Maren Wehrs

1.3k total citations
17 papers, 865 citations indexed

About

Maren Wehrs is a scholar working on Molecular Biology, Biomedical Engineering and Genetics. According to data from OpenAlex, Maren Wehrs has authored 17 papers receiving a total of 865 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 9 papers in Biomedical Engineering and 3 papers in Genetics. Recurrent topics in Maren Wehrs's work include Microbial Metabolic Engineering and Bioproduction (12 papers), Biofuel production and bioconversion (8 papers) and CRISPR and Genetic Engineering (3 papers). Maren Wehrs is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (12 papers), Biofuel production and bioconversion (8 papers) and CRISPR and Genetic Engineering (3 papers). Maren Wehrs collaborates with scholars based in United States, Germany and Denmark. Maren Wehrs's co-authors include Aindrila Mukhopadhyay, Deepti Tanjore, Todd Pray, Jay D. Keasling, Jeff Lievense, Thomas Eng, Blake A. Simmons, Leo d’Espaux, Amanda Reider Apel and Nathan J. Hillson and has published in prestigious journals such as Nucleic Acids Research, Scientific Reports and Green Chemistry.

In The Last Decade

Maren Wehrs

17 papers receiving 854 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maren Wehrs United States 13 662 343 136 90 64 17 865
Helcio Burd United States 11 799 1.2× 336 1.0× 143 1.1× 104 1.2× 71 1.1× 11 1.0k
Veronica T. Benites United States 19 856 1.3× 292 0.9× 125 0.9× 150 1.7× 157 2.5× 34 1.0k
Yvonne Nygård Sweden 18 908 1.4× 464 1.4× 163 1.2× 186 2.1× 136 2.1× 46 1.2k
Joeri Beauprez Belgium 16 740 1.1× 357 1.0× 68 0.5× 44 0.5× 40 0.6× 22 888
Xiaomei Zheng China 14 660 1.0× 229 0.7× 156 1.1× 131 1.5× 127 2.0× 29 825
Zi Wei Luo China 13 494 0.7× 188 0.5× 90 0.7× 33 0.4× 101 1.6× 25 648
Zaigao Tan China 15 854 1.3× 293 0.9× 70 0.5× 126 1.4× 42 0.7× 27 982
Seon-Won Kim South Korea 18 740 1.1× 148 0.4× 78 0.6× 116 1.3× 277 4.3× 30 1.0k
Guokun Wang China 18 850 1.3× 319 0.9× 139 1.0× 67 0.7× 255 4.0× 37 1.1k
Florence Bordes France 21 1.0k 1.5× 432 1.3× 76 0.6× 29 0.3× 63 1.0× 28 1.2k

Countries citing papers authored by Maren Wehrs

Since Specialization
Citations

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

Fields of papers citing papers by Maren Wehrs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maren Wehrs

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

All Works

17 of 17 papers shown
1.
Iwai, Kosuke, Maren Wehrs, Megan E. Garber, et al.. (2022). Scalable and automated CRISPR-based strain engineering using droplet microfluidics. Microsystems & Nanoengineering. 8(1). 31–31. 26 indexed citations
2.
Wehrs, Maren, Deepanwita Banerjee, Jan‐Philip Prahl, et al.. (2020). Investigation of Bar-seq as a method to study population dynamics of Saccharomyces cerevisiae deletion library during bioreactor cultivation. Microbial Cell Factories. 19(1). 167–167. 8 indexed citations
3.
Wehrs, Maren, et al.. (2020). You get what you screen for: on the value of fermentation characterization in high-throughput strain improvements in industrial settings. Journal of Industrial Microbiology & Biotechnology. 47(11). 913–927. 17 indexed citations
4.
Geiselman, Gina M., James Kirby, Alexander Landera, et al.. (2020). Conversion of poplar biomass into high-energy density tricyclic sesquiterpene jet fuel blendstocks. Microbial Cell Factories. 19(1). 208–208. 23 indexed citations
5.
Barajas, Jesus F., Maren Wehrs, Milton To, et al.. (2019). Isolation and Characterization of Bacterial Cellulase Producers for Biomass Deconstruction: A Microbiology Laboratory Course. Journal of Microbiology and Biology Education. 20(2). 6 indexed citations
6.
Nora, Luísa Czamanski, Maren Wehrs, Joonhoon Kim, et al.. (2019). A toolset of constitutive promoters for metabolic engineering of Rhodosporidium toruloides. Microbial Cell Factories. 18(1). 117–117. 44 indexed citations
7.
Wehrs, Maren, John M. Gladden, Yuzhong Liu, et al.. (2019). Sustainable bioproduction of the blue pigment indigoidine: Expanding the range of heterologous products inR. toruloidesto include non-ribosomal peptides. Green Chemistry. 21(12). 3394–3406. 67 indexed citations
8.
Wehrs, Maren, Deepti Tanjore, Thomas Eng, et al.. (2019). Engineering Robust Production Microbes for Large-Scale Cultivation. Trends in Microbiology. 27(6). 524–537. 173 indexed citations
9.
Wehrs, Maren, John M. Gladden, Yuzhong Liu, et al.. (2019). Correction: Sustainable bioproduction of the blue pigment indigoidine: Expanding the range of heterologous products in R. toruloides to include non-ribosomal peptides. Green Chemistry. 21(21). 6027–6029. 6 indexed citations
10.
Rigual, Victoria, Gabriella Papa, Alberto Rodriguez, et al.. (2019). Evaluating Protic Ionic Liquid for Woody Biomass One-Pot Pretreatment + Saccharification, Followed by Rhodosporidium toruloides Cultivation. ACS Sustainable Chemistry & Engineering. 8(2). 782–791. 18 indexed citations
11.
Thompson, Mitchell G., Jesus F. Barajas, Maren Wehrs, et al.. (2018). Isolation and characterization of novel mutations in the pSC101 origin that increase copy number. Scientific Reports. 8(1). 1590–1590. 36 indexed citations
12.
Wehrs, Maren, Jan‐Philip Prahl, Yuchen Li, et al.. (2018). Production efficiency of the bacterial non-ribosomal peptide indigoidine relies on the respiratory metabolic state in S. cerevisiae. Microbial Cell Factories. 17(1). 193–193. 39 indexed citations
13.
Xu, Feng, Jian Sun, Maren Wehrs, et al.. (2018). Biocompatible Choline-Based Deep Eutectic Solvents Enable One-Pot Production of Cellulosic Ethanol. ACS Sustainable Chemistry & Engineering. 6(7). 8914–8919. 76 indexed citations
14.
d’Espaux, Leo, Amit Ghosh, Weerawat Runguphan, et al.. (2017). Engineering high-level production of fatty alcohols by Saccharomyces cerevisiae from lignocellulosic feedstocks. Metabolic Engineering. 42. 115–125. 88 indexed citations
15.
Apel, Amanda Reider, Leo d’Espaux, Maren Wehrs, et al.. (2016). A Cas9-based toolkit to program gene expression in Saccharomyces cerevisiae. Nucleic Acids Research. 45(1). 496–508. 219 indexed citations
16.
Hanko, Erik K. R., et al.. (2016). A cis-regulatory sequence from a short intergenic region gives rise to a strong microbe-associated molecular pattern-responsive synthetic promoter. Molecular Genetics and Genomics. 291(3). 1155–1165. 1 indexed citations
17.
Hanko, Erik K. R., et al.. (2015). Functional dissection of a strong and specific microbe‐associated molecular pattern‐responsive synthetic promoter. Plant Biotechnology Journal. 14(1). 61–71. 18 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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