Keith Baronian

2.2k total citations
67 papers, 1.6k citations indexed

About

Keith Baronian is a scholar working on Molecular Biology, Electrical and Electronic Engineering and Electrochemistry. According to data from OpenAlex, Keith Baronian has authored 67 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 19 papers in Electrical and Electronic Engineering and 13 papers in Electrochemistry. Recurrent topics in Keith Baronian's work include Electrochemical sensors and biosensors (16 papers), Electrochemical Analysis and Applications (13 papers) and Effects and risks of endocrine disrupting chemicals (11 papers). Keith Baronian is often cited by papers focused on Electrochemical sensors and biosensors (16 papers), Electrochemical Analysis and Applications (13 papers) and Effects and risks of endocrine disrupting chemicals (11 papers). Keith Baronian collaborates with scholars based in New Zealand, Germany and Vietnam. Keith Baronian's co-authors include Alison J. Downard, Gotthard Kunze, Neil Pasco, Frédéric Barrière, Frankie J. Rawson, Olivier Schaetzle, Cy M. Jeffries, David J. Garrett, Rüdiger Bode and Steffen Uhlig and has published in prestigious journals such as Energy & Environmental Science, Analytical Chemistry and The Science of The Total Environment.

In The Last Decade

Keith Baronian

67 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Keith Baronian New Zealand 22 668 600 395 356 341 67 1.6k
Zhen Fang China 36 813 1.2× 765 1.3× 625 1.6× 358 1.0× 238 0.7× 95 3.2k
Heather R. Luckarift United States 27 1.2k 1.7× 963 1.6× 310 0.8× 507 1.4× 513 1.5× 54 2.5k
Qiaolin Lang China 22 875 1.3× 689 1.1× 71 0.2× 430 1.2× 319 0.9× 44 1.7k
Kyoungseon Min South Korea 25 502 0.8× 752 1.3× 133 0.3× 537 1.5× 168 0.5× 55 1.8k
Azmi Telefoncu Türkiye 26 767 1.1× 672 1.1× 84 0.2× 437 1.2× 271 0.8× 70 1.7k
Panpan Gai China 35 1.7k 2.5× 2.1k 3.6× 516 1.3× 1.3k 3.6× 578 1.7× 88 4.0k
Wakako Tsugawa Japan 29 1.4k 2.1× 1.1k 1.9× 165 0.4× 412 1.2× 542 1.6× 111 2.4k
Mykhailo Gonchar Ukraine 26 1.2k 1.7× 1.0k 1.7× 49 0.1× 724 2.0× 382 1.1× 160 2.2k
S.D. Varfolomeyev Russia 20 790 1.2× 612 1.0× 32 0.1× 230 0.6× 442 1.3× 67 2.0k
Jeremy R. Mason United Kingdom 17 437 0.7× 545 0.9× 478 1.2× 137 0.4× 167 0.5× 28 1.4k

Countries citing papers authored by Keith Baronian

Since Specialization
Citations

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

Fields of papers citing papers by Keith Baronian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keith Baronian

This figure shows the co-authorship network connecting the top 25 collaborators of Keith Baronian. A scholar is included among the top collaborators of Keith Baronian 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 Keith Baronian. Keith Baronian 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
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Carere, Carlo R., et al.. (2021). RNA stable isotope probing and high‐throughput sequencing to identify active microbial community members in a methane‐driven denitrifying biofilm. Journal of Applied Microbiology. 132(2). 1526–1542. 5 indexed citations
4.
Stolnik, Snow, et al.. (2018). New Perspectives on Iron Uptake in Eukaryotes. Frontiers in Molecular Biosciences. 5. 97–97. 24 indexed citations
5.
Trautwein‐Schult, Anke, et al.. (2017). Environmental and metabolic parameters affecting the uric acid production of Arxula adeninivorans. Applied Microbiology and Biotechnology. 101(11). 4725–4736. 1 indexed citations
6.
Becker, Karin, Jan Riechen, Sebastian Worch, et al.. (2016). Aadh2p: an Arxula adeninivorans alcohol dehydrogenase involved in the first step of the 1-butanol degradation pathway. Microbial Cell Factories. 15(1). 175–175. 4 indexed citations
7.
Kaiser, Christian, Karina Hettwer, Steffen Uhlig, et al.. (2014). Development and assessment of a novel Arxula adeninivorans androgen screen (A-YAS) assay and its application in analysis of cattle urine. The Science of The Total Environment. 490. 1073–1081. 15 indexed citations
8.
Rawson, Frankie J., Alison J. Downard, & Keith Baronian. (2014). Electrochemical detection of intracellular and cell membrane redox systems in Saccharomyces cerevisiae. Scientific Reports. 4(1). 5216–5216. 73 indexed citations
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Trautwein‐Schult, Anke, Arno Cordes, Petra Hoferichter, et al.. (2014). <b><i>Arxula adeninivorans</i></b> Recombinant Guanine Deaminase and Its Application in the Production of Food with Low Purine Content. Microbial Physiology. 24(2). 67–81. 7 indexed citations
11.
Trautwein‐Schult, Anke, Arno Cordes, Petra Hoferichter, et al.. (2013). <b><i>Arxula adeninivorans</i></b> Recombinant Urate Oxidase and Its Application in the Production of Food with Low Uric Acid Content. Microbial Physiology. 23(6). 418–430. 11 indexed citations
12.
Chen, Wanxin, Patrick Schweizer, Frank Sonntag, et al.. (2013). ‘Phytochip’: On-chip detection of phytopathogenic RNA viruses by a new surface plasmon resonance platform. Journal of Virological Methods. 189(1). 80–86. 13 indexed citations
13.
Rawson, Frankie J., David J. Garrett, Dónal Leech, Alison J. Downard, & Keith Baronian. (2010). Electron transfer from Proteus vulgaris to a covalently assembled, single walled carbon nanotube electrode functionalised with osmium bipyridine complex: Application to a whole cell biosensor. Biosensors and Bioelectronics. 26(5). 2383–2389. 35 indexed citations
14.
Hahn, Thomas, Kristina Tag, Klaus Riedel, et al.. (2006). A novel estrogen sensor based on recombinant Arxula adeninivorans cells. Biosensors and Bioelectronics. 21(11). 2078–2085. 41 indexed citations
15.
Baronian, Keith, et al.. (2005). Electrochemical Detection of Yeast Responses to Catabolizable Molecules. Australian Journal of Chemistry. 58(4). 270–274. 5 indexed citations
16.
Pasco, Neil, et al.. (2004). MICREDOX®—development of a ferricyanide-mediated rapid biochemical oxygen demand method using an immobilised Proteus vulgaris biocomponent. Biosensors and Bioelectronics. 20(3). 524–532. 73 indexed citations
17.
Baronian, Keith. (2003). The use of yeast and moulds as sensing elements in biosensors. Biosensors and Bioelectronics. 19(9). 953–962. 74 indexed citations
18.
Baronian, Keith, et al.. (2002). Detection of two distinct substrate-dependent catabolic responses in yeast cells using a mediated electrochemical method. Applied Microbiology and Biotechnology. 60(1-2). 108–113. 76 indexed citations
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Pasco, Neil, et al.. (2000). Biochemical mediator demand - a novel rapid alternative for measuring biochemical oxygen demand. Applied Microbiology and Biotechnology. 53(5). 613–618. 92 indexed citations
20.
Baronian, Keith, et al.. (1998). Unravelling the causes of wool yellowing: Part II Involvement of bacteria. Proceedings of the New Zealand Society of Animal Production. 58. 277–280. 3 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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