Geoff Dumsday

1.4k total citations
47 papers, 1.1k citations indexed

About

Geoff Dumsday is a scholar working on Molecular Biology, Biomedical Engineering and Biomaterials. According to data from OpenAlex, Geoff Dumsday has authored 47 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 15 papers in Biomedical Engineering and 9 papers in Biomaterials. Recurrent topics in Geoff Dumsday's work include Microbial Metabolic Engineering and Bioproduction (13 papers), Fungal and yeast genetics research (10 papers) and Biofuel production and bioconversion (9 papers). Geoff Dumsday is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (13 papers), Fungal and yeast genetics research (10 papers) and Biofuel production and bioconversion (9 papers). Geoff Dumsday collaborates with scholars based in Australia, United States and United Kingdom. Geoff Dumsday's co-authors include Benjamin Yap, Gregory J.O. Martin, Peter J. Scales, John A. M. Ramshaw, Jerome A. Werkmeister, Yong Y. Peng, Neville B. Pamment, Violet Stoichevska, Claudia E. Vickers and Bingyin Peng and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Geoff Dumsday

46 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Geoff Dumsday Australia 18 533 312 270 235 140 47 1.1k
Huibin Zou China 19 732 1.4× 322 1.0× 135 0.5× 49 0.2× 85 0.6× 42 1.2k
Huilin Zhao China 18 650 1.2× 226 0.7× 146 0.5× 44 0.2× 268 1.9× 86 1.8k
Cristal Zúñiga United States 20 862 1.6× 228 0.7× 66 0.2× 257 1.1× 55 0.4× 43 1.3k
Eda Çelik Türkiye 20 867 1.6× 268 0.9× 111 0.4× 39 0.2× 179 1.3× 34 1.1k
Katsunori Yoshikawa Japan 24 1.3k 2.4× 434 1.4× 74 0.3× 322 1.4× 59 0.4× 42 1.6k
Robert Flick Canada 25 1.5k 2.7× 295 0.9× 195 0.7× 70 0.3× 163 1.2× 56 2.3k
Astrid Höppner Germany 16 567 1.1× 85 0.3× 182 0.7× 96 0.4× 80 0.6× 23 960
Jing Hou China 18 660 1.2× 104 0.3× 349 1.3× 48 0.2× 115 0.8× 74 1.0k
Haishan Qi China 19 489 0.9× 263 0.8× 153 0.6× 36 0.2× 49 0.3× 45 889

Countries citing papers authored by Geoff Dumsday

Since Specialization
Citations

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

Fields of papers citing papers by Geoff Dumsday

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Geoff Dumsday

This figure shows the co-authorship network connecting the top 25 collaborators of Geoff Dumsday. A scholar is included among the top collaborators of Geoff Dumsday 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 Geoff Dumsday. Geoff Dumsday 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.
Younas, Tayyaba, et al.. (2024). Functionalizing Yeast Lipid Droplets as Versatile Biomaterials. Small. 20(33). e2308463–e2308463.
2.
Lu, Zeyu, Lian Liu, Gert Talbo, et al.. (2024). LowTempGAL: a highly responsive low temperature-inducibleGALsystem inSaccharomyces cerevisiae. Nucleic Acids Research. 52(12). 7367–7383. 3 indexed citations
3.
Dumsday, Geoff, et al.. (2024). Cross-feeding promotes heterogeneity within yeast cell populations. Nature Communications. 15(1). 418–418. 5 indexed citations
4.
5.
Peng, Bingyin, Zeyu Lu, Christopher B. Howard, et al.. (2022). An in vivo gene amplification system for high level expression in Saccharomyces cerevisiae. Nature Communications. 13(1). 2895–2895. 30 indexed citations
6.
Younas, Tayyaba, et al.. (2022). Rapid production of multimeric RNA aptamers stabilized by a designed pseudo‐circular structure in E. coli. Biotechnology Journal. 18(3). e2200390–e2200390. 3 indexed citations
7.
Peng, Bingyin, Zeyu Lu, Christopher B. Howard, et al.. (2022). Engineering eukaryote-like regulatory circuits to expand artificial control mechanisms for metabolic engineering in Saccharomyces cerevisiae. Communications Biology. 5(1). 135–135. 23 indexed citations
8.
Balu, Rajkamal, Jitendra Mata, Agata Rekas, et al.. (2022). Crowder-directed interactions and conformational dynamics in multistimuli-responsive intrinsically disordered protein. Science Advances. 8(51). eabq2202–eabq2202. 9 indexed citations
9.
Lu, Zeyu, Bingyin Peng, Birgitta E. Ebert, Geoff Dumsday, & Claudia E. Vickers. (2021). Auxin-mediated protein depletion for metabolic engineering in terpene-producing yeast. Nature Communications. 12(1). 1051–1051. 50 indexed citations
10.
Liu, Chang, Tayyaba Younas, Alex J. Fulcher, et al.. (2021). Custom Design of Protein Particles as Multifunctional Biomaterials. Advanced Functional Materials. 32(2). 9 indexed citations
11.
Hlaing, Mya Myintzu, Bayden R. Wood, Don McNaughton, et al.. (2017). Effect of Drying Methods on Protein and DNA Conformation Changes in Lactobacillus rhamnosus GG Cells by Fourier Transform Infrared Spectroscopy. Journal of Agricultural and Food Chemistry. 65(8). 1724–1731. 50 indexed citations
12.
Khoo, Keith K., Megan Garvey, Lynne J. Waddington, et al.. (2017). The thermodynamics of Pr55Gag-RNA interaction regulate the assembly of HIV. PLoS Pathogens. 13(2). e1006221–e1006221. 37 indexed citations
13.
Collis, Gavin E., et al.. (2017). Structural elucidation of a hydroxy–cineole product obtained from cytochrome P450 monooxygenase CYP101J2 catalysed transformation of 1,8-cineole. Acta Crystallographica Section E Crystallographic Communications. 73(8). 1242–1245. 4 indexed citations
14.
Yap, Benjamin, Geoff Dumsday, Peter J. Scales, & Gregory J.O. Martin. (2014). Energy evaluation of algal cell disruption by high pressure homogenisation. Bioresource Technology. 184. 280–285. 117 indexed citations
15.
Ramshaw, John A. M., Jerome A. Werkmeister, & Geoff Dumsday. (2014). Bioengineered collagens. Bioengineered. 5(4). 227–233. 29 indexed citations
16.
Peng, Yong Y., Violet Stoichevska, Søren Madsen, et al.. (2014). A simple cost-effective methodology for large-scale purification of recombinant non-animal collagens. Applied Microbiology and Biotechnology. 98(4). 1807–1815. 40 indexed citations
17.
Chang, Kim Jye Lee, Geoff Dumsday, Peter D. Nichols, et al.. (2013). High cell density cultivation of a novel Aurantiochytrium sp. strain TC 20 in a fed-batch system using glycerol to produce feedstock for biodiesel and omega-3 oils. Applied Microbiology and Biotechnology. 97(15). 6907–6918. 54 indexed citations
18.
Dumsday, Geoff, et al.. (2005). Two New Biocatalysts for Improved Biological Oxidation of 1,8-Cineole. Australian Journal of Chemistry. 58(12). 912–916. 10 indexed citations
19.
20.
Dumsday, Geoff, et al.. (1999). Comparative stability of ethanol production by Escherichia coli KO11 in batch and chemostat culture. Journal of Industrial Microbiology & Biotechnology. 23(1). 701–708. 28 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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