Malcolm Burns

1.7k total citations · 1 hit paper
52 papers, 1.1k citations indexed

About

Malcolm Burns is a scholar working on Molecular Biology, Plant Science and Mechanics of Materials. According to data from OpenAlex, Malcolm Burns has authored 52 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 18 papers in Plant Science and 8 papers in Mechanics of Materials. Recurrent topics in Malcolm Burns's work include Identification and Quantification in Food (16 papers), Genetically Modified Organisms Research (16 papers) and Molecular Biology Techniques and Applications (10 papers). Malcolm Burns is often cited by papers focused on Identification and Quantification in Food (16 papers), Genetically Modified Organisms Research (16 papers) and Molecular Biology Techniques and Applications (10 papers). Malcolm Burns collaborates with scholars based in United Kingdom, United States and Australia. Malcolm Burns's co-authors include Neil Harris, Carole A. Foy, Gavin Nixon, Stephen L. R. Ellison, Jacquie T. Keer, Angela Burrell, Michael Walker, D. Thorburn Burns, Timothy Wilkes and Andrew Damant and has published in prestigious journals such as Journal of Applied Physics, Journal of Agricultural and Food Chemistry and Food Chemistry.

In The Last Decade

Malcolm Burns

50 papers receiving 1.0k citations

Hit Papers

MIQE 2.0: Revision of the Minimum Information for Publica... 2025 2026 2025 5 10 15 20

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Malcolm Burns United Kingdom 16 663 319 188 126 123 52 1.1k
Kristina Lind Sweden 8 752 1.1× 111 0.3× 143 0.8× 127 1.0× 168 1.4× 10 1.2k
Jipeng Wang China 21 470 0.7× 322 1.0× 285 1.5× 46 0.4× 73 0.6× 71 1.3k
Burkhard A. Hense Germany 20 915 1.4× 220 0.7× 247 1.3× 357 2.8× 260 2.1× 44 1.5k
Christian Tellgren‐Roth Sweden 23 831 1.3× 448 1.4× 103 0.5× 219 1.7× 48 0.4× 46 1.4k
Magno Junqueira Brazil 25 990 1.5× 249 0.8× 53 0.3× 220 1.7× 114 0.9× 50 1.5k
Vincent Navratil France 21 931 1.4× 243 0.8× 78 0.4× 291 2.3× 99 0.8× 39 1.7k
Xiaoqing Sun China 24 1.5k 2.3× 198 0.6× 152 0.8× 272 2.2× 61 0.5× 86 2.4k
Hongshan Jiang China 8 648 1.0× 264 0.8× 145 0.8× 186 1.5× 21 0.2× 16 1.2k

Countries citing papers authored by Malcolm Burns

Since Specialization
Citations

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

Fields of papers citing papers by Malcolm Burns

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Malcolm Burns

This figure shows the co-authorship network connecting the top 25 collaborators of Malcolm Burns. A scholar is included among the top collaborators of Malcolm Burns 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 Malcolm Burns. Malcolm Burns 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.
Burns, Malcolm, et al.. (2024). An exploration of anomalous electrical noise in shocked cyclotrimethylenetrinitramine (RDX)-based explosives. Journal of Applied Physics. 135(16). 1 indexed citations
2.
Burns, Malcolm, et al.. (2023). The reactive flow evolution of the polymer-bonded explosive PBX 9502: Experiments and model validation in extreme pressure regimes. Journal of Applied Physics. 134(11). 5 indexed citations
3.
4.
Burns, Malcolm & Gavin Nixon. (2022). Validation of Two Real-Time PCR Approaches for the Relative Quantitation of Pork and Horse DNA in Food Samples. Food and Nutrition Sciences. 13(4). 387–403. 2 indexed citations
5.
Mester, Zoltán, Stephen L. R. Ellison, Yunhua Gao, et al.. (2020). Final report of CCQM-K86.c. Relative quantification of genomic DNA fragments extracted from a biological tissue. Metrologia. 57(1A). 8004–8004. 4 indexed citations
6.
Burns, Malcolm, et al.. (2019). DNA Techniques to Verify Food Authenticity. 15 indexed citations
7.
Nixon, Gavin, Timothy Wilkes, & Malcolm Burns. (2015). Development of a real-time PCR approach for the relative quantitation of horse DNA. Analytical Methods. 7(20). 8590–8596. 19 indexed citations
8.
Goff, Michael, et al.. (2013). Effects observed when using metallic flyers and barriers with the embedded particle velocity gauge technique. Bulletin of the American Physical Society. 1 indexed citations
9.
Bushell, Claire & Malcolm Burns. (2012). Feasibility Study into the Use of DNA Sequencing for the Identification of Probiotic Bacteria. 1 indexed citations
10.
Burns, Malcolm, et al.. (2012). One-dimensional plate impact experiments on the cyclotetramethylene tetranitramine (HMX) based explosive EDC32. Journal of Applied Physics. 112(6). 12 indexed citations
11.
Bellocchi, Gianni, Gilbert Berben, Malcolm Burns, et al.. (2011). The Modular Approach in GMO Quality Control and Enforcement Support Systems. Joint Research Centre (European Commission). 3 indexed citations
12.
Burns, Malcolm, Angela Burrell, & Carole A. Foy. (2010). The applicability of digital PCR for the assessment of detection limits in GMO analysis. European Food Research and Technology. 231(3). 353–362. 68 indexed citations
13.
Burns, Malcolm, et al.. (2008). A simulation approach to assess the minimal number of real-time PCR replicates for GM quantification. European Food Research and Technology. 227(6). 1721–1727. 3 indexed citations
14.
Partis, Lina, Malcolm Burns, Koichi Chiba, et al.. (2007). A study of comparability in amplified fragment length polymorphism profiling using a simple model system. Electrophoresis. 28(18). 3193–3200. 4 indexed citations
15.
Hernández, Marta, Malcolm Burns, Shirin Bruderer, et al.. (2006). A Microarray-based Detection System for Genetically Modified (GM) Food Ingredients. Plant Molecular Biology. 61(1-2). 123–139. 93 indexed citations
16.
Ellison, Stephen L. R., et al.. (2006). Routes to improving the reliability of low level DNA analysis using real-time PCR. BMC Biotechnology. 6(1). 147 indexed citations
17.
Burns, Malcolm, et al.. (2005). An inter-platform repeatability study investigating real-time amplification of plasmid DNA. BMC Biotechnology. 5(1). 15 indexed citations
18.
Burns, Malcolm, Gavin Nixon, Carole A. Foy, & Neil Harris. (2005). Standardisation of data from real-time quantitative PCR methods – evaluation of outliers and comparison of calibration curves. BMC Biotechnology. 5(1). 31–31. 148 indexed citations
19.
Burns, Malcolm, et al.. (2004). Analysis and interpretation of data from real-time PCR trace detection methods using quantitation of GM soya as a model system. Analytical and Bioanalytical Chemistry. 378(6). 1616–1623. 33 indexed citations
20.
Ellison, Stephen L. R., et al.. (2001). Response surface modelling and kinetic studies for the experimental estimation of measurement uncertainty in derivatisation. The Analyst. 126(2). 199–210. 8 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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