Andrew Currin

1.6k total citations
22 papers, 817 citations indexed

About

Andrew Currin is a scholar working on Molecular Biology, Biomedical Engineering and Spectroscopy. According to data from OpenAlex, Andrew Currin has authored 22 papers receiving a total of 817 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 5 papers in Biomedical Engineering and 2 papers in Spectroscopy. Recurrent topics in Andrew Currin's work include Microbial Metabolic Engineering and Bioproduction (10 papers), RNA and protein synthesis mechanisms (7 papers) and Genomics and Phylogenetic Studies (4 papers). Andrew Currin is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (10 papers), RNA and protein synthesis mechanisms (7 papers) and Genomics and Phylogenetic Studies (4 papers). Andrew Currin collaborates with scholars based in United Kingdom, Czechia and France. Andrew Currin's co-authors include Neil Swainston, Douglas B. Kell, Philip J. Day, Eriko Takano, Nigel S. Scrutton, Adrian J. Jervis, Rainer Breitling, Neil Dixon, Pablo Carbonell and Cunyu Yan and has published in prestigious journals such as Chemical Society Reviews, Nucleic Acids Research and Nature Communications.

In The Last Decade

Andrew Currin

22 papers receiving 809 citations

Peers

Andrew Currin

PHARM

BIOTE

GENET

Jeffrey A. Dietrich United States

Emerson Glassey United States

Bert van Loo United Kingdom

Tianhao Yu United States

Guojun Zheng China

Patrick C. Cirino United States

C.M. Miton Canada

A. Chang Germany

Jameson K. Rogers United States

Andrew E. Owens United States

Jeffrey A. Dietrich United States

Andrew Currin

831 ×1.2

311 ×2.1

95 ×1.0

PHARM

74 ×0.9

BIOTE

128 ×2.1

GENET

Citations per year, relative to Andrew Currin Andrew Currin (= 1×) peers Jeffrey A. Dietrich

Countries citing papers authored by Andrew Currin

Since Specialization

Citations

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

Fields of papers citing papers by Andrew Currin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Currin

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Currin. A scholar is included among the top collaborators of Andrew Currin 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 Andrew Currin. Andrew Currin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Currin, Andrew, et al.. (2023). High quality de novo genome assembly of the non-conventional yeast Kazachstania bulderi describes a potential low pH production host for biorefineries. Communications Biology. 6(1). 918–918. 4 indexed citations

Russell, Matthew R., Andrew Currin, William Rowe, et al.. (2022). Baseline proteomics characterisation of the emerging host biomanufacturing organism Halomonas bluephagenesis. Scientific Data. 9(1). 492–492. 3 indexed citations

Bowyer, Paul, Andrew Currin, Daniela Delneri, & Marcin G. Fraczek. (2022). Telomere-to-telomere genome sequence of the model mould pathogen Aspergillus fumigatus. Nature Communications. 13(1). 5394–5394. 11 indexed citations

Currin, Andrew, Steven J. Parker, Christopher Robinson, et al.. (2021). The evolving art of creating genetic diversity: From directed evolution to synthetic biology. Biotechnology Advances. 50. 107762–107762. 24 indexed citations

Robinson, Christopher, Pablo Carbonell, Adrian J. Jervis, et al.. (2021). Prototyping of microbial chassis for the biomanufacturing of high-value chemical targets. Biochemical Society Transactions. 49(3). 1055–1063. 4 indexed citations

Dunstan, Mark S., Christopher Robinson, Adrian J. Jervis, et al.. (2020). Engineering Escherichia coli towards de novo production of gatekeeper (2S)-flavanones: naringenin, pinocembrin, eriodictyol and homoeriodictyol. PubMed. 5(1). ysaa012–ysaa012. 54 indexed citations

Currin, Andrew, Neil Swainston, Mark S. Dunstan, et al.. (2019). Highly multiplexed, fast and accurate nanopore sequencing for verification of synthetic DNA constructs and sequence libraries. PubMed. 4(1). ysz025–ysz025. 34 indexed citations

Currin, Andrew, et al.. (2019). Directed evolution of the PcaV allosteric transcription factor to generate a biosensor for aromatic aldehydes. Journal of Biological Engineering. 13(1). 91–91. 53 indexed citations

Leferink, Nicole G. H., Mark S. Dunstan, Katherine A. Hollywood, et al.. (2019). An automated pipeline for the screening of diverse monoterpene synthase libraries. Scientific Reports. 9(1). 11936–11936. 29 indexed citations

10.

Currin, Andrew, Mark S. Dunstan, Linus O. Johannissen, et al.. (2018). Engineering the “Missing Link” in Biosynthetic (−)-Menthol Production: Bacterial Isopulegone Isomerase. ACS Catalysis. 8(3). 2012–2020. 24 indexed citations

11.

Swainston, Neil, et al.. (2018). Fast and Flexible Synthesis of Combinatorial Libraries for Directed Evolution. Methods in enzymology on CD-ROM/Methods in enzymology. 608. 59–79. 6 indexed citations

12.

Currin, Andrew, et al.. (2018). Ultra-high throughput functional enrichment of large monoamine oxidase (MAO-N) libraries by fluorescence activated cell sorting. The Analyst. 143(19). 4747–4755. 16 indexed citations

13.

Leferink, Nicole G. H., Kara E. Ranaghan, V. Karuppiah, et al.. (2018). Experiment and Simulation Reveal How Mutations in Functional Plasticity Regions Guide Plant Monoterpene Synthase Product Outcome. ACS Catalysis. 8(5). 3780–3791. 39 indexed citations

14.

Swainston, Neil, et al.. (2017). CodonGenie: optimised ambiguous codon design tools. PeerJ Computer Science. 3. e120–e120. 9 indexed citations

15.

Currin, Andrew, et al.. (2017). Computing exponentially faster: implementing a non-deterministic universal Turing machine using DNA. Journal of The Royal Society Interface. 14(128). 20160990–20160990. 23 indexed citations

16.

Currin, Andrew, Neil Swainston, Philip J. Day, & Douglas B. Kell. (2016). SpeedyGenes: Exploiting an Improved Gene Synthesis Method for the Efficient Production of Synthetic Protein Libraries for Directed Evolution. Methods in molecular biology. 1472. 63–78. 12 indexed citations

17.

Carbonell, Pablo, Andrew Currin, Adrian J. Jervis, et al.. (2016). Bioinformatics for the synthetic biology of natural products: integrating across the Design–Build–Test cycle. Natural Product Reports. 33(8). 925–932. 44 indexed citations

18.

Currin, Andrew, Neil Swainston, Philip J. Day, & Douglas B. Kell. (2014). SpeedyGenes: an improved gene synthesis method for the efficient production of error-corrected, synthetic protein libraries for directed evolution. Protein Engineering Design and Selection. 27(9). 273–280. 28 indexed citations

19.

Swainston, Neil, Andrew Currin, Philip J. Day, & Douglas B. Kell. (2014). GeneGenie: optimized oligomer design for directed evolution. Nucleic Acids Research. 42(W1). W395–W400. 22 indexed citations

20.

Currin, Andrew, Neil Swainston, Philip J. Day, & Douglas B. Kell. (2014). Synthetic biology for the directed evolution of protein biocatalysts: navigating sequence space intelligently. Chemical Society Reviews. 44(5). 1172–1239. 276 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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