David L. Gillett

787 total citations
8 papers, 372 citations indexed

About

David L. Gillett is a scholar working on Molecular Biology, Infectious Diseases and Ecology. According to data from OpenAlex, David L. Gillett has authored 8 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Infectious Diseases and 2 papers in Ecology. Recurrent topics in David L. Gillett's work include Ubiquitin and proteasome pathways (2 papers), Biochemical and Molecular Research (2 papers) and HIV/AIDS drug development and treatment (2 papers). David L. Gillett is often cited by papers focused on Ubiquitin and proteasome pathways (2 papers), Biochemical and Molecular Research (2 papers) and HIV/AIDS drug development and treatment (2 papers). David L. Gillett collaborates with scholars based in Australia, United States and Austria. David L. Gillett's co-authors include Leann Tilley, Stanley C. Xie, Tuo Yang, Jessica L. Bridgford, Simon A. Cobbold, Stuart A. Ralph, Lawrence R. Dick, Natalie J. Spillman, Con Dogovski and Charisse Flerida A. Pasaje and has published in prestigious journals such as Nature Communications, Microbiology and Molecular Biology Reviews and Nature Chemical Biology.

In The Last Decade

David L. Gillett

8 papers receiving 370 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David L. Gillett Australia 5 233 114 77 61 54 8 372
Purva Gupta India 12 244 1.0× 83 0.7× 58 0.8× 45 0.7× 51 0.9× 24 400
Wesley Luzetti Fotoran Brazil 12 143 0.6× 189 1.7× 26 0.3× 46 0.8× 59 1.1× 31 475
Kanako Komaki‐Yasuda Japan 13 302 1.3× 226 2.0× 30 0.4× 28 0.5× 24 0.4× 26 478
Ramachandra S. Naik United States 14 405 1.7× 121 1.1× 48 0.6× 178 2.9× 25 0.5× 17 674
Sheetal Middha India 12 431 1.8× 102 0.9× 20 0.3× 33 0.5× 44 0.8× 22 608
Zhenghui Huang China 14 157 0.7× 203 1.8× 40 0.5× 48 0.8× 101 1.9× 35 515
Eloise Thompson United Kingdom 6 258 1.1× 66 0.6× 34 0.4× 84 1.4× 18 0.3× 6 348
Sônia Sousa Melo Cavalcanti de Albuquerque Portugal 5 198 0.8× 93 0.8× 15 0.2× 60 1.0× 15 0.3× 7 319
Olivia Coburn‐Flynn United States 5 157 0.7× 82 0.7× 33 0.4× 37 0.6× 35 0.6× 6 226
Dinkorma Ouologuem Mali 9 205 0.9× 56 0.5× 33 0.4× 55 0.9× 16 0.3× 16 300

Countries citing papers authored by David L. Gillett

Since Specialization
Citations

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

Fields of papers citing papers by David L. Gillett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David L. Gillett. 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 David L. Gillett. The network helps show where David L. Gillett may publish in the future.

Co-authorship network of co-authors of David L. Gillett

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

All Works

8 of 8 papers shown
1.
Gillett, David L., Hariprasad Venugopal, James P. Lingford, et al.. (2025). Quinone extraction drives atmospheric carbon monoxide oxidation in bacteria. Nature Chemical Biology. 21(7). 1058–1068. 2 indexed citations
2.
Gillett, David L., Ilenne Del Valle, Robert G. Egbert, et al.. (2025). A roadmap to understanding and anticipating microbial gene transfer in soil communities. Microbiology and Molecular Biology Reviews. 89(2). e0022524–e0022524. 4 indexed citations
3.
Leung, Pok Man, Anne Daebeler, Eleonora Chiri, et al.. (2022). A nitrite-oxidising bacterium constitutively consumes atmospheric hydrogen. The ISME Journal. 16(9). 2213–2219. 32 indexed citations
4.
Mata-Cantero, Lydia, Stanley C. Xie, Mercedes García, et al.. (2021). High Throughput Screening to Identify Selective and Nonpeptidomimetic Proteasome Inhibitors As Antimalarials. ACS Infectious Diseases. 7(6). 1818–1832. 3 indexed citations
5.
Grinter, Rhys, Rajini Brammananth, Christopher K. Barlow, et al.. (2020). Cellular and Structural Basis of Synthesis of the Unique Intermediate Dehydro-F 420 -0 in Mycobacteria. mSystems. 5(3). 11 indexed citations
6.
Xie, Stanley C., Riley D. Metcalfe, Eric Hanssen, et al.. (2019). The structure of the PA28–20S proteasome complex from Plasmodium falciparum and implications for proteostasis. Nature Microbiology. 4(11). 1990–2000. 29 indexed citations
7.
Yang, Tuo, Lee M. Yeoh, Matthew W. A. Dixon, et al.. (2019). Decreased K13 Abundance Reduces Hemoglobin Catabolism and Proteotoxic Stress, Underpinning Artemisinin Resistance. Cell Reports. 29(9). 2917–2928.e5. 106 indexed citations
8.
Bridgford, Jessica L., Stanley C. Xie, Simon A. Cobbold, et al.. (2018). Artemisinin kills malaria parasites by damaging proteins and inhibiting the proteasome. Nature Communications. 9(1). 3801–3801. 185 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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