Duncan Taylor

4.5k total citations
147 papers, 2.8k citations indexed

About

Duncan Taylor is a scholar working on Genetics, Molecular Biology and Ecology. According to data from OpenAlex, Duncan Taylor has authored 147 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 105 papers in Genetics, 83 papers in Molecular Biology and 35 papers in Ecology. Recurrent topics in Duncan Taylor's work include Forensic and Genetic Research (95 papers), Molecular Biology Techniques and Applications (59 papers) and Environmental DNA in Biodiversity Studies (33 papers). Duncan Taylor is often cited by papers focused on Forensic and Genetic Research (95 papers), Molecular Biology Techniques and Applications (59 papers) and Environmental DNA in Biodiversity Studies (33 papers). Duncan Taylor collaborates with scholars based in Australia, New Zealand and Switzerland. Duncan Taylor's co-authors include John Buckleton, Jo‐Anne Bright, James M. Curran, Adrian Linacre, Tacha Hicks, Damien Abarno, Christophe Champod, Bas Kokshoorn, Alex Biedermann and Oliva Handt and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Journal of Theoretical Biology.

In The Last Decade

Duncan Taylor

144 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Duncan Taylor Australia 30 2.1k 1.5k 663 329 164 147 2.8k
Jo‐Anne Bright New Zealand 28 2.0k 0.9× 1.5k 1.0× 566 0.9× 336 1.0× 49 0.3× 110 2.5k
Jonathan Whitaker United Kingdom 12 1.3k 0.6× 1.0k 0.7× 362 0.5× 88 0.3× 108 0.7× 15 1.6k
Kaye N. Ballantyne Australia 23 1.2k 0.6× 1.0k 0.7× 356 0.5× 67 0.2× 112 0.7× 53 2.0k
Bas Kokshoorn Netherlands 17 709 0.3× 392 0.3× 325 0.5× 54 0.2× 120 0.7× 44 1.2k
Tacha Hicks Switzerland 18 553 0.3× 247 0.2× 104 0.2× 126 0.4× 101 0.6× 42 863
Hinda Haned Netherlands 19 851 0.4× 617 0.4× 211 0.3× 187 0.6× 17 0.1× 24 1.0k
J.A. Lambert United Kingdom 14 613 0.3× 231 0.2× 52 0.1× 246 0.7× 130 0.8× 28 1.2k
Marjan Sjerps Netherlands 17 303 0.1× 159 0.1× 76 0.1× 169 0.5× 103 0.6× 60 843
Jonathan L. King United States 29 2.3k 1.1× 2.4k 1.6× 851 1.3× 41 0.1× 24 0.1× 104 3.0k
Corina C.G. Benschop Netherlands 16 561 0.3× 463 0.3× 182 0.3× 87 0.3× 14 0.1× 38 735

Countries citing papers authored by Duncan Taylor

Since Specialization
Citations

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

Fields of papers citing papers by Duncan Taylor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Duncan Taylor

This figure shows the co-authorship network connecting the top 25 collaborators of Duncan Taylor. A scholar is included among the top collaborators of Duncan Taylor 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 Duncan Taylor. Duncan Taylor 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.
Taylor, Duncan & Melissa Humphries. (2025). Simulating realistic short tandem repeat capillary electrophoretic signal using a generative adversarial network. Expert Systems with Applications. 280. 127536–127536. 1 indexed citations
2.
Taylor, Duncan, et al.. (2024). Classification of epidermal, buccal, penile and vaginal epithelial cells using morphological characteristics measured by imaging flow cytometry. Forensic Science International. 365. 112274–112274. 2 indexed citations
3.
Goray, Mariya, et al.. (2024). Emerging use of air eDNA and its application to forensic investigations – A review. Electrophoresis. 45(9-10). 916–932. 9 indexed citations
4.
Goray, Mariya, et al.. (2024). Up in the air: Presence and collection of DNA from air and air conditioner units. Electrophoresis. 45(9-10). 933–947. 7 indexed citations
5.
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
6.
Taylor, Duncan, et al.. (2023). Determining the number and size of background samples derived from an area adjacent to the target sample that provide the greatest support for a POI in a target sample. Forensic Science International Genetics. 68. 102977–102977. 3 indexed citations
7.
Kokshoorn, Bas & Duncan Taylor. (2023). Forensic DNA Trace Evidence Interpretation. 4 indexed citations
8.
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
9.
Taylor, Duncan, et al.. (2021). Validation of a neural network approach for STR typing to replace human reading. Forensic Science International Genetics. 55. 102591–102591. 10 indexed citations
10.
Taylor, Duncan & Damien Abarno. (2021). Using big data from probabilistic genotyping to solve crime. Forensic Science International Genetics. 57. 102631–102631. 8 indexed citations
11.
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
12.
Buckleton, John, Kirk E. Lohmueller, Keith Inman, et al.. (2019). Testing whether stutter and low-level DNA peaks are additive. Forensic Science International Genetics. 43. 102166–102166. 5 indexed citations
13.
Taylor, Duncan, et al.. (2019). Inter-sample contamination detection using mixture deconvolution comparison. Forensic Science International Genetics. 40. 160–167. 8 indexed citations
14.
Taylor, Duncan, et al.. (2018). DNA profiles generated from a range of touched sample types. Forensic Science International Genetics. 36. 13–19. 40 indexed citations
15.
Templeton, Jennifer E.L., Duncan Taylor, Oliva Handt, & Adrian Linacre. (2017). Typing DNA profiles from previously enhanced fingerprints using direct PCR. Forensic Science International Genetics. 29. 276–282. 16 indexed citations
16.
Taylor, Duncan. (2016). The evaluation of exclusionary DNA results: a discussion of issues inRv.Drummond. Law Probability and Risk. 15(3). 175–197. 10 indexed citations
17.
Biedermann, Alex, Christophe Champod, Graham Jackson, et al.. (2016). Evaluation of Forensic DNA Traces When Propositions of Interest Relate to Activities: Analysis and Discussion of Recurrent Concerns. Frontiers in Genetics. 7. 215–215. 42 indexed citations
18.
Taylor, Duncan, Damien Abarno, Tacha Hicks, & Christophe Champod. (2015). Evaluating forensic biology results given source level propositions. Forensic Science International Genetics. 21. 54–67. 29 indexed citations
19.
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
20.
Taylor, Duncan. (1958). La labor del Servicio de Radioemisiones Escolares de la B.B.C.. Bordón. Revista de pedagogía. 395–404. 1 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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