Thomas Millat

651 total citations
29 papers, 486 citations indexed

About

Thomas Millat is a scholar working on Molecular Biology, Biomedical Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Thomas Millat has authored 29 papers receiving a total of 486 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 9 papers in Biomedical Engineering and 6 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Thomas Millat's work include Microbial Metabolic Engineering and Bioproduction (13 papers), Biofuel production and bioconversion (9 papers) and Gene Regulatory Network Analysis (7 papers). Thomas Millat is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (13 papers), Biofuel production and bioconversion (9 papers) and Gene Regulatory Network Analysis (7 papers). Thomas Millat collaborates with scholars based in Germany, United Kingdom and South Africa. Thomas Millat's co-authors include Olaf Wolkenhauer, Klaus Winzer, H. Reinholz, Hubert Bahl, Nigel P. Minton, Holger Janssen, G. Röpke, John R. King, Ralf‐Jörg Fischer and August Wierling and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and Analytical Chemistry.

In The Last Decade

Thomas Millat

28 papers receiving 479 citations

Peers

Thomas Millat

AMPO

GENET

Cheol-Min Ghim South Korea

Søren D. Petersen Denmark

Xiaohu Hu China

Nur Selamoglu United States

Jingshan Wang China

Atul Narang United States

Xiatian Wang China

Anastassiia Moussatova Canada

Francisco Feijó Delgado United States

Cheol-Min Ghim South Korea

Thomas Millat

393 ×1.2

123 ×0.7

15 ×0.2

AMPO

87 ×1.6

GENET

6 ×0.1

Citations per year, relative to Thomas Millat Thomas Millat (= 1×) peers Cheol-Min Ghim

Countries citing papers authored by Thomas Millat

Since Specialization

Citations

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

Fields of papers citing papers by Thomas Millat

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Millat

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

All Works

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20 of 20 papers shown

Humphreys, Christopher M., et al.. (2023). Base editing enables duplex point mutagenesis in Clostridium autoethanogenum at the price of numerous off-target mutations. Frontiers in Bioengineering and Biotechnology. 11. 1211197–1211197. 6 indexed citations

Millat, Thomas, James P. Gilbert, Yoseb Song, et al.. (2022). A genome-scale metabolic model of Cupriavidus necator H16 integrated with TraDIS and transcriptomic data reveals metabolic insights for biotechnological applications. PLoS Computational Biology. 18(5). e1010106–e1010106. 31 indexed citations

Millat, Thomas, Philippe Soucaille, Klaus Winzer, et al.. (2021). Physicochemical and metabolic constraints for thermodynamics-based stoichiometric modelling under mesophilic growth conditions. PLoS Computational Biology. 17(1). e1007694–e1007694. 6 indexed citations

Gilbert, James P., Thomas Millat, Klaus Winzer, et al.. (2019). Gsmodutils: a python based framework for test-driven genome scale metabolic model development. Bioinformatics. 35(18). 3397–3403. 3 indexed citations

Millat, Thomas & Klaus Winzer. (2017). Mathematical modelling of clostridial acetone-butanol-ethanol fermentation. Applied Microbiology and Biotechnology. 101(6). 2251–2271. 26 indexed citations

Millat, Thomas, C. Voigt, Holger Janssen, et al.. (2014). Coenzyme A-transferase-independent butyrate re-assimilation in Clostridium acetobutylicum—evidence from a mathematical model. Applied Microbiology and Biotechnology. 98(21). 9059–9072. 13 indexed citations

Millat, Thomas, Holger Janssen, Graeme J. Thorn, et al.. (2013). A shift in the dominant phenotype governs the pH-induced metabolic switch of Clostridium acetobutylicumin phosphate-limited continuous cultures. Applied Microbiology and Biotechnology. 97(14). 6451–6466. 27 indexed citations

Liebal, Ulf W., Thomas Millat, Jon Marles‐Wright, Richard J. Lewis, & Olaf Wolkenhauer. (2013). Simulations of stressosome activation emphasize allosteric interactions between RsbR and RsbT. BMC Systems Biology. 7(1). 3–3. 14 indexed citations

Liebal, Ulf W., Praveen Kumar Sappa, Thomas Millat, et al.. (2012). Proteolysis of beta-galactosidase following SigmaB activation in Bacillus subtilis. Molecular BioSystems. 8(6). 1806–1814. 5 indexed citations

10.

Haus, Sylvia, Sara Jabbari, Thomas Millat, et al.. (2011). A systems biology approach to investigate the effect of pH-induced gene regulation on solvent production by Clostridium acetobutylicum in continuous culture. BMC Systems Biology. 5(1). 10–10. 42 indexed citations

11.

Sott, Kristin, Maria Smedh, Thomas Millat, et al.. (2010). A mathematical analysis of nuclear intensity dynamics for Mig1-GFP under consideration of bleaching effects and background noise in Saccharomyces cerevisiae. Molecular BioSystems. 7(1). 215–223. 8 indexed citations

12.

Millat, Thomas, Olaf Wolkenhauer, Ralf‐Jörg Fischer, & Hubert Bahl. (2010). Modeling of Cellular Processes: Methods, Data, and Requirements. Methods in molecular biology. 696. 429–447. 1 indexed citations

13.

Liebal, Ulf W., Thomas Millat, Imke G. de Jong, et al.. (2010). How mathematical modelling elucidates signalling in Bacillus subtilis. Molecular Microbiology. 77(5). 1083–1095. 10 indexed citations

14.

Vera, Julio, Thomas Millat, Walter Kölch, & Olaf Wolkenhauer. (2008). Dynamics of receptor and protein transducer homodimerisation. BMC Systems Biology. 2(1). 92–92. 8 indexed citations

15.

Millat, Thomas, et al.. (2008). The role of dynamic stimulation pattern in the analysis of bistable intracellular networks. Biosystems. 92(3). 270–281. 7 indexed citations

16.

Millat, Thomas, et al.. (2008). How quantitative measures unravel design principles in multi-stage phosphorylation cascades. Journal of Theoretical Biology. 254(1). 27–36. 4 indexed citations

17.

Millat, Thomas, Eric Bullinger, Johann M. Rohwer, & Olaf Wolkenhauer. (2006). Approximations and their consequences for dynamic modelling of signal transduction pathways. Mathematical Biosciences. 207(1). 40–57. 28 indexed citations

18.

Reinholz, H., И. В. Морозов, G. Röpke, & Thomas Millat. (2004). Internal versus external conductivity of a dense plasma: Many-particle theory and simulations. Physical Review E. 69(6). 66412–66412. 32 indexed citations

19.

Millat, Thomas, et al.. (2003). Dynamic collision frequency for a two-component plasma. Journal of Physics A Mathematical and General. 36(22). 6259–6264. 15 indexed citations

20.

Wierling, August, Thomas Millat, & G. Röpke. (2001). Dynamical screening corrections to the electron capture rate by 7Be. Nuclear Physics A. 688(1-2). 569–571.

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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