Jon H. Wetton

3.1k total citations · 1 hit paper
47 papers, 1.9k citations indexed

About

Jon H. Wetton is a scholar working on Genetics, Molecular Biology and Ecology. According to data from OpenAlex, Jon H. Wetton has authored 47 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Genetics, 23 papers in Molecular Biology and 16 papers in Ecology. Recurrent topics in Jon H. Wetton's work include Genetic diversity and population structure (22 papers), Forensic and Genetic Research (21 papers) and Animal Behavior and Reproduction (13 papers). Jon H. Wetton is often cited by papers focused on Genetic diversity and population structure (22 papers), Forensic and Genetic Research (21 papers) and Animal Behavior and Reproduction (13 papers). Jon H. Wetton collaborates with scholars based in United Kingdom, United States and Hungary. Jon H. Wetton's co-authors include David T. Parkin, David Walters, Mark A. Jobling, Karsten Neumann, Celia A. May, Pedro J. Cordero, Terry Burke, Erkki Korpimäki, Jürgen Wiehn and Pasi Tolonen and has published in prestigious journals such as Nature, Nucleic Acids Research and PLoS ONE.

In The Last Decade

Jon H. Wetton

45 papers receiving 1.8k citations

Hit Papers

Demographic study of a wi... 1987 2026 2000 2013 1987 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jon H. Wetton United Kingdom 21 1.1k 1.0k 898 446 121 47 1.9k
Judith A. Smith United Kingdom 16 941 0.9× 720 0.7× 1.2k 1.3× 204 0.5× 153 1.3× 32 2.0k
Arild Husby Sweden 28 750 0.7× 848 0.8× 895 1.0× 461 1.0× 204 1.7× 60 2.0k
Vittorio Baglione Spain 22 771 0.7× 1.0k 1.0× 473 0.5× 168 0.4× 127 1.0× 49 1.5k
Lee A. Rollins Australia 23 717 0.7× 644 0.6× 614 0.7× 259 0.6× 151 1.2× 80 1.6k
Stanislav Bureš Czechia 21 961 0.9× 1.2k 1.2× 1.0k 1.2× 257 0.6× 273 2.3× 35 2.2k
Lewis G. Spurgin United Kingdom 24 695 0.7× 920 0.9× 1.0k 1.1× 322 0.7× 150 1.2× 52 2.2k
Thomas Borge Norway 16 690 0.7× 770 0.8× 1.2k 1.3× 341 0.8× 190 1.6× 17 1.8k
A. Christa Mateman Netherlands 21 925 0.9× 1.0k 1.0× 390 0.4× 165 0.4× 128 1.1× 40 1.6k
Jocelyn Poissant Canada 21 589 0.6× 652 0.6× 1.0k 1.1× 232 0.5× 180 1.5× 54 1.8k
Oddmund Kleven Norway 29 1.4k 1.3× 1.5k 1.5× 658 0.7× 125 0.3× 201 1.7× 95 2.2k

Countries citing papers authored by Jon H. Wetton

Since Specialization
Citations

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

Fields of papers citing papers by Jon H. Wetton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jon H. Wetton. 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 Jon H. Wetton. The network helps show where Jon H. Wetton may publish in the future.

Co-authorship network of co-authors of Jon H. Wetton

This figure shows the co-authorship network connecting the top 25 collaborators of Jon H. Wetton. A scholar is included among the top collaborators of Jon H. Wetton 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 Jon H. Wetton. Jon H. Wetton 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.
Wetton, Jon H., et al.. (2025). Evaluating genome-wide and targeted forensic sequencing approaches to kinship determination. Forensic Science International Genetics. 76. 103228–103228. 2 indexed citations
2.
Eales, James, Xiaoguang Xu, Rita Neumann, et al.. (2025). Multiple origins and phenotypic implications of an extended human pseudoautosomal region shown by analysis of the UK Biobank. The American Journal of Human Genetics. 112(4). 927–939.
3.
Jobling, Mark A., et al.. (2025). Rapid on-site universal vertebrate species identification via multi-barcode nanopore sequencing. PLoS ONE. 20(11). e0336383–e0336383.
4.
Neumann, Rita, et al.. (2023). Defining cat mitogenome variation and accounting for numts via multiplex amplification and Nanopore sequencing. Forensic Science International Genetics. 67. 102944–102944. 2 indexed citations
5.
Beasley, Jordan, et al.. (2021). Massively parallel sequencing and capillary electrophoresis of a novel panel of falcon STRs: Concordance with minisatellite DNA profiles from historical wildlife crime. Forensic Science International Genetics. 54. 102550–102550. 3 indexed citations
6.
Wetton, Jon H., et al.. (2019). Mitigating the effects of reference sequence bias in single-multiplex massively parallel sequencing of the mitochondrial DNA control region. Forensic Science International Genetics. 40. 9–17. 7 indexed citations
7.
Hallast, Pille, et al.. (2019). Massively parallel sequencing of autosomal STRs and identity-informative SNPs highlights consanguinity in Saudi Arabia. Forensic Science International Genetics. 43. 102164–102164. 27 indexed citations
8.
Ogden, Rob, et al.. (2019). Defining end user requirements for a field-based molecular detection system for wildlife forensic investigations. Forensic Science International. 301. 231–239. 11 indexed citations
10.
Wetton, Jon H., et al.. (2017). Extensive geographical and social structure in the paternal lineages of Saudi Arabia revealed by analysis of 27 Y-STRs. Forensic Science International Genetics. 33. 98–105. 32 indexed citations
12.
Jobling, Mark A., et al.. (2016). Application of a mitochondrial DNA control region frequency database for UK domestic cats. Forensic Science International Genetics. 27. 149–155. 4 indexed citations
13.
Wetton, Jon H., et al.. (2010). Analysis and interpretation of mixed profiles generated by 34 cycle SGM Plus® amplification. Forensic Science International Genetics. 5(5). 376–380. 4 indexed citations
14.
Dawnay, Nick, Rob Ogden, Jon H. Wetton, Roger S. Thorpe, & Ross McEwing. (2008). Genetic data from 28 STR loci for forensic individual identification and parentage analyses in 6 bird of prey species. Forensic Science International Genetics. 3(2). e63–e69. 30 indexed citations
15.
Wetton, Jon H., et al.. (2004). An extremely sensitive species-specific ARMs PCR test for the presence of tiger bone DNA. Forensic Science International. 140(1). 139–145. 26 indexed citations
16.
Wetton, Jon H., et al.. (2003). Mitochondrial profiling of dog hairs. Forensic Science International. 133(3). 235–241. 48 indexed citations
17.
Korpimäki, Erkki, Celia A. May, David T. Parkin, Jon H. Wetton, & Jürgen Wiehn. (2000). Environmental‐ and parental condition‐related variation in sex ratio of kestrel broods. Journal of Avian Biology. 31(2). 128–134. 76 indexed citations
18.
Wetton, Jon H. & David T. Parkin. (1997). A suite of falcon single‐locus minisatellite probes: a powerful alternative to DNA fingerprinting. Molecular Ecology. 6(2). 119–128. 11 indexed citations
19.
May, Celia A. & Jon H. Wetton. (1991). DNA fingerprinting by specific priming of concatenated oligonucleotides. Nucleic Acids Research. 19(16). 4557–4557. 2 indexed citations
20.
Wetton, Jon H., et al.. (1989). Improved gentic fingerprinting using RNA probes. Nucleic Acids Research. 17(14). 5867–5867. 32 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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