Andreas Milias‐Argeitis

1.5k total citations
34 papers, 897 citations indexed

About

Andreas Milias‐Argeitis is a scholar working on Molecular Biology, Genetics and Biophysics. According to data from OpenAlex, Andreas Milias‐Argeitis has authored 34 papers receiving a total of 897 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 6 papers in Genetics and 4 papers in Biophysics. Recurrent topics in Andreas Milias‐Argeitis's work include Gene Regulatory Network Analysis (23 papers), Microbial Metabolic Engineering and Bioproduction (8 papers) and Fungal and yeast genetics research (6 papers). Andreas Milias‐Argeitis is often cited by papers focused on Gene Regulatory Network Analysis (23 papers), Microbial Metabolic Engineering and Bioproduction (8 papers) and Fungal and yeast genetics research (6 papers). Andreas Milias‐Argeitis collaborates with scholars based in Switzerland, Netherlands and United States. Andreas Milias‐Argeitis's co-authors include Mustafa Khammash, John Lygeros, Marc Rullan, Sean Summers, P. Buchmann, Stephanie K. Aoki, Jakob Ruess, Hana El‐Samad, Ignacio A. Zuleta and David Pincus and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Andreas Milias‐Argeitis

34 papers receiving 887 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andreas Milias‐Argeitis Switzerland 14 753 142 134 126 120 34 897
Christoph Zechner Germany 15 1.2k 1.6× 103 0.7× 141 1.1× 136 1.1× 41 0.3× 41 1.4k
Joerg Stelling Switzerland 16 915 1.2× 74 0.5× 171 1.3× 106 0.8× 42 0.3× 28 1.1k
John Wagner Australia 19 831 1.1× 183 1.3× 170 1.3× 91 0.7× 99 0.8× 30 1.4k
Samuel Bottani France 13 720 1.0× 291 2.0× 120 0.9× 231 1.8× 98 0.8× 22 1.0k
Javier Macía Spain 16 776 1.0× 96 0.7× 177 1.3× 143 1.1× 114 0.9× 32 945
Jonathan R. Karr United States 14 1.4k 1.8× 51 0.4× 207 1.5× 228 1.8× 23 0.2× 33 1.6k
Marcelo Behar United States 20 902 1.2× 71 0.5× 61 0.5× 80 0.6× 52 0.4× 23 1.3k
Barbara Di Ventura Germany 16 1.0k 1.3× 289 2.0× 139 1.0× 219 1.7× 301 2.5× 37 1.3k
Sara Hooshangi United States 11 816 1.1× 46 0.3× 178 1.3× 244 1.9× 30 0.3× 32 1.1k
Yoon Sup Choi South Korea 9 632 0.8× 112 0.8× 34 0.3× 87 0.7× 73 0.6× 12 870

Countries citing papers authored by Andreas Milias‐Argeitis

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Milias‐Argeitis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andreas Milias‐Argeitis. 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 Andreas Milias‐Argeitis. The network helps show where Andreas Milias‐Argeitis may publish in the future.

Co-authorship network of co-authors of Andreas Milias‐Argeitis

This figure shows the co-authorship network connecting the top 25 collaborators of Andreas Milias‐Argeitis. A scholar is included among the top collaborators of Andreas Milias‐Argeitis 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 Andreas Milias‐Argeitis. Andreas Milias‐Argeitis 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.
Milias‐Argeitis, Andreas, et al.. (2025). Experimentally Guided Iterative Parameter Estimation for Predictive Chemical Oscillator Models. Angewandte Chemie International Edition. 64(38). e202511413–e202511413. 1 indexed citations
2.
Galenkamp, Nicole Stéphanie, et al.. (2024). Allostery can convert binding free energies into concerted domain motions in enzymes. Nature Communications. 15(1). 10109–10109. 6 indexed citations
3.
Takhaveev, Vakil, Edward Smith, Marten L. Chaillet, et al.. (2023). Temporal segregation of biosynthetic processes is responsible for metabolic oscillations during the budding yeast cell cycle. Nature Metabolism. 5(2). 294–313. 19 indexed citations
4.
Milias‐Argeitis, Andreas, et al.. (2022). TORC1 and PKA activity towards ribosome biogenesis oscillates in synchrony with the budding yeast cell cycle. Journal of Cell Science. 135(18). 14 indexed citations
5.
Milias‐Argeitis, Andreas, et al.. (2022). Systematic In Vivo Characterization of Fluorescent Protein Maturation in Budding Yeast. ACS Synthetic Biology. 11(3). 1129–1141. 14 indexed citations
6.
Novarina, Daniele, et al.. (2022). A user-friendly and streamlined protocol for CRISPR/Cas9 genome editing in budding yeast. STAR Protocols. 3(2). 101358–101358. 6 indexed citations
7.
Milias‐Argeitis, Andreas, et al.. (2021). Moment-based uncertainty propagation for deterministic biochemical network models with rational reaction rates. 2021 European Control Conference (ECC). 878–883. 1 indexed citations
8.
Litsios, Athanasios, Daphne H. E. W. Huberts, Alexander Schmidt, et al.. (2019). Differential scaling between G1 protein production and cell size dynamics promotes commitment to the cell division cycle in budding yeast. Nature Cell Biology. 21(11). 1382–1392. 55 indexed citations
9.
Papagiannakis, Alexandros, et al.. (2019). Inference of the High-Level Interaction Topology between the Metabolic and Cell-Cycle Oscillators from Single-Cell Dynamics. Cell Systems. 9(4). 354–365.e6. 13 indexed citations
10.
Zhang, Zheng, Andreas Milias‐Argeitis, & Matthias Heinemann. (2018). Dynamic single-cell NAD(P)H measurement reveals oscillatory metabolism throughout the E. coli cell division cycle. Scientific Reports. 8(1). 2162–2162. 25 indexed citations
11.
Rullan, Marc, Dirk Benzinger, Gregor W. Schmidt, Andreas Milias‐Argeitis, & Mustafa Khammash. (2018). An Optogenetic Platform for Real-Time, Single-Cell Interrogation of Stochastic Transcriptional Regulation. Molecular Cell. 70(4). 745–756.e6. 103 indexed citations
12.
García, Hernán G., Dirk Benzinger, Marc Rullan, et al.. (2018). Principles of Systems Biology, No. 30. Cell Systems. 7(1). 1–2. 6 indexed citations
13.
Ortega, Álvaro D., et al.. (2018). Assessment of the interaction between the flux‐signaling metabolite fructose‐1,6‐bisphosphate and the bacterial transcription factors CggR and Cra. Molecular Microbiology. 109(3). 278–290. 22 indexed citations
14.
Milias‐Argeitis, Andreas, et al.. (2017). Parameter inference for stochastic single-cell dynamics from lineage tree data. BMC Systems Biology. 11(1). 52–52. 9 indexed citations
15.
Milias‐Argeitis, Andreas, et al.. (2016). Elucidation of Genetic Interactions in the Yeast GATA-Factor Network Using Bayesian Model Selection. PLoS Computational Biology. 12(3). e1004784–e1004784. 11 indexed citations
16.
Milias‐Argeitis, Andreas, Marc Rullan, Stephanie K. Aoki, P. Buchmann, & Mustafa Khammash. (2016). Automated optogenetic feedback control for precise and robust regulation of gene expression and cell growth. Nature Communications. 7(1). 12546–12546. 175 indexed citations
17.
Milias‐Argeitis, Andreas & Mustafa Khammash. (2014). Optimization-based Lyapunov function construction for continuous-time Markov chains with affine transition rates. 1. 4617–4622. 4 indexed citations
18.
Ruess, Jakob, Andreas Milias‐Argeitis, & John Lygeros. (2013). Designing experiments to understand the variability in biochemical reaction networks. Journal of The Royal Society Interface. 10(88). 20130588–20130588. 46 indexed citations
19.
Milias‐Argeitis, Andreas, Sean Summers, Jacob Stewart-Ornstein, et al.. (2011). In silico feedback for in vivo regulation of a gene expression circuit. Nature Biotechnology. 29(12). 1114–1116. 205 indexed citations
20.
Cinquemani, Eugenio, Andreas Milias‐Argeitis, & John Lygeros. (2008). Identification of Genetic Regulatory Networks: A Stochastic Hybrid Approach. IFAC Proceedings Volumes. 41(2). 301–306. 2 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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