David E. Ruckerbauer

1.0k total citations
20 papers, 492 citations indexed

About

David E. Ruckerbauer is a scholar working on Molecular Biology, Biomedical Engineering and Control and Systems Engineering. According to data from OpenAlex, David E. Ruckerbauer has authored 20 papers receiving a total of 492 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 9 papers in Biomedical Engineering and 1 paper in Control and Systems Engineering. Recurrent topics in David E. Ruckerbauer's work include Microbial Metabolic Engineering and Bioproduction (19 papers), Viral Infectious Diseases and Gene Expression in Insects (10 papers) and Biofuel production and bioconversion (8 papers). David E. Ruckerbauer is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (19 papers), Viral Infectious Diseases and Gene Expression in Insects (10 papers) and Biofuel production and bioconversion (8 papers). David E. Ruckerbauer collaborates with scholars based in Austria, Denmark and Portugal. David E. Ruckerbauer's co-authors include Jürgen Zanghellini, Christian Jungreuthmayer, Michael Hanscho, Matthias P. Gerstl, Nicole Borth, Klaus Natter, Bernd Nidetzky, Sepp D. Kohlwein, Harald F. Hofbauer and Stefan Krahulec and has published in prestigious journals such as PLoS ONE, Scientific Reports and PLoS Computational Biology.

In The Last Decade

David E. Ruckerbauer

20 papers receiving 487 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David E. Ruckerbauer Austria 11 451 109 45 39 36 20 492
Michael Hanscho Austria 9 482 1.1× 91 0.8× 13 0.3× 22 0.6× 24 0.7× 15 505
Kirk J. Leister United States 12 409 0.9× 56 0.5× 11 0.2× 12 0.3× 28 0.8× 20 529
Michael Möllney Germany 5 456 1.0× 101 0.9× 41 0.9× 5 0.1× 15 0.4× 7 486
Kathy R. Albe United States 6 282 0.6× 23 0.2× 29 0.6× 43 1.1× 6 0.2× 10 358
Badr RAÏS France 11 320 0.7× 18 0.2× 69 1.5× 29 0.7× 10 0.3× 11 437
Katja Tummler Germany 7 243 0.5× 60 0.6× 12 0.3× 5 0.1× 4 0.1× 9 279
Hock Chuan Yeo Singapore 12 342 0.8× 58 0.5× 5 0.1× 6 0.2× 7 0.2× 22 429
Hulda S. Haraldsdóttir Luxembourg 8 379 0.8× 82 0.8× 20 0.4× 2 0.1× 36 1.0× 10 427
Sarantos Kyriakopoulos United Kingdom 11 385 0.9× 58 0.5× 3 0.1× 9 0.2× 12 0.3× 14 423
Maria Pires Pacheco Luxembourg 11 422 0.9× 85 0.8× 7 0.2× 5 0.1× 6 0.2× 24 512

Countries citing papers authored by David E. Ruckerbauer

Since Specialization
Citations

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

Fields of papers citing papers by David E. Ruckerbauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David E. Ruckerbauer. 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 David E. Ruckerbauer. The network helps show where David E. Ruckerbauer may publish in the future.

Co-authorship network of co-authors of David E. Ruckerbauer

This figure shows the co-authorship network connecting the top 25 collaborators of David E. Ruckerbauer. A scholar is included among the top collaborators of David E. Ruckerbauer 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 David E. Ruckerbauer. David E. Ruckerbauer 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.
Hefzi, Hooman, Songyuan Li, Lasse Ebdrup Pedersen, et al.. (2021). A metabolic CRISPR-Cas9 screen in Chinese hamster ovary cells identifies glutamine-sensitive genes. Metabolic Engineering. 66. 114–122. 25 indexed citations
2.
Hanscho, Michael, et al.. (2021). Inclusion of maintenance energy improves the intracellular flux predictions of CHO. PLoS Computational Biology. 17(6). e1009022–e1009022. 7 indexed citations
3.
Ruckerbauer, David E., Klaus Natter, Michael Hanscho, et al.. (2020). What CHO is made of: Variations in the biomass composition of Chinese hamster ovary cell lines. Metabolic Engineering. 61. 288–300. 52 indexed citations
4.
Ruckerbauer, David E., et al.. (2020). Error propagation in constraint‐based modeling of Chinese hamster ovary cells. Biotechnology Journal. 16(4). e2000320–e2000320. 5 indexed citations
5.
Ruckerbauer, David E., et al.. (2020). Key Challenges in Designing CHO Chassis Platforms. Processes. 8(6). 643–643. 12 indexed citations
6.
Schoeny, Harald, Christina Troyer, Cristina Coman, et al.. (2019). Robust Analytical Methods for the Accurate Quantification of the Total Biomass Composition of Mammalian Cells. Methods in molecular biology. 2088. 119–160. 6 indexed citations
7.
Dhiman, Heena, Matthias P. Gerstl, David E. Ruckerbauer, et al.. (2019). Genetic and Epigenetic Variation across Genes Involved in Energy Metabolism and Mitochondria of Chinese Hamster Ovary Cell Lines. Biotechnology Journal. 14(7). e1800681–e1800681. 19 indexed citations
8.
Jungreuthmayer, Christian, et al.. (2017). Designing Optimized Production Hosts by Metabolic Modeling. Methods in molecular biology. 1716. 371–387. 1 indexed citations
9.
Ruckerbauer, David E., et al.. (2017). What can mathematical modelling say about CHO metabolism and protein glycosylation?. Computational and Structural Biotechnology Journal. 15. 212–221. 37 indexed citations
10.
Gerstl, Matthias P., Michael Hanscho, David E. Ruckerbauer, Jürgen Zanghellini, & Nicole Borth. (2017). CHOmine: an integrated data warehouse for CHO systems biology and modeling. Database. 2017. 6 indexed citations
11.
Sprenger, Richard R., Kirill V. Tarasov, David E. Ruckerbauer, et al.. (2015). Quantitative Analysis of Proteome and Lipidome Dynamics Reveals Functional Regulation of Global Lipid Metabolism. Chemistry & Biology. 22(3). 412–425. 61 indexed citations
12.
Ruckerbauer, David E., Christian Jungreuthmayer, & Jürgen Zanghellini. (2015). Predicting genetic engineering targets with Elementary Flux Mode Analysis: a review of four current methods. New Biotechnology. 32(6). 534–546. 9 indexed citations
13.
Jungreuthmayer, Christian, David E. Ruckerbauer, Matthias P. Gerstl, Michael Hanscho, & Jürgen Zanghellini. (2015). Avoiding the Enumeration of Infeasible Elementary Flux Modes by Including Transcriptional Regulatory Rules in the Enumeration Process Saves Computational Costs. PLoS ONE. 10(6). e0129840–e0129840. 9 indexed citations
14.
Gerstl, Matthias P., David E. Ruckerbauer, Diethard Mattanovich, Christian Jungreuthmayer, & Jürgen Zanghellini. (2015). Metabolomics integrated elementary flux mode analysis in large metabolic networks. Scientific Reports. 5(1). 8930–8930. 37 indexed citations
15.
Ruckerbauer, David E., Christian Jungreuthmayer, & Jürgen Zanghellini. (2014). Design of Optimally Constructed Metabolic Networks of Minimal Functionality. PLoS ONE. 9(3). e92583–e92583. 12 indexed citations
16.
Reichart, Benedikt, et al.. (2014). Benzo annulated cycloheptatriene PCP pincer iridium complexes. Dalton Transactions. 43(32). 12187–12199. 6 indexed citations
17.
Ruckerbauer, David E., Christian Jungreuthmayer, & Jürgen Zanghellini. (2014). Design of optimally constructed metabolic networks of minimal functionality. New Biotechnology. 31. S28–S28. 1 indexed citations
18.
Jungreuthmayer, Christian, David E. Ruckerbauer, & Jürgen Zanghellini. (2013). regEfmtool: Speeding up elementary flux mode calculation using transcriptional regulatory rules in the form of three-state logic. Biosystems. 113(1). 37–39. 27 indexed citations
19.
Zanghellini, Jürgen, David E. Ruckerbauer, Michael Hanscho, & Christian Jungreuthmayer. (2013). Elementary flux modes in a nutshell: Properties, calculation and applications. Biotechnology Journal. 8(9). 1009–1016. 71 indexed citations
20.
Hanscho, Michael, David E. Ruckerbauer, Neha Chauhan, et al.. (2012). Nutritional requirements of the BY series ofSaccharomyces cerevisiaestrains for optimum growth. FEMS Yeast Research. 12(7). 796–808. 89 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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