John Buckleton

8.3k total citations
231 papers, 5.4k citations indexed

About

John Buckleton is a scholar working on Genetics, Molecular Biology and Ecology. According to data from OpenAlex, John Buckleton has authored 231 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 163 papers in Genetics, 94 papers in Molecular Biology and 29 papers in Ecology. Recurrent topics in John Buckleton's work include Forensic and Genetic Research (142 papers), Molecular Biology Techniques and Applications (71 papers) and Genetic diversity and population structure (29 papers). John Buckleton is often cited by papers focused on Forensic and Genetic Research (142 papers), Molecular Biology Techniques and Applications (71 papers) and Genetic diversity and population structure (29 papers). John Buckleton collaborates with scholars based in New Zealand, Australia and United States. John Buckleton's co-authors include Jo‐Anne Bright, James M. Curran, Duncan Taylor, Peter Gill, Jonathan Whitaker, I.W. Evett, C.M. Triggs, Nicholas M. Brown, Christine S. Flaxman and Christopher M. Triggs and has published in prestigious journals such as Nature, Genetics and Science Advances.

In The Last Decade

John Buckleton

224 papers receiving 5.1k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
John Buckleton 4.0k 2.9k 961 765 355 231 5.4k
Duncan Taylor 2.1k 0.5× 1.5k 0.5× 663 0.7× 329 0.4× 146 0.4× 147 2.8k
I.W. Evett 2.1k 0.5× 922 0.3× 213 0.2× 735 1.0× 489 1.4× 106 3.7k
Mechthild Prinz 3.5k 0.9× 2.7k 0.9× 638 0.7× 118 0.2× 577 1.6× 96 4.6k
Christophe Champod 1.9k 0.5× 342 0.1× 173 0.2× 526 0.7× 367 1.0× 128 3.9k
James Robertson 857 0.2× 723 0.3× 339 0.4× 105 0.1× 333 0.9× 172 2.7k
Yun S. Song 3.1k 0.8× 2.6k 0.9× 354 0.4× 323 0.4× 101 0.3× 150 5.5k
Susan R. Wilson 771 0.2× 1.1k 0.4× 264 0.3× 174 0.2× 343 1.0× 122 3.7k
Thomas L. Vincent 1.1k 0.3× 756 0.3× 273 0.3× 105 0.1× 14 0.0× 91 3.3k
Paul Marjoram 2.4k 0.6× 1.6k 0.6× 188 0.2× 520 0.7× 31 0.1× 97 4.9k
Vincenzo L. Pascali 1.6k 0.4× 652 0.2× 105 0.1× 73 0.1× 359 1.0× 99 2.6k

Countries citing papers authored by John Buckleton

Since Specialization
Citations

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

Fields of papers citing papers by John Buckleton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Buckleton

This figure shows the co-authorship network connecting the top 25 collaborators of John Buckleton. A scholar is included among the top collaborators of John Buckleton 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 Buckleton. John Buckleton 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.
Buckleton, John, et al.. (2024). Extending the discussion on inconsistency in forensic decisions and results. Journal of Forensic Sciences. 69(4). 1125–1137. 1 indexed citations
2.
Buckleton, John, Taryn O. Hall, Jo‐Anne Bright, et al.. (2024). Estimation of population-specific values of theta for PowerPlex Y23 profiles. Forensic Science International Genetics. 75. 103175–103175.
3.
Buckleton, John, James M. Curran, Kevin Cheng, et al.. (2023). A diagnosis of the primary difference betweenEuroForMixandSTRmix™. Journal of Forensic Sciences. 69(1). 40–51. 4 indexed citations
4.
Kelly, Hannah, et al.. (2023). An Investigation into Compound Likelihood Ratios for Forensic DNA Mixtures. Genes. 14(3). 714–714. 1 indexed citations
5.
Bright, Jo‐Anne, et al.. (2023). Estimation of population specific values of theta for sequence-based STR profiles. Forensic Science International Genetics. 68. 102973–102973. 2 indexed citations
6.
7.
Bright, Jo‐Anne, et al.. (2019). The interpretation of forensic DNA profiles: an historical perspective. Journal of the Royal Society of New Zealand. 50(2). 211–225. 4 indexed citations
8.
Bright, Jo‐Anne, Duncan Taylor, Catherine McGovern, et al.. (2016). Developmental validation of STRmix™, expert software for the interpretation of forensic DNA profiles. Forensic Science International Genetics. 23. 226–239. 103 indexed citations
9.
Cooper, Stuart L., Catherine McGovern, Jo‐Anne Bright, Duncan Taylor, & John Buckleton. (2014). Investigating a common approach to DNA profile interpretation using probabilistic software. Forensic Science International Genetics. 16. 121–131. 19 indexed citations
10.
Buckleton, John, Jo‐Anne Bright, Duncan Taylor, et al.. (2014). Helping formulate propositions in forensic DNA analysis. Science & Justice. 54(4). 258–261. 23 indexed citations
11.
Bright, Jo‐Anne, et al.. (2011). Characterising stutter in forensic STR multiplexes. Forensic Science International Genetics. 6(1). 58–63. 103 indexed citations
12.
Bright, Jo‐Anne, et al.. (2011). A comparison of stochastic variation in mixed and unmixed casework and synthetic samples. Forensic Science International Genetics. 6(2). 180–184. 28 indexed citations
13.
14.
Whitaker, Jonathan, et al.. (2009). Validation and development of interpretation guidelines for low copy number (LCN) DNA profiling in New Zealand using the AmpFlSTR® SGM Plus™ multiplex. Forensic Science International Genetics. 4(5). 305–310. 47 indexed citations
15.
Bright, Jo‐Anne, John Buckleton, & Catherine McGovern. (2009). Allele frequencies for the four major sub-populations of New Zealand for the 15 Identifiler loci. Forensic Science International Genetics. 4(2). e65–e66. 8 indexed citations
16.
Hicks, Tacha, Franco Taroni, James M. Curran, et al.. (2009). Use of DNA profiles for investigation using a simulated national DNA database: Part I. Partial SGM Plus® profiles. Forensic Science International Genetics. 4(4). 232–238. 18 indexed citations
17.
Curran, James M., Simon J. Walsh, & John Buckleton. (2008). Empirical support for the reliability of DNA evidence interpretation in Australia and New Zealand. Australian Journal of Forensic Sciences. 40(2). 99–108. 5 indexed citations
18.
Buckleton, John, James M. Curran, & Peter Gill. (2007). Towards understanding the effect of uncertainty in the number of contributors to DNA stains. Forensic Science International Genetics. 1(1). 20–28. 65 indexed citations
19.
Walsh, Simon J., et al.. (2006). Population data from sub-populations of the Northern Territory of Australia for 15 autosomal short tandem repeat (STR) loci. Forensic Science International. 171(2-3). 237–249. 16 indexed citations
20.
Evett, I.W. & John Buckleton. (1990). The interpretation of glass evidence. A practical approach. Journal of the Forensic Science Society. 30(4). 215–223. 38 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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