Trevor E. Randall

1.0k total citations · 1 hit paper
7 papers, 567 citations indexed

About

Trevor E. Randall is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Trevor E. Randall has authored 7 papers receiving a total of 567 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Genetics and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Trevor E. Randall's work include Bacterial biofilms and quorum sensing (5 papers), Bacterial Genetics and Biotechnology (4 papers) and Cardiac electrophysiology and arrhythmias (1 paper). Trevor E. Randall is often cited by papers focused on Bacterial biofilms and quorum sensing (5 papers), Bacterial Genetics and Biotechnology (4 papers) and Cardiac electrophysiology and arrhythmias (1 paper). Trevor E. Randall collaborates with scholars based in Canada, United States and Israel. Trevor E. Randall's co-authors include Joe J. Harrison, Matthew R. Parsek, Henrik Almblad, Yasuhiko Irie, Pradeep K. Singh, Laura R. Hmelo, Jaeun Yang, P. Lynne Howell, Richard Siehnel and Bradley R. Borlee and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Bacteriology.

In The Last Decade

Trevor E. Randall

7 papers receiving 566 citations

Hit Papers

Precision-engineering the Pseudomonas aeruginosa genome w... 2015 2026 2018 2022 2015 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Trevor E. Randall Canada 6 451 221 121 121 106 7 567
Christine M. Toutain United States 7 552 1.2× 246 1.1× 106 0.9× 150 1.2× 92 0.9× 8 699
Kirsty A. McFarland United States 6 329 0.7× 229 1.0× 93 0.8× 159 1.3× 110 1.0× 7 441
Harald Winteler Switzerland 6 525 1.2× 243 1.1× 106 0.9× 105 0.9× 107 1.0× 6 697
Disha Srivastava United States 7 299 0.7× 132 0.6× 71 0.6× 205 1.7× 56 0.5× 9 425
Rakesh Sikdar United States 9 253 0.6× 118 0.5× 89 0.7× 59 0.5× 56 0.5× 11 383
T. Jarrod Smith United States 10 341 0.8× 168 0.8× 49 0.4× 123 1.0× 98 0.9× 15 434
Johannes Schneider Germany 10 323 0.7× 179 0.8× 93 0.8× 122 1.0× 69 0.7× 12 523
Aaron M. Firoved United States 9 449 1.0× 197 0.9× 78 0.6× 73 0.6× 42 0.4× 10 553
Annika Cimdins Sweden 12 318 0.7× 145 0.7× 56 0.5× 153 1.3× 115 1.1× 16 492
Nanette B. Fulcher United States 7 332 0.7× 173 0.8× 93 0.8× 100 0.8× 39 0.4× 9 458

Countries citing papers authored by Trevor E. Randall

Since Specialization
Citations

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

Fields of papers citing papers by Trevor E. Randall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Trevor E. Randall. 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 Trevor E. Randall. The network helps show where Trevor E. Randall may publish in the future.

Co-authorship network of co-authors of Trevor E. Randall

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

All Works

7 of 7 papers shown
1.
Randall, Trevor E., et al.. (2021). Sensory Perception in Bacterial Cyclic Diguanylate Signal Transduction. Journal of Bacteriology. 204(2). e0043321–e0043321. 34 indexed citations
2.
Marmont, Lindsey S., Gregory B. Whitfield, Roland Pfoh, et al.. (2020). PelX is a UDP-N-acetylglucosamine C4-epimerase involved in Pel polysaccharide–dependent biofilm formation. Journal of Biological Chemistry. 295(34). 11949–11962. 12 indexed citations
3.
Harrison, Joe J., Henrik Almblad, Yasuhiko Irie, et al.. (2020). Elevated exopolysaccharide levels in Pseudomonas aeruginosa flagellar mutants have implications for biofilm growth and chronic infections. PLoS Genetics. 16(6). e1008848–e1008848. 48 indexed citations
4.
Randall, Trevor E., et al.. (2017). Measuring Cyclic Diguanylate (c-di-GMP)-Specific Phosphodiesterase Activity Using the MANT-c-di-GMP Assay. Methods in molecular biology. 1657. 263–278. 2 indexed citations
5.
Hmelo, Laura R., Bradley R. Borlee, Henrik Almblad, et al.. (2015). Precision-engineering the Pseudomonas aeruginosa genome with two-step allelic exchange. Nature Protocols. 10(11). 1820–1841. 367 indexed citations breakdown →
6.
Mechold, Undine, Trevor E. Randall, Denice C. Bay, et al.. (2015). Oligoribonuclease is a central feature of cyclic diguanylate signaling inPseudomonas aeruginosa. Proceedings of the National Academy of Sciences. 112(36). 11359–11364. 88 indexed citations
7.
Durdağı, Serdar, Trevor E. Randall, Henry J. Duff, Adam Chamberlin, & Sergei Y. Noskov. (2014). Rehabilitating drug-induced long-QT promoters: In-silico design of hERG-neutral cisapride analogues with retained pharmacological activity. BMC Pharmacology and Toxicology. 15(1). 14–14. 16 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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