Klaus Mauch

1.9k total citations
31 papers, 1.4k citations indexed

About

Klaus Mauch is a scholar working on Molecular Biology, Clinical Biochemistry and Computational Theory and Mathematics. According to data from OpenAlex, Klaus Mauch has authored 31 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 4 papers in Clinical Biochemistry and 3 papers in Computational Theory and Mathematics. Recurrent topics in Klaus Mauch's work include Microbial Metabolic Engineering and Bioproduction (17 papers), Gene Regulatory Network Analysis (10 papers) and Viral Infectious Diseases and Gene Expression in Insects (5 papers). Klaus Mauch is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (17 papers), Gene Regulatory Network Analysis (10 papers) and Viral Infectious Diseases and Gene Expression in Insects (5 papers). Klaus Mauch collaborates with scholars based in Germany, Spain and Italy. Klaus Mauch's co-authors include Matthias Reuß, Joachim Schmid, Naruemol Noisommit‐Rizzi, Christophe Chassagnole, Ute Hofmann, Klaus Maier, Diana Visser, Jochen Schaub, Jens Niklas and Joseph J. Heijnen and has published in prestigious journals such as Chemical Engineering Science, Biotechnology and Bioengineering and Toxicological Sciences.

In The Last Decade

Klaus Mauch

29 papers receiving 1.4k citations

Peers

Klaus Mauch
Daniel C. Zielinski United States
Nikolaus Sonnenschein Denmark
Aarash Bordbar United States
Sayed‐Amir Marashi Iran
Joep Vanlier Netherlands
Monica L. Mo United States
Iman Famili United States
Jianlin Xu United States
Le You China
I.A. Nimmo United Kingdom
Daniel C. Zielinski United States
Klaus Mauch
Citations per year, relative to Klaus Mauch Klaus Mauch (= 1×) peers Daniel C. Zielinski

Countries citing papers authored by Klaus Mauch

Since Specialization
Citations

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

Fields of papers citing papers by Klaus Mauch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Klaus Mauch

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

All Works

20 of 20 papers shown
1.
Mauch, Klaus, et al.. (2019). The Move toward Biopharma 4.0. Genetic Engineering & Biotechnology News. 39(6). 53–55. 22 indexed citations
2.
3.
Villaverde, Alejandro F., et al.. (2016). Metabolic engineering with multi-objective optimization of kinetic models. Journal of Biotechnology. 222. 1–8. 29 indexed citations
4.
Villaverde, Alejandro F., Klaus Mauch, Dirk Müller, et al.. (2015). A consensus approach for estimating the predictive accuracy of dynamic models in biology. Computer Methods and Programs in Biomedicine. 119(1). 17–28. 22 indexed citations
5.
Klein, Sebastian G., Silvia Maggioni, Daniel Mueller, et al.. (2015). In SilicoModeling for the Prediction of Dose and Pathway-Related Adverse Effects in Humans FromIn VitroRepeated-Dose Studies. Toxicological Sciences. 149(1). 55–66. 12 indexed citations
6.
Villaverde, Alejandro F., David Henriques, Kieran Smallbone, et al.. (2015). BioPreDyn-bench: a suite of benchmark problems for dynamic modelling in systems biology. BMC Systems Biology. 9(1). 8–8. 53 indexed citations
7.
Gonçalves, Emanuel, Jens Niklas, Klaus Mauch, et al.. (2013). Bridging the layers: towards integration of signal transduction, regulation and metabolism into mathematical models. Molecular BioSystems. 9(7). 1576–1583. 68 indexed citations
8.
Péry, Alexandre R.R., et al.. (2013). A Multi-Scale Modeling Framework for Individualized, Spatiotemporal Prediction of Drug Effects and Toxicological Risk. Frontiers in Pharmacology. 3. 204–204. 46 indexed citations
9.
Niklas, Jens, et al.. (2012). Central energy metabolism remains robust in acute steatotic hepatocytes challenged by a high free fatty acid load. BMB Reports. 45(7). 396–401. 16 indexed citations
10.
Niklas, Jens, et al.. (2012). Quantitative Evaluation and Prediction of Drug Effects and Toxicological Risk Using Mechanistic Multiscale Models. Molecular Informatics. 32(1). 14–23. 7 indexed citations
11.
Maier, Klaus, Ute Hofmann, Matthias Reuß, & Klaus Mauch. (2010). Dynamics and Control of the Central Carbon Metabolism in Hepatoma Cells. BMC Systems Biology. 4(1). 54–54. 33 indexed citations
12.
Maier, Klaus, Ute Hofmann, Alexander Bauer, et al.. (2009). Quantification of statin effects on hepatic cholesterol synthesis by transient 13C-flux analysis. Metabolic Engineering. 11(4-5). 292–309. 43 indexed citations
13.
Maier, Klaus, Ute Hofmann, Matthias Reuß, & Klaus Mauch. (2007). Identification of metabolic fluxes in hepatic cells from transient 13C‐labeling experiments: Part II. Flux estimation. Biotechnology and Bioengineering. 100(2). 355–370. 76 indexed citations
14.
Schaub, Jochen, Klaus Mauch, & Matthias Reuß. (2007). Metabolic flux analysis in Escherichia coli by integrating isotopic dynamic and isotopic stationary 13C labeling data. Biotechnology and Bioengineering. 99(5). 1170–1185. 79 indexed citations
15.
Sevilla, A., et al.. (2005). Model of central and trimethylammonium metabolism for optimizing l-carnitine production by E. coli. Metabolic Engineering. 7(5-6). 401–425. 10 indexed citations
16.
Mauch, Klaus, et al.. (2003). Integration of Physiology and Fluid Dynamics. Advances in biochemical engineering, biotechnology. 80. 19–68. 51 indexed citations
17.
Chassagnole, Christophe, Naruemol Noisommit‐Rizzi, Joachim Schmid, Klaus Mauch, & Matthias Reuß. (2002). Dynamic modeling of the central carbon metabolism of Escherichia coli. Biotechnology and Bioengineering. 79(1). 53–73. 395 indexed citations
18.
BECKER, J, et al.. (2002). Determination of in vivo kinetics of the starvation-induced Hxt5 glucose transporter of. FEMS Yeast Research. 2(3). 283–291. 42 indexed citations
19.
Visser, Diana, et al.. (2000). Tendency Modeling: A New Approach to Obtain Simplified Kinetic Models of Metabolism Applied to Saccharomyces cerevisiae. Metabolic Engineering. 2(3). 252–275. 45 indexed citations
20.

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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