Rainer Machné

1.3k total citations
14 papers, 278 citations indexed

About

Rainer Machné is a scholar working on Molecular Biology, Ecology and Plant Science. According to data from OpenAlex, Rainer Machné has authored 14 papers receiving a total of 278 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 2 papers in Ecology and 2 papers in Plant Science. Recurrent topics in Rainer Machné's work include Microbial Metabolic Engineering and Bioproduction (6 papers), Fungal and yeast genetics research (4 papers) and Bioinformatics and Genomic Networks (4 papers). Rainer Machné is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (6 papers), Fungal and yeast genetics research (4 papers) and Bioinformatics and Genomic Networks (4 papers). Rainer Machné collaborates with scholars based in Austria, Germany and Japan. Rainer Machné's co-authors include Douglas B. Murray, Stefan Washietl, Nick Goldman, Ralf Steuer, Henning Knoop, Stefan C. Müller, James Lu, Stefanie Widder, Andrew Finney and Christoph Flamm and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Rainer Machné

12 papers receiving 269 citations

Peers

Rainer Machné
Anika Küken Germany
Anne Arnold Germany
Ralph Ewald Germany
Mehmet Tardu Türkiye
Ben Ernest United States
Rainer Machné
Citations per year, relative to Rainer Machné Rainer Machné (= 1×) peers Annie Château

Countries citing papers authored by Rainer Machné

Since Specialization
Citations

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

Fields of papers citing papers by Rainer Machné

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rainer Machné

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

All Works

14 of 14 papers shown
1.
Yao, Lun, David Brandt, Tobias Busche, et al.. (2022). Manipulation of topoisomerase expression inhibits cell division but not growth and reveals a distinctive promoter structure in Synechocystis. Nucleic Acids Research. 50(22). 12790–12808. 7 indexed citations
2.
Machné, Rainer, et al.. (2021). Weighted Consensus Segmentations. Computation. 9(2). 17–17.
3.
Machné, Rainer, Douglas B. Murray, & Peter F. Stadler. (2017). Similarity-Based Segmentation of Multi-Dimensional Signals. Scientific Reports. 7(1). 12355–12355. 11 indexed citations
4.
Machné, Rainer. (2017). Temporal organization of cellular growth in Saccharomyces cerevisiae. University of Vienna.
5.
Lehmann, Robert, Rainer Machné, & Hanspeter Herzel. (2014). The structural code of cyanobacterial genomes. Nucleic Acids Research. 42(14). 8873–8883. 7 indexed citations
6.
Machné, Rainer, et al.. (2014). Time resolved DNA occupancy dynamics during the respiratory oscillation uncover a global reset point in the yeast growth program. Microbial Cell. 1(9). 279–288. 8 indexed citations
7.
Lehmann, Robert, Rainer Machné, Jens Georg, et al.. (2013). How cyanobacteria pose new problems to old methods: challenges in microarray time series analysis. BMC Bioinformatics. 14(1). 133–133. 17 indexed citations
8.
Doose, Gero, Maria S. Alexis, Rebecca Kirsch, et al.. (2013). Mapping the RNA-Seq trash bin. RNA Biology. 10(7). 1204–1210. 11 indexed citations
9.
Machné, Rainer, Willi Gottstein, Masaru Tomita, et al.. (2013). The dynamics of cellular energetics during continuous yeast culture. PubMed. 145. 2708–2711. 8 indexed citations
10.
Machné, Rainer & Douglas B. Murray. (2012). The Yin and Yang of Yeast Transcription: Elements of a Global Feedback System between Metabolism and Chromatin. PLoS ONE. 7(6). e37906–e37906. 32 indexed citations
11.
Müller, Stefan C., Douglas B. Murray, & Rainer Machné. (2012). A new dynamic model for highly efficient mass transfer in aerated bioreactors and consequences for kLa identification. Biotechnology and Bioengineering. 109(12). 2997–3006. 3 indexed citations
12.
Steuer, Ralf, Henning Knoop, & Rainer Machné. (2012). Modelling cyanobacteria: from metabolism to integrative models of phototrophic growth. Journal of Experimental Botany. 63(6). 2259–2274. 41 indexed citations
13.
Washietl, Stefan, Rainer Machné, & Nick Goldman. (2008). Evolutionary footprints of nucleosome positions in yeast. Trends in Genetics. 24(12). 583–587. 63 indexed citations
14.
Machné, Rainer, Andrew Finney, Stefan C. Müller, et al.. (2006). The SBML ODE Solver Library: a native API for symbolic and fast numerical analysis of reaction networks. Bioinformatics. 22(11). 1406–1407. 70 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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