Wolfram Möbius
Impact in
-
- Evolution and Genetic Dynamics
- Bacterial Genetics and Biotechnology
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- Genomics and Chromatin Dynamics
- Bacterial biofilms and quorum sensing
Papers in
- Genetics 7
- Evolution and Genetic Dynamics 5
- Bacterial Genetics and Biotechnology 2
-
- Stochastic processes and statistical mechanics 3
- Co-authors
- Ulrich Gerland (5 shared papers)William R. Harcombe (2 shared papers)Jeremy M. Chacón (1 shared paper)Oskar Hallatschek (2 shared papers)Matti Gralka (1 shared paper)Liedewij Laan (1 shared paper)David R. Nelson (3 shared papers)Bartłomiej Waclaw (1 shared paper)
- Journals
- PLoS Computational Biology (3 papers)Physical Review Letters (2 papers)Proceedings of the National Academy of Sciences (2 papers)mSystems (1 paper)Nano Letters (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Wolfram Möbius
18 papers receiving 412 citations
Peers
Comparison fields: 5 of 58
- Genetics 115
- Molecular Biology 205
- Geometry and Topology 23
- Mathematical Physics 25
- Modeling and Simulation 10
Countries citing papers authored by Wolfram Möbius
This map shows the geographic impact of Wolfram Möbius'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 Wolfram Möbius with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wolfram Möbius more than expected).
Fields of papers citing papers by Wolfram Möbius
This network shows the impact of papers produced by Wolfram Möbius. 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 Wolfram Möbius. The network helps show where Wolfram Möbius may publish in the future.
Co-authors
The 25 scholars most cited alongside Wolfram Möbius, 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 | 2016 | 84 | |
| 2 | 2018 | 57 | |
| 3 | 2010 | 56 | |
| 4 | 2013 | 35 | |
| 5 | 2006 | 32 | |
| 6 | 2008 | 30 | |
| 7 | 2015 | 27 | |
| 8 | 2015 | 26 | |
| 9 | 2017 | 20 | |
| 10 | 2009 | 15 | |
| 11 | 2018 | 11 | |
| 12 | 2021 | 6 | |
| 13 | 2024 | 6 | |
| 14 | 2021 | 5 | |
| 15 | 2017 | 3 | |
| 16 | 2024 | 2 | |
| 17 | 2007 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2023 | 0 |
About Wolfram Möbius
Wolfram Möbius is a scholar working on Genetics, Mathematical Physics, Molecular Biology, Public Health, Environmental and Occupational Health and Modeling and Simulation, having authored 19 papers that have together received 417 indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (5 papers), Stochastic processes and statistical mechanics (3 papers), Mathematical and Theoretical Epidemiology and Ecology Models (3 papers), Genomics and Chromatin Dynamics (3 papers), Bacterial biofilms and quorum sensing (2 papers), Bacterial Genetics and Biotechnology (2 papers), Advanced Thermodynamics and Statistical Mechanics (1 paper) and Geometric and Algebraic Topology (1 paper). The work is most often cited by research in Genetics (115 citations), Molecular Biology (205 citations), Geometry and Topology (23 citations), Mathematical Physics (25 citations) and Modeling and Simulation (10 citations). Wolfram Möbius has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Ulrich Gerland, William R. Harcombe, Jeremy M. Chacón, Oskar Hallatschek, Matti Gralka, Liedewij Laan, David R. Nelson, Bartłomiej Waclaw, Fred Farrell and Andrew W. Murray. Their work appears in journals such as PLoS Computational Biology, Physical Review Letters, Proceedings of the National Academy of Sciences, mSystems and Nano Letters.
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.