Jennifer A. McElhoe

678 total citations
18 papers, 488 citations indexed

About

Jennifer A. McElhoe is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Jennifer A. McElhoe has authored 18 papers receiving a total of 488 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 13 papers in Genetics and 7 papers in Ecology. Recurrent topics in Jennifer A. McElhoe's work include Molecular Biology Techniques and Applications (14 papers), Forensic and Genetic Research (13 papers) and Environmental DNA in Biodiversity Studies (5 papers). Jennifer A. McElhoe is often cited by papers focused on Molecular Biology Techniques and Applications (14 papers), Forensic and Genetic Research (13 papers) and Environmental DNA in Biodiversity Studies (5 papers). Jennifer A. McElhoe collaborates with scholars based in United States, Austria and Bangladesh. Jennifer A. McElhoe's co-authors include Mitchell M. Holland, Kateryna D. Makova, Ian M. Paul, Marcia Shu‐Wei Su, Benjamin Dickins, Thorfinn Sand Korneliussen, Anton Nekrutenko, Nicholas Stoler, Rasmus Nielsen and Francesca Chiaromonte and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Mitochondrion and Journal of Environmental Engineering.

In The Last Decade

Jennifer A. McElhoe

16 papers receiving 477 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jennifer A. McElhoe United States 10 407 299 104 78 28 18 488
Adelgunde Kratzer Switzerland 9 249 0.6× 216 0.7× 88 0.8× 16 0.2× 8 0.3× 17 377
M. Schürenkamp Germany 13 269 0.7× 312 1.0× 24 0.2× 6 0.1× 12 0.4× 23 398
A. Junge Germany 11 240 0.6× 291 1.0× 36 0.3× 18 0.2× 8 0.3× 17 367
Carey Davis United States 11 591 1.5× 575 1.9× 207 2.0× 7 0.1× 9 0.3× 16 735
Kate Anthony United States 9 178 0.4× 78 0.3× 9 0.1× 35 0.4× 69 2.5× 15 311
M.C. Vide Portugal 9 186 0.5× 274 0.9× 30 0.3× 8 0.1× 9 0.3× 27 307
David H. Warshauer United States 11 541 1.3× 522 1.7× 185 1.8× 7 0.1× 4 0.1× 14 632
J. Heizmann Germany 4 221 0.5× 245 0.8× 25 0.2× 60 0.8× 2 0.1× 4 310
Seung Bum Seo United States 9 335 0.8× 318 1.1× 105 1.0× 8 0.1× 4 0.1× 15 424
Kevin M. Kiesler United States 8 403 1.0× 361 1.2× 143 1.4× 9 0.1× 24 471

Countries citing papers authored by Jennifer A. McElhoe

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer A. McElhoe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jennifer A. McElhoe. 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 Jennifer A. McElhoe. The network helps show where Jennifer A. McElhoe may publish in the future.

Co-authorship network of co-authors of Jennifer A. McElhoe

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer A. McElhoe. A scholar is included among the top collaborators of Jennifer A. McElhoe 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 Jennifer A. McElhoe. Jennifer A. McElhoe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
McElhoe, Jennifer A., et al.. (2024). A Custom qPCR Assay to Simultaneously Quantify Human and Microbial DNA. Genes. 15(9). 1129–1129.
2.
McElhoe, Jennifer A., et al.. (2024). A New Tool for Probabilistic Assessment of MPS Data Associated with mtDNA Mixtures. Genes. 15(2). 194–194.
3.
McElhoe, Jennifer A., et al.. (2023). Impact of storage conditions and time on DNA yield from ammunition cartridges. International Journal of Legal Medicine. 137(4). 995–1006. 1 indexed citations
4.
McElhoe, Jennifer A., et al.. (2022). Routine Mitogenome MPS Analysis from 1 and 5 mm of Rootless Human Hair. Genes. 13(11). 2144–2144. 4 indexed citations
5.
McElhoe, Jennifer A., Peter Wilton, Walther Parson, & Mitchell M. Holland. (2022). Exploring statistical weight estimates for mitochondrial DNA matches involving heteroplasmy. International Journal of Legal Medicine. 136(3). 671–685. 6 indexed citations
6.
Holland, Mitchell M., et al.. (2022). MaSTR™: an effective probabilistic genotyping tool for interpretation of STR mixtures associated with differentially degraded DNA. International Journal of Legal Medicine. 136(2). 433–446. 6 indexed citations
7.
Holland, Charity A., et al.. (2020). Damage patterns observed in mtDNA control region MPS data for a range of template concentrations and when using different amplification approaches. International Journal of Legal Medicine. 135(1). 91–106. 12 indexed citations
8.
McElhoe, Jennifer A. & Mitchell M. Holland. (2020). Characterization of background noise in MiSeq MPS data when sequencing human mitochondrial DNA from various sample sources and library preparation methods. Mitochondrion. 52. 40–55. 14 indexed citations
9.
Holland, Mitchell M., et al.. (2018). Recovery of mtDNA from unfired metallic ammunition components with an assessment of sequence profile quality and DNA damage through MPS analysis. Forensic Science International Genetics. 39. 86–96. 25 indexed citations
10.
Holland, Mitchell M., Kateryna D. Makova, & Jennifer A. McElhoe. (2018). Deep-Coverage MPS Analysis of Heteroplasmic Variants within the mtGenome Allows for Frequent Differentiation of Maternal Relatives. Genes. 9(3). 124–124. 28 indexed citations
11.
Holland, Mitchell M., et al.. (2017). Evaluation of GeneMarker ® HTS for improved alignment of mtDNA MPS data, haplotype determination, and heteroplasmy assessment. Forensic Science International Genetics. 28. 90–98. 35 indexed citations
12.
Holland, Mitchell M., et al.. (2017). MPS analysis of the mtDNA hypervariable regions on the MiSeq with improved enrichment. International Journal of Legal Medicine. 131(4). 919–931. 13 indexed citations
13.
McElhoe, Jennifer A., et al.. (2017). Assessing heteroplasmic variant drift in the mtDNA control region of human hairs using an MPS approach. Forensic Science International Genetics. 32. 7–17. 39 indexed citations
14.
McElhoe, Jennifer A., et al.. (2016). Considering DNA damage when interpreting mtDNA heteroplasmy in deep sequencing data. Forensic Science International Genetics. 26. 1–11. 34 indexed citations
15.
Holland, Mitchell M. & Jennifer A. McElhoe. (2015). A custom software solution for forensic mtDNA analysis of MiSeq data. Forensic science international. Genetics supplement series. 5. e614–e616. 4 indexed citations
16.
Rebolledo‐Jaramillo, Boris, Marcia Shu‐Wei Su, Nicholas Stoler, et al.. (2014). Maternal age effect and severe germ-line bottleneck in the inheritance of human mitochondrial DNA. Proceedings of the National Academy of Sciences. 111(43). 15474–15479. 176 indexed citations
17.
McElhoe, Jennifer A., Mitchell M. Holland, Kateryna D. Makova, et al.. (2014). Development and assessment of an optimized next-generation DNA sequencing approach for the mtgenome using the Illumina MiSeq. Forensic Science International Genetics. 13. 20–29. 89 indexed citations
18.
McElhoe, Jennifer A. & Rachel A. Brennan. (2012). Effects of Chitin Purity and Proppant Loading on the Bioremediation of Chloroethenes. Journal of Environmental Engineering. 138(8). 862–872. 2 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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