Stefan Hellander
Impact in
- Modeling and Simulation top 5%
- Mathematical Biology Tumor Growth
- Biophysics top 10%
- Advanced Fluorescence Microscopy Techniques
Papers in
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- Mathematical Biology Tumor Growth 7
-
- Gene Regulatory Network Analysis 16
- Diffusion and Search Dynamics 3
- Genomics and Chromatin Dynamics 3
- Microbial Metabolic Engineering and Bioproduction 2
- Bioinformatics and Genomic Networks 2
- Co-authors
- Linda Ruth Petzold (9 shared papers)Andreas Hellander (7 shared papers)Per Lötstedt (5 shared papers)Brian Drawert (3 shared papers)Mahdi Golkaram (3 shared papers)Mark B. Flegg (1 shared paper)Radek Erban (1 shared paper)Jiwon Jang (2 shared papers)
- Journals
- The Journal of Chemical Physics (4 papers)Bulletin of Mathematical Biology (2 papers)PLoS Computational Biology (2 papers)Journal of Computational Physics (2 papers)PLoS Biology (1 paper)
- Partner nations
- SwedenUnited StatesUnited Kingdom
In The Last Decade
Stefan Hellander
21 papers receiving 341 citations
Peers
Comparison fields: 5 of 74
- Modeling and Simulation 67
- Biophysics 44
- Molecular Biology 273
- Genetics 60
- Statistical and Nonlinear Physics 28
Countries citing papers authored by Stefan Hellander
This map shows the geographic impact of Stefan Hellander'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 Stefan Hellander with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Hellander more than expected).
Fields of papers citing papers by Stefan Hellander
This network shows the impact of papers produced by Stefan Hellander. 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 Stefan Hellander. The network helps show where Stefan Hellander may publish in the future.
Co-authors
The 25 scholars most cited alongside Stefan Hellander, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 49 | |
| 2 | 2016 | 48 | |
| 3 | 2012 | 35 | |
| 4 | 2015 | 31 | |
| 5 | 2016 | 31 | |
| 6 | 2015 | 29 | |
| 7 | Quantitative Biology: Theory, Computational Methods, and Models | 2018 | 18 |
| 8 | 2011 | 17 | |
| 9 | 2019 | 15 | |
| 10 | 2016 | 12 | |
| 11 | 2017 | 10 | |
| 12 | 2020 | 9 | |
| 13 | 2021 | 8 | |
| 14 | 2017 | 8 | |
| 15 | 2016 | 7 | |
| 16 | 2019 | 6 | |
| 17 | 2013 | 5 | |
| 18 | 2025 | 2 | |
| 19 | 2020 | 2 | |
| 20 | 2012 | 1 |
About Stefan Hellander
Stefan Hellander is a scholar working on Modeling and Simulation, Molecular Biology, Genetics, Anesthesiology and Pain Medicine and Biophysics, having authored 21 papers that have together received 344 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (16 papers), Mathematical Biology Tumor Growth (7 papers), Evolution and Genetic Dynamics (4 papers), Diffusion and Search Dynamics (3 papers), Genomics and Chromatin Dynamics (3 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Bacterial Genetics and Biotechnology (2 papers) and Bioinformatics and Genomic Networks (2 papers). The work is most often cited by research in Modeling and Simulation (67 citations), Biophysics (44 citations), Molecular Biology (273 citations), Genetics (60 citations) and Statistical and Nonlinear Physics (28 citations). Stefan Hellander has collaborated with scholars based in Sweden, United States and United Kingdom. Frequent co-authors include Linda Ruth Petzold, Andreas Hellander, Per Lötstedt, Brian Drawert, Mahdi Golkaram, Mark B. Flegg, Radek Erban, Jiwon Jang, Debjani Banerjee and Kenneth S. Kosik. Their work appears in journals such as The Journal of Chemical Physics, Bulletin of Mathematical Biology, PLoS Computational Biology, Journal of Computational Physics and PLoS 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.