Fabian Machens

599 total citations
19 papers, 467 citations indexed

About

Fabian Machens is a scholar working on Molecular Biology, Plant Science and Materials Chemistry. According to data from OpenAlex, Fabian Machens has authored 19 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 10 papers in Plant Science and 2 papers in Materials Chemistry. Recurrent topics in Fabian Machens's work include CRISPR and Genetic Engineering (7 papers), Plant-Microbe Interactions and Immunity (5 papers) and Fungal and yeast genetics research (5 papers). Fabian Machens is often cited by papers focused on CRISPR and Genetic Engineering (7 papers), Plant-Microbe Interactions and Immunity (5 papers) and Fungal and yeast genetics research (5 papers). Fabian Machens collaborates with scholars based in Germany, Bulgaria and Slovenia. Fabian Machens's co-authors include Katrin Messerschmidt, Reinhard Hehl, Arren Bar‐Even, Bernd Mueller‐Roeber, Marlies Becker, Salma Balazadeh, Lorenz Bülow, Dietmar J. Stahl, Jutta Schulze and A. S. M. Towhidul Alam and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and PLANT PHYSIOLOGY.

In The Last Decade

Fabian Machens

19 papers receiving 461 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fabian Machens Germany 13 393 191 75 35 35 19 467
Eric C. Holmes United States 6 184 0.5× 278 1.5× 40 0.5× 15 0.4× 22 0.6× 11 474
Chunjun Zhan China 11 271 0.7× 31 0.2× 101 1.3× 33 0.9× 22 0.6× 26 321
Fabienne Hilgers Germany 10 219 0.6× 46 0.2× 106 1.4× 45 1.3× 26 0.7× 18 358
Jasmin Elgin Fischer Austria 9 468 1.2× 55 0.3× 109 1.5× 65 1.9× 18 0.5× 12 506
Brian T. Burger United States 6 287 0.7× 268 1.4× 16 0.2× 26 0.7× 23 0.7× 7 364
Drew M. DeLorenzo United States 11 343 0.9× 45 0.2× 169 2.3× 74 2.1× 92 2.6× 11 456
Cristiana Gomes de Oliveira Dal’Molin Australia 8 672 1.7× 158 0.8× 277 3.7× 17 0.5× 146 4.2× 9 781
Thomas Gassler Switzerland 8 560 1.4× 38 0.2× 238 3.2× 23 0.7× 100 2.9× 10 634
Kuimei Liu China 10 229 0.6× 95 0.5× 169 2.3× 35 1.0× 10 0.3× 15 302

Countries citing papers authored by Fabian Machens

Since Specialization
Citations

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

Fields of papers citing papers by Fabian Machens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabian Machens

This figure shows the co-authorship network connecting the top 25 collaborators of Fabian Machens. A scholar is included among the top collaborators of Fabian Machens 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 Fabian Machens. Fabian Machens 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.
Alam, A. S. M. Towhidul, et al.. (2023). Engineering and evolution of the complete Reductive Glycine Pathway in Saccharomyces cerevisiae for formate and CO2 assimilation. Metabolic Engineering. 81. 167–181. 21 indexed citations
2.
Machens, Fabian, et al.. (2023). Optimizing E. coli as a formatotrophic platform for bioproduction via the reductive glycine pathway. Frontiers in Bioengineering and Biotechnology. 11. 1091899–1091899. 37 indexed citations
3.
Machens, Fabian, et al.. (2023). PhiReX 2.0: A Programmable and Red Light-Regulated CRISPR-dCas9 System for the Activation of Endogenous Genes in Saccharomyces cerevisiae. ACS Synthetic Biology. 12(4). 1046–1057. 6 indexed citations
4.
Machens, Fabian, et al.. (2020). The AssemblX Toolkit for Reliable and User-Friendly Multigene Assemblies. Methods in molecular biology. 2205. 49–67. 1 indexed citations
5.
Machens, Fabian, et al.. (2020). Unusual DNA-binding properties of the Arabidopsis thaliana WRKY50 transcription factor at target gene promoters. Plant Cell Reports. 40(1). 69–83. 8 indexed citations
6.
Machens, Fabian, et al.. (2019). Core Catalysis of the Reductive Glycine Pathway Demonstrated in Yeast. ACS Synthetic Biology. 8(5). 911–917. 89 indexed citations
7.
Lukan, Tjaša, Fabian Machens, Anna Coll, et al.. (2018). Plant X-tender: An extension of the AssemblX system for the assembly and expression of multigene constructs in plants. PLoS ONE. 13(1). e0190526–e0190526. 14 indexed citations
8.
Machens, Fabian, Salma Balazadeh, Bernd Mueller‐Roeber, & Katrin Messerschmidt. (2017). Synthetic Promoters and Transcription Factors for Heterologous Protein Expression in Saccharomyces cerevisiae. Frontiers in Bioengineering and Biotechnology. 5. 63–63. 34 indexed citations
9.
Machens, Fabian, et al.. (2017). AssemblX: a user-friendly toolkit for rapid and reliable multi-gene assemblies. Nucleic Acids Research. 45(10). gkx034–gkx034. 21 indexed citations
10.
Machens, Fabian, et al.. (2017). PhiReX: a programmable and red light-regulated protein expression switch for yeast. Nucleic Acids Research. 45(15). 9193–9205. 26 indexed citations
11.
Balazadeh, Salma, et al.. (2017). Plant-Derived Transcription Factors for Orthologous Regulation of Gene Expression in the Yeast Saccharomyces cerevisiae. ACS Synthetic Biology. 6(9). 1742–1756. 36 indexed citations
12.
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
14.
Machens, Fabian, et al.. (2013). Identification of a novel type of WRKY transcription factor binding site in elicitor-responsive cis-sequences from Arabidopsis thaliana. Plant Molecular Biology. 84(4-5). 371–385. 65 indexed citations
15.
Machens, Fabian, et al.. (2013). Differential expression of the TMV resistance gene N prevents a hypersensitive response in seeds and during germination. Planta. 237(3). 909–915. 5 indexed citations
16.
Machens, Fabian, et al.. (2013). Inducible expression of p50 from TMV for increased resistance to bacterial crown gall disease in tobacco. Plant Molecular Biology. 84(1-2). 111–123. 12 indexed citations
17.
Machens, Fabian, Marlies Becker, Jutta Schulze, et al.. (2012). Integration of Bioinformatics and Synthetic Promoters Leads to the Discovery of Novel Elicitor-Responsive cis-Regulatory Sequences in Arabidopsis      . PLANT PHYSIOLOGY. 160(1). 178–191. 51 indexed citations
18.
Machens, Fabian, et al.. (2010). Factors required for the high CO2 specificity of the anaerobically induced maize GapC4 promoter in transgenic tobacco. Plant Cell & Environment. 34(2). 220–229. 3 indexed citations
19.
Hellert, Jan, et al.. (2010). Alternative splicing of the maize Ac transposase transcript in transgenic sugar beet (Beta vulgaris L.). Plant Molecular Biology. 74(1-2). 19–32. 4 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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