Adrian Linacre

7.1k total citations
248 papers, 4.6k citations indexed

About

Adrian Linacre is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Adrian Linacre has authored 248 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 179 papers in Molecular Biology, 162 papers in Genetics and 80 papers in Ecology. Recurrent topics in Adrian Linacre's work include Forensic and Genetic Research (124 papers), Identification and Quantification in Food (80 papers) and Molecular Biology Techniques and Applications (79 papers). Adrian Linacre is often cited by papers focused on Forensic and Genetic Research (124 papers), Identification and Quantification in Food (80 papers) and Molecular Biology Techniques and Applications (79 papers). Adrian Linacre collaborates with scholars based in Australia, United Kingdom and Taiwan. Adrian Linacre's co-authors include Shanan S. Tobe, Lee Jc, Hsing‐Mei Hsieh, K. Paul Kirkbride, Piyamas Kanokwongnuwut, Li‐Chin Tsai, Duncan Taylor, Andrew C. Kitchener, Jennifer E.L. Templeton and Rob Ogden and has published in prestigious journals such as The Lancet, Journal of the American Chemical Society and Journal of Neuroscience.

In The Last Decade

Adrian Linacre

239 papers receiving 4.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Adrian Linacre Australia 36 3.1k 2.5k 1.6k 379 290 248 4.6k
Roland A.H. van Oorschot Australia 37 2.0k 0.6× 3.0k 1.2× 1.1k 0.7× 480 1.3× 109 0.4× 186 4.3k
P. Sean Walsh United States 21 2.7k 0.9× 2.4k 0.9× 851 0.5× 58 0.2× 262 0.9× 22 5.5k
Marc W. Allard United States 42 2.6k 0.9× 1.5k 0.6× 1.6k 1.0× 15 0.0× 207 0.7× 230 6.7k
Titia Sijen Netherlands 40 5.1k 1.7× 2.3k 0.9× 684 0.4× 166 0.4× 114 0.4× 107 6.9k
Peter M. Vallone United States 31 2.6k 0.8× 2.2k 0.9× 626 0.4× 27 0.1× 269 0.9× 128 3.7k
Shanan S. Tobe Australia 17 849 0.3× 636 0.2× 557 0.4× 94 0.2× 88 0.3× 60 1.4k
A. Kloosterman Netherlands 32 1.0k 0.3× 1.2k 0.5× 501 0.3× 72 0.2× 57 0.2× 96 2.7k
Vincent Castella Switzerland 21 625 0.2× 1.0k 0.4× 548 0.3× 46 0.1× 42 0.1× 62 1.8k
Mark R. Wilson United States 23 1.5k 0.5× 1.3k 0.5× 354 0.2× 17 0.0× 62 0.2× 34 2.1k
Lin Chao United States 42 2.6k 0.8× 4.8k 1.9× 1.3k 0.8× 75 0.2× 138 0.5× 78 7.0k

Countries citing papers authored by Adrian Linacre

Since Specialization
Citations

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

Fields of papers citing papers by Adrian Linacre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adrian Linacre

This figure shows the co-authorship network connecting the top 25 collaborators of Adrian Linacre. A scholar is included among the top collaborators of Adrian Linacre 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 Adrian Linacre. Adrian Linacre 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.
Linacre, Adrian, et al.. (2024). Cell counting to monitor swab efficiency. Journal of Forensic Sciences. 69(3). 1002–1010.
2.
Gardner, M., et al.. (2023). Visualisation and detection of latent DNA deposited by pangolin scales onto plastic packaging materials. Forensic Science International Genetics. 68. 102975–102975. 3 indexed citations
3.
Humphries, Melissa, et al.. (2023). Diagnostic models to predict nuclear DNA and mitochondrial DNA recovery from incinerated teeth. International Journal of Legal Medicine. 137(5). 1353–1360. 1 indexed citations
4.
Murphy, Nicholas P., et al.. (2023). Kinship analysis reveals low dispersal in a hog deer (Axis porcinus) population in Wilsons Promontory National Park, Australia. Wildlife Research. 50(9). 746–756. 1 indexed citations
5.
Kirkbride, K. Paul, et al.. (2023). Improvements, factors, and influences on DNA recovery from firearms. Forensic Science International Genetics. 65. 102873–102873. 1 indexed citations
6.
Murphy, Nicholas P., et al.. (2022). Genetic analysis of hog deer (Axis porcinus) in Victoria, Australia, and its applications to invasive species and game management. European Journal of Wildlife Research. 68(4). 3 indexed citations
7.
Cassey, Phillip, et al.. (2021). Recovering trace reptile DNA from the illegal wildlife trade. SHILAP Revista de lepidopterología. 2. 100040–100040. 5 indexed citations
8.
Linacre, Adrian, et al.. (2021). Development of an STR panel for a non-native population of an endangered species. Molecular Biology Reports. 49(1). 839–845. 2 indexed citations
9.
Humphries, Melissa, et al.. (2021). The development of a tool to predict temperature-exposure of incinerated teeth using colourimetric and hydroxyapatite crystal size data. International Journal of Legal Medicine. 135(5). 2045–2053. 2 indexed citations
10.
Kirkbride, K. Paul, et al.. (2021). The influences of dusty environments on the STR typing success of post-detonation touch DNA samples. Forensic Science International Genetics. 57. 102651–102651. 3 indexed citations
11.
Humphries, Melissa, et al.. (2020). Integrating spectrophotometric and XRD analyses in the investigation of burned dental remains. Forensic Science International. 310. 110236–110236. 9 indexed citations
12.
Li, Bo, et al.. (2020). Forensic validation of a panel of 12 SNPs for identification of Mongolian wolf and dog. Scientific Reports. 10(1). 13249–13249. 7 indexed citations
13.
Linacre, Adrian, et al.. (2019). Widespread hybridization in the introduced hog deer population of Victoria, Australia, and its implications for conservation. Ecology and Evolution. 9(18). 10828–10842. 12 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.
Linacre, Adrian, et al.. (2017). The complete mitochondrial genome of Axis porcinus (Mammalia: Cervidae) from Victoria, Australia, using MiSeq sequencing. Mitochondrial DNA Part B. 2(2). 453–454. 9 indexed citations
16.
Jc, Lee, Dar-Der Ji, Barbara Daniel, et al.. (2015). A novel application of real-time RT-LAMP for body fluid identification: using HBB detection as the model. Forensic Science Medicine and Pathology. 11(2). 208–215. 25 indexed citations
17.
Hsieh, Hsing‐Mei, et al.. (2003). Species identification of rhinoceros horns using the cytochrome b gene. Forensic Science International. 136(1-3). 1–11. 84 indexed citations
18.
Tsai, Li‐Chin, Hsing‐Mei Hsieh, Marie Lin, et al.. (2002). Haplotype frequencies of nine Y-chromosome STR loci in the Taiwanese Han population. International Journal of Legal Medicine. 116(3). 179–183. 22 indexed citations
19.
Linacre, Adrian, et al.. (2001). Training in the forensic sciences. Discovery Research Portal (University of Dundee). 46. 165–167. 1 indexed citations
20.
Linacre, Adrian, et al.. (1998). Detection and identification of cannabis by DNA. Forensic Science International. 91(1). 71–76. 56 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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