John Harting

546 total citations
10 papers, 244 citations indexed

About

John Harting is a scholar working on Molecular Biology, Genetics and Genetics. According to data from OpenAlex, John Harting has authored 10 papers receiving a total of 244 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Genetics. Recurrent topics in John Harting's work include Genomics and Phylogenetic Studies (4 papers), Neurogenetic and Muscular Disorders Research (2 papers) and Glycosylation and Glycoproteins Research (1 paper). John Harting is often cited by papers focused on Genomics and Phylogenetic Studies (4 papers), Neurogenetic and Muscular Disorders Research (2 papers) and Glycosylation and Glycoproteins Research (1 paper). John Harting collaborates with scholars based in United States, Netherlands and United Kingdom. John Harting's co-authors include Charles H. Cannon, P. Kessler, Alexander Hoischen, Emily Farrow, Christian Gilissen, Michael A. Eberle, Isabelle Thiffault, Stuart A. Scott, Dalia Kasperavičiūtė and Nina Gonzaludo and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and Genome Research.

In The Last Decade

John Harting

10 papers receiving 233 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Harting United States 7 128 46 45 37 37 10 244
Hu Nie China 10 266 2.1× 23 0.5× 99 2.2× 46 1.2× 31 0.8× 13 396
Łukasz Banasiak Poland 12 136 1.1× 133 2.9× 29 0.6× 19 0.5× 190 5.1× 23 388
David C. McFarland Australia 12 113 0.9× 151 3.3× 24 0.5× 146 3.9× 18 0.5× 23 426
Kamalakar Chatla United States 9 128 1.0× 23 0.5× 94 2.1× 32 0.9× 90 2.4× 20 245
Srinidhi Varadharajan Norway 8 123 1.0× 4 0.1× 71 1.6× 33 0.9× 30 0.8× 9 233
David C. Tack United States 13 378 3.0× 22 0.5× 106 2.4× 27 0.7× 88 2.4× 15 489
Björn E. Langer Germany 6 161 1.3× 48 1.0× 92 2.0× 42 1.1× 49 1.3× 7 269
Jingliang Kang China 12 137 1.1× 14 0.3× 96 2.1× 95 2.6× 21 0.6× 20 363
Elodie Prince France 7 125 1.0× 32 0.7× 40 0.9× 29 0.8× 55 1.5× 14 250
Jason Shiotsugu United States 8 179 1.4× 55 1.2× 88 2.0× 42 1.1× 13 0.4× 9 322

Countries citing papers authored by John Harting

Since Specialization
Citations

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

Fields of papers citing papers by John Harting

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John Harting. 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 John Harting. The network helps show where John Harting may publish in the future.

Co-authorship network of co-authors of John Harting

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

All Works

10 of 10 papers shown
1.
Tsai, Yu‐Chih, et al.. (2024). Single-Molecule Sequencing of the <em>C9orf72</em> Repeat Expansion in Patient iPSCs. BIO-PROTOCOL. 14(1352). e5060–e5060. 3 indexed citations
2.
Harting, John, Emily Farrow, Isabelle Thiffault, et al.. (2023). Comprehensive SMN1 and SMN2 profiling for spinal muscular atrophy analysis using long-read PacBio HiFi sequencing. The American Journal of Human Genetics. 110(2). 240–250. 36 indexed citations
3.
Gonzaludo, Nina, John Harting, Stuart A. Scott, et al.. (2023). An efficient genotyper and star-allele caller for pharmacogenomics. Genome Research. 33(1). 61–70. 29 indexed citations
4.
Scott, Erick R., Yao Yang, Mariana Rodrigues Botton, et al.. (2022). Long‐read HiFi sequencing of NUDT15 : Phased full‐gene haplotyping and pharmacogenomic allele discovery. Human Mutation. 43(11). 1557–1566. 7 indexed citations
5.
Mangin, Antoine, Yu‐Chih Tsai, Mathilde Nizon, et al.. (2021). Robust Detection of Somatic Mosaicism and Repeat Interruptions by Long-Read Targeted Sequencing in Myotonic Dystrophy Type 1. International Journal of Molecular Sciences. 22(5). 2616–2616. 28 indexed citations
7.
Bowman, Brett, et al.. (2014). A Novel Analytical Pipeline for de novo Haplotype Phasing and Amplicon Analysis using SMRT® Sequencing Technology.. Journal of Biomolecular Techniques JBT. 25. 1 indexed citations
8.
Ruan, Jue, et al.. (2012). Reference-Free Comparative Genomics of 174 Chloroplasts. PLoS ONE. 7(11). e48995–e48995. 3 indexed citations
9.
Cannon, Charles H., et al.. (2010). Assembly free comparative genomics of short‐read sequence data discovers the needles in the haystack. Molecular Ecology. 19(s1). 147–161. 19 indexed citations
10.
Cannon, Charles H., et al.. (2007). Developing Conservation Priorities Based on Forest Type, Condition, and Threats in a Poorly Known Ecoregion: Sulawesi, Indonesia. Biotropica. 39(6). 747–759. 94 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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