Jan Hasenauer
Impact in
- Modeling and Simulation top 1%
- Mathematical Biology Tumor Growth
- Biophysics top 2%
- Cell Image Analysis Techniques
Papers in
-
- Gene Regulatory Network Analysis 63
- Microbial Metabolic Engineering and Bioproduction 19
- Bioinformatics and Genomic Networks 12
- Single-cell and spatial transcriptomics 9
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- Mathematical Biology Tumor Growth 10
- Co-authors
- Fabian J. Theis (31 shared papers)Fabian Fröhlich (17 shared papers)Frank Allgöwer (23 shared papers)Julio R. Banga (5 shared papers)Daniel Weindl (14 shared papers)Carolin Loos (8 shared papers)Steffen Waldherr (12 shared papers)Alejandro F. Villaverde (4 shared papers)
- Journals
- Bioinformatics (24 papers)PLoS Computational Biology (6 papers)PLoS ONE (4 papers)Investigative Ophthalmology & Visual Science (4 papers)Journal of Mathematical Biology (4 papers)
- Partner nations
- GermanyUnited StatesAustria
In The Last Decade
Jan Hasenauer
137 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 163
- Modeling and Simulation 218
- Biophysics 175
- Molecular Biology 1.7k
- Statistics, Probability and Uncertainty 115
- Statistics and Probability 101
Countries citing papers authored by Jan Hasenauer
This map shows the geographic impact of Jan Hasenauer'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 Jan Hasenauer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Hasenauer more than expected).
Fields of papers citing papers by Jan Hasenauer
This network shows the impact of papers produced by Jan Hasenauer. 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 Jan Hasenauer. The network helps show where Jan Hasenauer may publish in the future.
Co-authors
The 25 scholars most cited alongside Jan Hasenauer, 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 147 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 156 | |
| 2 | 2018 | 95 | |
| 3 | 2015 | 94 | |
| 4 | 2017 | 94 | |
| 5 | 2017 | 90 | |
| 6 | 2018 | 89 | |
| 7 | 2013 | 83 | |
| 8 | 2019 | 81 | |
| 9 | 2021 | 72 | |
| 10 | 2011 | 71 | |
| 11 | 2017 | 63 | |
| 12 | 2018 | 57 | |
| 13 | 2013 | 55 | |
| 14 | 2019 | 54 | |
| 15 | 2020 | 52 | |
| 16 | 2016 | 50 | |
| 17 | 2013 | 47 | |
| 18 | 2021 | 45 | |
| 19 | 2014 | 43 | |
| 20 | 2018 | 39 |
About Jan Hasenauer
Jan Hasenauer is a scholar working on Molecular Biology, Modeling and Simulation, Artificial Intelligence, Statistics and Probability and Statistical and Nonlinear Physics, having authored 147 papers that have together received 2.8k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (63 papers), Microbial Metabolic Engineering and Bioproduction (19 papers), Bioinformatics and Genomic Networks (12 papers), Mathematical Biology Tumor Growth (10 papers), Single-cell and spatial transcriptomics (9 papers), Cell Image Analysis Techniques (8 papers), Model Reduction and Neural Networks (8 papers) and Markov Chains and Monte Carlo Methods (7 papers). The work is most often cited by research in Modeling and Simulation (218 citations), Biophysics (175 citations), Molecular Biology (1.7k citations), Statistics, Probability and Uncertainty (115 citations) and Statistics and Probability (101 citations). Jan Hasenauer has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Fabian J. Theis, Fabian Fröhlich, Frank Allgöwer, Julio R. Banga, Daniel Weindl, Carolin Loos, Steffen Waldherr, Alejandro F. Villaverde, Yannik Schälte and Nicole Radde. Their work appears in journals such as Bioinformatics, PLoS Computational Biology, PLoS ONE, Investigative Ophthalmology & Visual Science and Journal of Mathematical 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.