Wayne Aubrey

1.3k total citations
15 papers, 722 citations indexed

About

Wayne Aubrey is a scholar working on Molecular Biology, Artificial Intelligence and Information Systems and Management. According to data from OpenAlex, Wayne Aubrey has authored 15 papers receiving a total of 722 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 3 papers in Artificial Intelligence and 2 papers in Information Systems and Management. Recurrent topics in Wayne Aubrey's work include Genomics and Phylogenetic Studies (7 papers), Microbial Metabolic Engineering and Bioproduction (4 papers) and Biomedical Text Mining and Ontologies (3 papers). Wayne Aubrey is often cited by papers focused on Genomics and Phylogenetic Studies (7 papers), Microbial Metabolic Engineering and Bioproduction (4 papers) and Biomedical Text Mining and Ontologies (3 papers). Wayne Aubrey collaborates with scholars based in United Kingdom, Belgium and Malta. Wayne Aubrey's co-authors include Ross D. King, Amanda Clare, Larisa Soldatova, Andrew C. Sparkes, Michael J. Young, Jem J. Rowland, Stephen G. Oliver, Maria Liakata, Emma Byrne and Kenneth E. Whelan and has published in prestigious journals such as Science, Nucleic Acids Research and Bioinformatics.

In The Last Decade

Wayne Aubrey

14 papers receiving 687 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wayne Aubrey United Kingdom	8	312	145	133	119	96	15	722
Michael J. Young United Kingdom	9	281 0.9×	135 0.9×	119 0.9×	108 0.9×	85 0.9×	27	755
Kenneth E. Whelan United Kingdom	4	357 1.1×	248 1.7×	130 1.0×	132 1.1×	125 1.3×	4	884
Emma Byrne United Kingdom	5	187 0.6×	125 0.9×	86 0.6×	83 0.7×	64 0.7×	9	523
Pınar Pir United Kingdom	18	1.4k 4.5×	104 0.7×	223 1.7×	93 0.8×	80 0.8×	37	1.8k
Christopher H. Bryant United Kingdom	7	234 0.8×	181 1.2×	53 0.4×	52 0.4×	86 0.9×	16	496
Michael Krone Germany	18	376 1.2×	58 0.4×	65 0.5×	72 0.6×	84 0.9×	78	1.1k
Víctor Maojo Spain	16	394 1.3×	240 1.7×	114 0.9×	77 0.6×	90 0.9×	71	746
Philip G. K. Reiser New Zealand	4	198 0.6×	167 1.2×	44 0.3×	49 0.4×	72 0.8×	6	433
Ffion Mair Jones United Kingdom	3	171 0.5×	144 1.0×	44 0.3×	49 0.4×	66 0.7×	4	395
Laurie J. Heyer United States	12	989 3.2×	158 1.1×	79 0.6×	32 0.3×	43 0.4×	24	1.4k

Countries citing papers authored by Wayne Aubrey

Since Specialization

Citations

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

Fields of papers citing papers by Wayne Aubrey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wayne Aubrey

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

All Works

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15 of 15 papers shown

Clare, Amanda, et al.. (2023). StORF-Reporter: finding genes between genes. Nucleic Acids Research. 51(21). 11504–11517. 1 indexed citations

Aubrey, Wayne, et al.. (2021). No one tool to rule them all: prokaryotic gene prediction tool annotations are highly dependent on the organism of study. Bioinformatics. 38(5). 1198–1207. 27 indexed citations

Nicholls, Samuel M., Wayne Aubrey, Kurt De Grave, et al.. (2020). On the complexity of haplotyping a microbial community. Bioinformatics. 37(10). 1360–1366. 13 indexed citations

Creevey, Christopher J., Robert Hoehndorf, Maxat Kulmanov, et al.. (2019). Uncovering the dark matter of the metagenome one read at a time. Access Microbiology. 1(1A). 1 indexed citations

Aubrey, Wayne, et al.. (2015). A Tool for Multiple Targeted Genome Deletions that Is Precise, Scar-Free, and Suitable for Automation. PLoS ONE. 10(12). e0142494–e0142494.

Williams, Kevin J., Andrew C. Sparkes, Wayne Aubrey, et al.. (2015). Eve: Integration of machine learning with compound testing in a robot scientist. Lirias (KU Leuven). 1 indexed citations

Williams, Kevin, Elizabeth Bilsland, Andrew C. Sparkes, et al.. (2015). Cheaper faster drug development validated by the repositioning of drugs against neglected tropical diseases. Journal of The Royal Society Interface. 12(104). 20141289–20141289. 94 indexed citations

Aubrey, Wayne, et al.. (2013). PD5: A General Purpose Library for Primer Design Software. PLoS ONE. 8(11). e80156–e80156. 5 indexed citations

Bilsland, Elizabeth, Andrew C. Sparkes, Kevin Williams, et al.. (2013). Yeast-based automated high-throughput screens to identify anti-parasitic lead compounds. Open Biology. 3(2). 120158–120158. 27 indexed citations

10.

Liu, Yihui, Wayne Aubrey, Katherine Martin, et al.. (2011). THE ANALYSIS OF YEAST CELL MORPHOLOGY FEATURES IN EXPONENTIAL AND STATIONARY PHASE. Journal of Biological Systems. 19(4). 561–575. 3 indexed citations

11.

Sparkes, Andrew C., Wayne Aubrey, Emma Byrne, et al.. (2010). Towards Robot Scientists for autonomous scientific discovery. PubMed. 2(1). 1–1. 101 indexed citations

12.

King, Ross D., Jem J. Rowland, Stephen G. Oliver, et al.. (2009). The Automation of Science. Science. 324(5923). 85–89. 390 indexed citations

13.

Sparkes, Andrew C., Ross D. King, Wayne Aubrey, et al.. (2009). An Integrated Laboratory Robotic System for Autonomous Discovery of Gene Function. JALA Journal of the Association for Laboratory Automation. 15(1). 33–40. 4 indexed citations

14.

King, Ross D., Jem J. Rowland, Wayne Aubrey, et al.. (2009). The Robot Scientist Adam. Computer. 42(7). 46–54. 26 indexed citations

15.

Soldatova, Larisa, Wayne Aubrey, Ross D. King, & Amanda Clare. (2008). The EXACT description of biomedical protocols. Bioinformatics. 24(13). i295–i303. 29 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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