Markus Basan
Impact in
- Cell Biology top 1%
- Cellular Mechanics and Interactions
- Modeling and Simulation top 1%
- Mathematical Biology Tumor Growth
Papers in
- Cell Biology 10
- Cellular Mechanics and Interactions 9
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- Mathematical Biology Tumor Growth 5
- Co-authors
- Jean‐François Joanny (6 shared papers)Jacques Prost (5 shared papers)Terence Hwa B (4 shared papers)Jens Elgeti (5 shared papers)Sheng Tony Hui (3 shared papers)James R. Williamson (2 shared papers)Hiroyuki Okano (2 shared papers)Zhongge Zhang (1 shared paper)
- Journals
- Molecular Systems Biology (6 papers)Proceedings of the National Academy of Sciences (4 papers)Nature Communications (2 papers)Physical Review Letters (2 papers)Nature (2 papers)
- Partner nations
- United StatesFranceGermany
In The Last Decade
Markus Basan
29 papers receiving 2.7k citations
Markus Basan's Hit Papers
Peers
Comparison fields: 5 of 111
- Cell Biology 761
- Modeling and Simulation 274
- Genetics 529
- Molecular Biology 1k
- Condensed Matter Physics 160
Countries citing papers authored by Markus Basan
This map shows the geographic impact of Markus Basan'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 Markus Basan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Basan more than expected).
Fields of papers citing papers by Markus Basan
This network shows the impact of papers produced by Markus Basan. 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 Markus Basan. The network helps show where Markus Basan may publish in the future.
Co-authors
The 25 scholars most cited alongside Markus Basan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Overflow metabolism in Escherichia coli results from efficient proteome allocation Hit paper breakdown → | 2015 | 556 |
| 2 | 2010 | 388 | |
| 3 | 2015 | 264 | |
| 4 | 2013 | 189 | |
| 5 | 2011 | 180 | |
| 6 | 2020 | 170 | |
| 7 | 2009 | 154 | |
| 8 | 2015 | 140 | |
| 9 | 2007 | 95 | |
| 10 | 2011 | 94 | |
| 11 | 2022 | 87 | |
| 12 | 2018 | 56 | |
| 13 | 2022 | 53 | |
| 14 | 2011 | 50 | |
| 15 | 2022 | 34 | |
| 16 | 2017 | 33 | |
| 17 | 2014 | 26 | |
| 18 | 2013 | 17 | |
| 19 | 2022 | 17 | |
| 20 | 2023 | 16 |
About Markus Basan
Markus Basan is a scholar working on Cell Biology, Modeling and Simulation, Genetics, Molecular Biology and Cellular and Molecular Neuroscience, having authored 29 papers that have together received 2.7k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (9 papers), Bacterial Genetics and Biotechnology (9 papers), Microbial Metabolic Engineering and Bioproduction (7 papers), Mathematical Biology Tumor Growth (5 papers), Evolution and Genetic Dynamics (2 papers), Neuroscience and Neural Engineering (2 papers), Microfluidic and Bio-sensing Technologies (2 papers) and Phase Equilibria and Thermodynamics (1 paper). The work is most often cited by research in Cell Biology (761 citations), Modeling and Simulation (274 citations), Genetics (529 citations), Molecular Biology (1k citations) and Condensed Matter Physics (160 citations). Markus Basan has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Jean‐François Joanny, Jacques Prost, Terence Hwa B, Jens Elgeti, Sheng Tony Hui, James R. Williamson, Hiroyuki Okano, Zhongge Zhang, Thomas Risler and Frank Jülicher. Their work appears in journals such as Molecular Systems Biology, Proceedings of the National Academy of Sciences, Nature Communications, Physical Review Letters and Nature.
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.