Stefan Hellander

518 citations
17 papers · 285 · h-index 10

Impact in

Papers in

    • Gene Regulatory Network Analysis 16
    • Genomics and Chromatin Dynamics 3
    • Diffusion and Search Dynamics 3
    • Bioinformatics and Genomic Networks 2
    • Single-cell and spatial transcriptomics 2
    • Protein Structure and Dynamics 2
    • Mathematical Biology Tumor Growth 7

Stefan Hellander

17 papers receiving 282 citations

Peers

Stefan Hellander
Comparison fields: 5 of 69
  • Modeling and Simulation 61
  • Biophysics 32
  • Molecular Biology 233
  • Statistical and Nonlinear Physics 26
  • Genetics 53
Replace Mark B. Flegg with:
Mark B. Flegg Australia
Sean T. Vittadello Australia
Jochen Kursawe United Kingdom
Dan T. Gillespie United States
Stephen Smith United Kingdom
Catherine J. Penington Australia
Satya N.V. Arjunan Japan
Tom Bland United Kingdom
Mohammad Soltani United States
Michael Klann Switzerland
Stefan Hellander relative to Mark B. Flegg Australia Mark B. Flegg's profile →
Citations per field
00.5×1.5×2.5×
Mark B. Flegg · 1×
Citations per year

Countries citing papers authored by Stefan Hellander

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 24 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.

Border = papers with Stefan Hellander Line = papers co-authored together Stefan Hellander links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 201246
2 201641
3 201230
4 201628
5 201528
6 201525
7 201117
8 201912
9 201611
10 201710
11 20218
12 20207
13 20177
14 20166
15 20134
16 20194
17 20121

About Stefan Hellander

Stefan Hellander is a scholar working on Molecular Biology, Modeling and Simulation, Genetics, Computational Theory and Mathematics and Management Science and Operations Research, having authored 17 papers that have together received 285 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), Genomics and Chromatin Dynamics (3 papers), Diffusion and Search Dynamics (3 papers), Bioinformatics and Genomic Networks (2 papers), Single-cell and spatial transcriptomics (2 papers) and Protein Structure and Dynamics (2 papers). The work is most often cited by research in Modeling and Simulation (61 citations), Biophysics (32 citations), Molecular Biology (233 citations), Statistical and Nonlinear Physics (26 citations) and Genetics (53 citations). Stefan Hellander has collaborated with scholars based in Sweden, United States and United Kingdom. Frequent co-authors include Linda Petzold, Andreas Hellander, Per Lötstedt, Brian Drawert, Mahdi Golkaram, Radek Erban, Mark B. Flegg, Kenneth S. Kosik, Jiwon Jang and Bernie J. Daigle. Their work appears in journals such as The Journal of Chemical Physics, Journal of Computational Physics, PLoS Computational Biology, Bulletin of Mathematical Biology and Physical review. E.

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.

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