Nick Dawnay

1.7k total citations · 1 hit paper
29 papers, 1.3k citations indexed

About

Nick Dawnay is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Nick Dawnay has authored 29 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 19 papers in Genetics and 15 papers in Ecology. Recurrent topics in Nick Dawnay's work include Identification and Quantification in Food (15 papers), Forensic and Genetic Research (15 papers) and Environmental DNA in Biodiversity Studies (11 papers). Nick Dawnay is often cited by papers focused on Identification and Quantification in Food (15 papers), Forensic and Genetic Research (15 papers) and Environmental DNA in Biodiversity Studies (11 papers). Nick Dawnay collaborates with scholars based in United Kingdom and United States. Nick Dawnay's co-authors include Rob Ogden, Ross McEwing, Jonathan Wright, Anahita J.N. Kazem, R. A. O. Hickling, Niels J. Dingemanse, Roger S. Thorpe, Gary R. Carvalho, Jon H. Wetton and Roger S. Thorpe and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Animal Ecology and Behavioral Ecology and Sociobiology.

In The Last Decade

Nick Dawnay

26 papers receiving 1.2k citations

Hit Papers

Behavioural syndromes differ predictably between 12 popul... 2007 2026 2013 2019 2007 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nick Dawnay United Kingdom 12 550 549 539 464 243 29 1.3k
Amber M. Rice United States 20 602 1.1× 466 0.8× 270 0.5× 504 1.1× 268 1.1× 32 1.2k
Kate L. Sanders Australia 22 521 0.9× 342 0.6× 376 0.7× 600 1.3× 421 1.7× 81 1.7k
Alessandro Grapputo Italy 22 624 1.1× 461 0.8× 396 0.7× 530 1.1× 253 1.0× 57 1.7k
Cynthia Steiner United States 16 341 0.6× 330 0.6× 508 0.9× 664 1.4× 86 0.4× 36 1.5k
Margaret F. Smith United States 19 613 1.1× 958 1.7× 252 0.5× 904 1.9× 173 0.7× 25 1.8k
Kanto Nishikawa Japan 21 403 0.7× 345 0.6× 408 0.8× 712 1.5× 133 0.5× 158 1.4k
Sangeet Lamichhaney United States 16 481 0.9× 381 0.7× 685 1.3× 1.3k 2.8× 299 1.2× 28 1.9k
Casper J. Breuker United Kingdom 21 890 1.6× 238 0.4× 205 0.4× 661 1.4× 257 1.1× 43 1.6k
Sonal Singhal United States 21 401 0.7× 371 0.7× 546 1.0× 999 2.2× 204 0.8× 37 1.5k
Ai‐bing Zhang China 23 458 0.8× 626 1.1× 868 1.6× 965 2.1× 123 0.5× 61 1.8k

Countries citing papers authored by Nick Dawnay

Since Specialization
Citations

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

Fields of papers citing papers by Nick Dawnay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nick Dawnay

This figure shows the co-authorship network connecting the top 25 collaborators of Nick Dawnay. A scholar is included among the top collaborators of Nick Dawnay 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 Nick Dawnay. Nick Dawnay 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
2.
Birkett, Jason, et al.. (2024). Improving the forensic genetic workflow for countries with small geographical areas: What are the options and how cost effective are they?. Forensic Science International Genetics. 74. 103171–103171. 1 indexed citations
3.
4.
Mariani, Stefano, et al.. (2024). The forensic potential of environmental DNA (eDNA) in freshwater wildlife crime investigations: From research to application. Science & Justice. 64(4). 443–454. 1 indexed citations
6.
Morrison, Jack, et al.. (2020). Assessing the performance of quantity and quality metrics using the QIAGEN Investigator® Quantiplex® pro RGQ kit. Science & Justice. 60(4). 388–397. 10 indexed citations
7.
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
8.
Dawnay, Nick, et al.. (2019). Development of HyBeacon® probes for the forensic detection of Panthera, rhinoceros, and pangolin species. Molecular and Cellular Probes. 48. 101450–101450.
9.
Dawnay, Nick, et al.. (2018). Impact of sample degradation and inhibition on field-based DNA identification of human remains. Forensic Science International Genetics. 37. 46–53. 5 indexed citations
10.
Morrison, Jack, Giles Watts, Glyn Hobbs, & Nick Dawnay. (2018). Field-based detection of biological samples for forensic analysis: Established techniques, novel tools, and future innovations. Forensic Science International. 285. 147–160. 26 indexed citations
11.
Dawnay, Nick, Erin Hanson, Ambika Gupta, et al.. (2017). Development of HyBeacon® probes for specific mRNA detection using body fluids as a model system. Molecular and Cellular Probes. 38. 51–59. 6 indexed citations
12.
Dawnay, Nick, Nicholas D. Tribble, Erin Hanson, et al.. (2015). Developmental validation of the ParaDNA® Intelligence System—A novel approach to DNA profiling. Forensic Science International Genetics. 17. 137–148. 25 indexed citations
13.
Dawnay, Nick, et al.. (2015). Assessing the impact of common forensic presumptive tests on the ability to obtain results using a novel rapid DNA platform. Forensic Science International Genetics. 17. 87–90. 6 indexed citations
14.
Ball, G., et al.. (2014). Concordance study between the ParaDNA® Intelligence Test, a Rapid DNA profiling assay, and a conventional STR typing kit (AmpFlSTR® SGM Plus®). Forensic Science International Genetics. 16. 48–51. 14 indexed citations
15.
Dawnay, Nick, Dave Moore, Erin Hanson, et al.. (2014). Developmental Validation of the ParaDNA® Screening System - A presumptive test for the detection of DNA on forensic evidence items. Forensic Science International Genetics. 11. 73–79. 32 indexed citations
16.
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
17.
Ogden, Rob, Nick Dawnay, & Ross McEwing. (2008). Wildlife DNA forensics—bridging the gap between conservation genetics and law enforcement. Endangered Species Research. 9. 179–195. 164 indexed citations
18.
Dawnay, Nick, Rob Ogden, Ross McEwing, Gary R. Carvalho, & Roger S. Thorpe. (2007). Validation of the barcoding gene COI for use in forensic genetic species identification. Forensic Science International. 173(1). 1–6. 268 indexed citations
19.
Dingemanse, Niels J., et al.. (2007). Behavioural syndromes differ predictably between 12 populations of three‐spined stickleback. Journal of Animal Ecology. 76(6). 1128–1138. 537 indexed citations breakdown →
20.
Dawnay, Nick, Rob Ogden, Roger S. Thorpe, et al.. (2007). A forensic STR profiling system for the Eurasian badger: A framework for developing profiling systems for wildlife species. Forensic Science International Genetics. 2(1). 47–53. 46 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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