M. Bartl
Impact in
-
- Microbial Metabolic Engineering and Bioproduction
- Gene Regulatory Network Analysis
- Bioinformatics and Genomic Networks
Papers in
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- Microbial Metabolic Engineering and Bioproduction 8
- Gene Regulatory Network Analysis 4
- Protein Structure and Dynamics 3
- Genetics 3
- Bacterial Genetics and Biotechnology 3
- Co-authors
- Pu Li (7 shared papers)Stefan Schuster (7 shared papers)Christoph Kaleta (7 shared papers)Reinhard Guthke (1 shared paper)Frank Wessely (2 shared papers)Lorenz T. Biegler (1 shared paper)Jan Ewald (4 shared papers)Thomas Dandekar (1 shared paper)
- Journals
- Biosystems (1 paper)PLoS Computational Biology (1 paper)Nature Communications (1 paper)BMC Bioinformatics (1 paper)Archives of Toxicology (1 paper)
- Partner nations
- GermanySpainUnited States
In The Last Decade
M. Bartl
12 papers receiving 271 citations
Peers
Comparison fields: 5 of 65
- Numerical Analysis 15
- Molecular Biology 176
- Modeling and Simulation 11
- Control and Systems Engineering 54
- Genetics 46
Countries citing papers authored by M. Bartl
This map shows the geographic impact of M. Bartl'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 M. Bartl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Bartl more than expected).
Fields of papers citing papers by M. Bartl
This network shows the impact of papers produced by M. Bartl. 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 M. Bartl. The network helps show where M. Bartl may publish in the future.
Co-authors
The 19 scholars most cited alongside M. Bartl, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 90 | |
| 2 | 2010 | 46 | |
| 3 | 2010 | 37 | |
| 4 | 2007 | 23 | |
| 5 | 2013 | 22 | |
| 6 | 2015 | 17 | |
| 7 | 2015 | 12 | |
| 8 | 2017 | 11 | |
| 9 | 2017 | 11 | |
| 10 | 2015 | 4 | |
| 11 | Model-based optimization to explain liver zonation in nitrogen metabolism | 2010 | 3 |
| 12 | Optimal regulatory strategies for metabolic pathways in Escherichia coli depending on protein costs | 2015 | 2 |
| 13 | Just-in-time activation of a glycolysis inspired metabolic network - solution with a dynamic optimization approach | 2010 | 0 |
About M. Bartl
M. Bartl is a scholar working on Molecular Biology, Genetics, Control and Systems Engineering, Epidemiology and Surgery, having authored 13 papers that have together received 278 indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (8 papers), Gene Regulatory Network Analysis (4 papers), Bacterial Genetics and Biotechnology (3 papers), Protein Structure and Dynamics (3 papers), Advanced Control Systems Optimization (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Pancreatic function and diabetes (1 paper) and Hermeneutics and Narrative Identity (1 paper). The work is most often cited by research in Numerical Analysis (15 citations), Molecular Biology (176 citations), Modeling and Simulation (11 citations), Control and Systems Engineering (54 citations) and Genetics (46 citations). M. Bartl has collaborated with scholars based in Germany, Spain and United States. Frequent co-authors include Pu Li, Stefan Schuster, Christoph Kaleta, Reinhard Guthke, Frank Wessely, Lorenz T. Biegler, Jan Ewald, Thomas Dandekar, Eva Balsa‐Canto and Sebastian Henkel. Their work appears in journals such as Biosystems, PLoS Computational Biology, Nature Communications, BMC Bioinformatics and Archives of Toxicology.
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.