jennifer D. Churchill, Nicole M.M. Novroski, Jonathan L. King, & Bruce Budowle. (2015). Novel Y-Chromosome Short Tandem Repeat Variants Detected through the use of Massively Parallel Sequencing. Genomics Proteomics & Bioinformatics. 13(4). 250–257. 28 indexed citations
17.
Zeng, Xiangpei, Ranajit Chakraborty, Jonathan L. King, et al.. (2015). Selection of highly informative SNP markers for population affiliation of major US populations. International Journal of Legal Medicine. 130(2). 341–352. 21 indexed citations
18.
Ambers, Angie, et al.. (2014). Assessment of the role of DNA repair in damaged forensic samples. International Journal of Legal Medicine. 128(6). 913–921. 23 indexed citations
19.
Warshauer, David H., David Lin, Kumar L Hari, et al.. (2013). STRait Razor: A length-based forensic STR allele-calling tool for use with second generation sequencing data. Forensic Science International Genetics. 7(4). 409–417. 83 indexed citations
20.

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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