Markus Kollmann
- Condensed Matter Physics top 5%
- Endocrine and Autonomic Systems top 10%
- Biophysics top 5%
- Cell Image Analysis Techniques 5
- Modeling and Simulation top 5%
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- Gene Regulatory Network Analysis 13
- Bioinformatics and Genomic Networks 6
- Microbial Metabolic Engineering and Bioproduction 3
- RNA and protein synthesis mechanisms 3
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- Material Dynamics and Properties 7
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- Electrostatics and Colloid Interactions 6
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- Spectroscopy and Quantum Chemical Studies 3
- Co-authors
- Victor SourjikClemens BechingerJens TimmerKilian BartholoméGerhard NägeleIlka M. AxmannJulia RausenbergerNikita Vladimirov
- Partner nations
- GermanyUnited StatesAustria
In The Last Decade
Markus Kollmann
30 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 123
- Condensed Matter Physics 198
- Statistical and Nonlinear Physics 156
- Endocrine and Autonomic Systems 74
- Biophysics 58
- Modeling and Simulation 45
Countries citing papers authored by Markus Kollmann
This map shows the geographic impact of Markus Kollmann'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 Kollmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Kollmann more than expected).
Fields of papers citing papers by Markus Kollmann
This network shows the impact of papers produced by Markus Kollmann. 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 Kollmann. The network helps show where Markus Kollmann may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Markus Kollmann, 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 | 2025 | 0 | |
| 2 | 2022 | 0 | |
| 3 | 2020 | 12 | |
| 4 | 2020 | 4 | |
| 5 | 2019 | 8 | |
| 6 | 2015 | 4 | |
| 7 | 2015 | 6 | |
| 8 | 2014 | 7 | |
| 9 | 2012 | 16 | |
| 10 | 2011 | 34 | |
| 11 | 2010 | 50 | |
| 12 | 2009 | 53 | |
| 13 | 2009 | 15 | |
| 14 | 2007 | 15 | |
| 15 | 2007 | 25 | |
| 16 | 2005 | 60 | |
| 17 | 2004 | 204 | |
| 18 | 2003 | 150 | |
| 19 | 2001 | 2 | |
| 20 | 2000 | 11 |
About Markus Kollmann
Markus Kollmann is a scholar working on Biophysics, Physical and Theoretical Chemistry, Numerical Analysis, Computer Graphics and Computer-Aided Design and Molecular Biology, having authored 32 papers that have together received 1.3k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (13 papers), Material Dynamics and Properties (7 papers), Bioinformatics and Genomic Networks (6 papers), Electrostatics and Colloid Interactions (6 papers), Cell Image Analysis Techniques (5 papers), Spectroscopy and Quantum Chemical Studies (3 papers), Microbial Metabolic Engineering and Bioproduction (3 papers) and RNA and protein synthesis mechanisms (3 papers). The work is most often cited by research in Condensed Matter Physics (198 citations), Statistical and Nonlinear Physics (156 citations), Endocrine and Autonomic Systems (74 citations), Biophysics (58 citations) and Modeling and Simulation (45 citations). Markus Kollmann has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Victor Sourjik, Clemens Bechinger, Jens Timmer, Kilian Bartholomé, Gerhard Nägele, Ilka M. Axmann, Julia Rausenberger, Nikita Vladimirov, Hanspeter Herzel and Ulf Dühring. Their work appears in journals such as PLoS ONE, Scientific Reports, The Journal of Chemical Physics, Physical Review Letters and Molecular Systems Biology.
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.