Michael J. Trimble

2.0k total citations
19 papers, 1.5k citations indexed

About

Michael J. Trimble is a scholar working on Molecular Biology, Genetics and Microbiology. According to data from OpenAlex, Michael J. Trimble has authored 19 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 7 papers in Genetics and 6 papers in Microbiology. Recurrent topics in Michael J. Trimble's work include Bacterial biofilms and quorum sensing (10 papers), Bacterial Genetics and Biotechnology (7 papers) and Antimicrobial Peptides and Activities (6 papers). Michael J. Trimble is often cited by papers focused on Bacterial biofilms and quorum sensing (10 papers), Bacterial Genetics and Biotechnology (7 papers) and Antimicrobial Peptides and Activities (6 papers). Michael J. Trimble collaborates with scholars based in Canada, United States and New Zealand. Michael J. Trimble's co-authors include Robert E. W. Hancock, Evan F. Haney, Yves V. Brun, Milan Kolář, Patrik Mlynárčik, Zhuo Li, Grant J. Jensen, Linda L. McCarter, John Cheng and Sarah Mansour and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The EMBO Journal and Chemical Communications.

In The Last Decade

Michael J. Trimble

18 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael J. Trimble Canada 15 895 359 293 279 226 19 1.5k
Bridget Gollan United Kingdom 11 800 0.9× 468 1.3× 413 1.4× 302 1.1× 278 1.2× 13 1.7k
Asher Brauner Israel 5 608 0.7× 358 1.0× 474 1.6× 148 0.5× 154 0.7× 6 1.3k
Nicholas P. West Australia 29 1000 1.1× 297 0.8× 173 0.6× 183 0.7× 176 0.8× 72 2.2k
John P. Santa Maria United States 12 834 0.9× 238 0.7× 192 0.7× 226 0.8× 215 1.0× 13 1.5k
Ofer Fridman Israel 7 939 1.0× 671 1.9× 614 2.1× 164 0.6× 248 1.1× 8 1.9k
Gudrun Koch Germany 15 1.2k 1.3× 441 1.2× 321 1.1× 163 0.6× 160 0.7× 18 1.5k
Cezar M. Khursigara Canada 25 1.3k 1.4× 584 1.6× 262 0.9× 229 0.8× 385 1.7× 68 2.0k
Mathias Müsken Germany 21 952 1.1× 236 0.7× 307 1.0× 149 0.5× 196 0.9× 77 1.4k
Arnaud Gutierrez France 13 879 1.0× 542 1.5× 644 2.2× 137 0.5× 265 1.2× 21 1.7k
Brian W. Kwan United States 11 921 1.0× 575 1.6× 447 1.5× 164 0.6× 303 1.3× 12 1.6k

Countries citing papers authored by Michael J. Trimble

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Trimble

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael J. Trimble. 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 Michael J. Trimble. The network helps show where Michael J. Trimble may publish in the future.

Co-authorship network of co-authors of Michael J. Trimble

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

All Works

19 of 19 papers shown
1.
Trimble, Michael J., et al.. (2025). The genotypic characterization of Streptococcus pluranimalium from aborted bovine fetuses in British Columbia, Canada. Frontiers in Microbiology. 16. 1603770–1603770.
2.
Wu, Bing, Evan F. Haney, Noushin Akhoundsadegh, et al.. (2021). Human organoid biofilm model for assessing antibiofilm activity of novel agents. npj Biofilms and Microbiomes. 7(1). 8–8. 35 indexed citations
3.
Haney, Evan F., Michael J. Trimble, & Robert E. W. Hancock. (2021). Microtiter plate assays to assess antibiofilm activity against bacteria. Nature Protocols. 16(5). 2615–2632. 155 indexed citations
4.
Alford, Morgan A., Ka-Yee Grace Choi, Michael J. Trimble, et al.. (2021). Murine Model of Sinusitis Infection for Screening Antimicrobial and Immunomodulatory Therapies. Frontiers in Cellular and Infection Microbiology. 11. 621081–621081. 11 indexed citations
5.
Trimble, Michael J., et al.. (2021). Antibiofilm peptides: overcoming biofilm-related treatment failure. RSC Advances. 11(5). 2718–2728. 37 indexed citations
6.
Pletzer, Daniel, et al.. (2020). Surfing motility is a complex adaptation dependent on the stringent stress response in Pseudomonas aeruginosa LESB58. PLoS Pathogens. 16(3). e1008444–e1008444. 16 indexed citations
7.
Lee, Amy Huei‐Yi, Michael J. Trimble, Hugh G.G. Townsend, et al.. (2020). A Bovine Enteric Mycobacterium Infection Model to Analyze Parenteral Vaccine-Induced Mucosal Immunity and Accelerate Vaccine Discovery. Frontiers in Immunology. 11. 586659–586659. 6 indexed citations
8.
Trimble, Michael J., Sarah Mansour, Daniel Pletzer, et al.. (2019). Controlling biofilm formation with nitroxide functional surfaces. Polymer Chemistry. 10(31). 4252–4258. 18 indexed citations
9.
Trimble, Michael J., et al.. (2019). Cell‐cell communication, chemotaxis and recruitment in Vibrio parahaemolyticus. Molecular Microbiology. 112(1). 99–113. 9 indexed citations
10.
Haney, Evan F., et al.. (2018). Critical Assessment of Methods to Quantify Biofilm Growth and Evaluate Antibiofilm Activity of Host Defence Peptides. Biomolecules. 8(2). 29–29. 227 indexed citations
11.
Haney, Evan F., et al.. (2018). Computer-aided Discovery of Peptides that Specifically Attack Bacterial Biofilms. Scientific Reports. 8(1). 1871–1871. 84 indexed citations
12.
Trimble, Michael J., Patrik Mlynárčik, Milan Kolář, & Robert E. W. Hancock. (2016). Polymyxin: Alternative Mechanisms of Action and Resistance. Cold Spring Harbor Perspectives in Medicine. 6(10). a025288–a025288. 309 indexed citations
13.
Feng, Jinsong, César de la Fuente‐Núñez, Michael J. Trimble, et al.. (2015). An in situ Raman spectroscopy-based microfluidic “lab-on-a-chip” platform for non-destructive and continuous characterization of Pseudomonas aeruginosa biofilms. Chemical Communications. 51(43). 8966–8969. 32 indexed citations
14.
Ferreira, Rosana B. R., et al.. (2011). Output Targets and Transcriptional Regulation by a Cyclic Dimeric GMP-Responsive Circuit in the Vibrio parahaemolyticus Scr Network. Journal of Bacteriology. 194(5). 914–924. 62 indexed citations
15.
Trimble, Michael J. & Linda L. McCarter. (2011). Bis-(3′-5′)-cyclic dimeric GMP-linked quorum sensing controls swarming in Vibrio parahaemolyticus. Proceedings of the National Academy of Sciences. 108(44). 18079–18084. 65 indexed citations
16.
Brown, Pamela, Gail G. Hardy, Michael J. Trimble, & Yves V. Brun. (2008). Complex Regulatory Pathways Coordinate Cell-Cycle Progression and Development in Caulobacter crescentus. Advances in microbial physiology. 54. 1–101. 54 indexed citations
17.
Li, Zhuo, Michael J. Trimble, Yves V. Brun, & Grant J. Jensen. (2007). The structure of FtsZ filaments in vivo suggests a force‐generating role in cell division. The EMBO Journal. 26(22). 4694–4708. 299 indexed citations
18.
Trimble, Michael J., et al.. (2004). tRNA slippage at the tmRNA resume codon. RNA. 10(5). 805–812. 15 indexed citations
19.
Martín, Miriam, Michael J. Trimble, & Yves V. Brun. (2004). Cell cycle‐dependent abundance, stability and localization of FtsA and FtsQ in Caulobacter crescentus. Molecular Microbiology. 54(1). 60–74. 41 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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