Mario Ouellet

5.0k total citations · 1 hit paper
16 papers, 3.6k citations indexed

About

Mario Ouellet is a scholar working on Molecular Biology, Plant Science and Biomedical Engineering. According to data from OpenAlex, Mario Ouellet has authored 16 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 4 papers in Plant Science and 3 papers in Biomedical Engineering. Recurrent topics in Mario Ouellet's work include Microbial Metabolic Engineering and Bioproduction (6 papers), Plant biochemistry and biosynthesis (4 papers) and Biofuel production and bioconversion (3 papers). Mario Ouellet is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (6 papers), Plant biochemistry and biosynthesis (4 papers) and Biofuel production and bioconversion (3 papers). Mario Ouellet collaborates with scholars based in United States, Canada and Russia. Mario Ouellet's co-authors include Jay D. Keasling, Dae‐Kyun Ro, Aindrila Mukhopadhyay, Karl J. Fisher, Michelle C. Y. Chang, Timothy S. Ham, Karyn L. Newman, John M. Ndungu, Yoichiro Shiba and James Kirby and has published in prestigious journals such as Nature, Nature Communications and PLANT PHYSIOLOGY.

In The Last Decade

Mario Ouellet

16 papers receiving 3.5k citations

Hit Papers

Production of the antimalarial drug precursor artemisinic... 2006 2026 2012 2019 2006 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mario Ouellet United States 13 3.2k 950 697 314 293 16 3.6k
Sydnor T. Withers United States 8 3.5k 1.1× 466 0.5× 1.0k 1.5× 394 1.3× 349 1.2× 9 3.8k
Jack D. Newman United States 19 4.0k 1.2× 541 0.6× 1.1k 1.5× 419 1.3× 247 0.8× 24 4.2k
Christopher J. Paddon United States 22 3.0k 0.9× 382 0.4× 614 0.9× 328 1.0× 193 0.7× 29 3.5k
Yoichiro Shiba Japan 7 2.2k 0.7× 330 0.3× 582 0.8× 259 0.8× 253 0.9× 13 2.4k
Karyn L. Newman United States 9 2.2k 0.7× 255 0.3× 604 0.9× 254 0.8× 269 0.9× 9 2.9k
Dae‐Kyun Ro Canada 29 4.4k 1.4× 418 0.4× 1.3k 1.9× 578 1.8× 514 1.8× 60 5.1k
Timothy S. Ham United States 5 2.1k 0.7× 285 0.3× 532 0.8× 219 0.7× 248 0.8× 6 2.3k
Karl J. Fisher United States 9 2.1k 0.6× 240 0.3× 661 0.9× 231 0.7× 304 1.0× 10 2.5k
Keith E. J. Tyo United States 29 4.3k 1.4× 844 0.9× 929 1.3× 522 1.7× 117 0.4× 70 4.9k
Douglas J. Pitera United States 8 2.9k 0.9× 410 0.4× 774 1.1× 293 0.9× 165 0.6× 8 3.0k

Countries citing papers authored by Mario Ouellet

Since Specialization
Citations

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

Fields of papers citing papers by Mario Ouellet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Ouellet

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

All Works

16 of 16 papers shown
1.
Apel, Amanda Reider, et al.. (2016). Evolved hexose transporter enhances xylose uptake and glucose/xylose co-utilization in Saccharomyces cerevisiae. Scientific Reports. 6(1). 19512–19512. 111 indexed citations
2.
Pitre, Frédéric E., Janice E. K. Cooke, Sébastien Caron, et al.. (2014). Identification of nitrogen responsive genes in poplar roots grown under two contrasting nitrogen levels. BOA (University of Milano-Bicocca). 8(0). 42–54. 1 indexed citations
3.
Ouellet, Mario, et al.. (2013). Utilizing a highly responsive gene, yhjX, in E. coli based production of 1,4-butanediol. Chemical Engineering Science. 103. 68–73. 12 indexed citations
4.
Zhang, Fuzhong, Mario Ouellet, Tanveer S. Batth, et al.. (2012). Enhancing fatty acid production by the expression of the regulatory transcription factor FadR. Metabolic Engineering. 14(6). 653–660. 145 indexed citations
5.
Peralta‐Yahya, Pamela, Mario Ouellet, Rossana Chan, et al.. (2011). Identification and microbial production of a terpene-based advanced biofuel. Nature Communications. 2(1). 483–483. 460 indexed citations
6.
Rautengarten, Carsten, Berit Ebert, Mario Ouellet, et al.. (2011). ArabidopsisDeficient in Cutin FerulateEncodes a Transferase Required for Feruloylation of ω-Hydroxy Fatty Acids in Cutin Polyester    . PLANT PHYSIOLOGY. 158(2). 654–665. 70 indexed citations
7.
Ouellet, Mario, Supratim Datta, Dean Dibble, et al.. (2011). Impact of ionic liquid pretreated plant biomass on Saccharomyces cerevisiae growth and biofuel production. Green Chemistry. 13(10). 2743–2743. 115 indexed citations
8.
Pitre, Frédéric E., Nathalie Pavy, S. Caron, et al.. (2010). High nitrogen fertilization and stem leaning have overlapping effects on wood formation in poplar but invoke largely distinct molecular pathways. Tree Physiology. 30(10). 1273–1289. 50 indexed citations
9.
Côté, Caroline, Vicky Roy, Mario Ouellet, et al.. (2010). Gene family structure, expression and functional analysis of HD-Zip III genes in angiosperm and gymnosperm forest trees. BMC Plant Biology. 10(1). 273–273. 38 indexed citations
10.
Ouellet, Mario, Paul D. Adams, Jay D. Keasling, & Aindrila Mukhopadhyay. (2009). A rapid and inexpensive labeling method for microarray gene expression analysis. BMC Biotechnology. 9(1). 97–97. 26 indexed citations
11.
Steen, Eric J., Rossana Chan, Samuel A. Myers, et al.. (2008). Metabolic engineering of Saccharomyces cerevisiae for the production of n-butanol. Microbial Cell Factories. 7(1). 36–36. 367 indexed citations
12.
Ro, Dae‐Kyun, Mario Ouellet, Helcio Burd, et al.. (2008). Induction of multiple pleiotropic drug resistance genes in yeast engineered to produce an increased level of anti-malarial drug precursor, artemisinic acid. BMC Biotechnology. 8(1). 83–83. 151 indexed citations
13.
Ro, Dae‐Kyun, Mario Ouellet, Karl J. Fisher, et al.. (2006). Production of the antimalarial drug precursor artemisinic acid in engineered yeast. Nature. 440(7086). 940–943. 2030 indexed citations breakdown →
14.
Bolduc, Nathalie, Mario Ouellet, Frédéric E. Pitre, & Louise Brisson. (2003). Molecular characterization of two plant BI-1 homologues which suppress Bax-induced apoptosis in human 293 cells. Planta. 216(3). 377–386. 72 indexed citations
15.
Dyck, Michael K., et al.. (1999). Insulin-like growth factor-I overexpression in the testes of transgenic mice. Theriogenology. 51(1). 419–419. 1 indexed citations
16.
Pothier, F., et al.. (1999). The production and secretion of human growth hormone into seminal fluid of transgenic mice. Theriogenology. 51(1). 424–424. 1 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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