Aaron Sim
Impact in
- Applied Mathematics top 5%
- Mathematical Analysis and Transform Methods
- Modeling and Simulation top 10%
- Fractional Differential Equations Solutions
Papers in
-
- Diffusion and Search Dynamics 2
- Biomedical Text Mining and Ontologies 2
- Gene Regulatory Network Analysis 2
- Gene expression and cancer classification 1
-
- T-cell and B-cell Immunology 2
- T-cell and Retrovirus Studies 2
- Co-authors
- Michael P. H. Stumpf (7 shared papers)Juliane Liepe (6 shared papers)Helen Weavers (2 shared papers)Paul Martin (2 shared papers)Will Wood (1 shared paper)Sarah Filippi (2 shared papers)Daniel J. Laydon (2 shared papers)David A. Price (2 shared papers)
- Journals
- PLoS Computational Biology (1 paper)Progress in medicinal chemistry (1 paper)Biophysical Journal (1 paper)Statistical Applications in Genetics and Molecular Biology (1 paper)Retrovirology (1 paper)
- Partner nations
- United KingdomBelgiumUnited States
In The Last Decade
Aaron Sim
14 papers receiving 500 citations
Peers
Comparison fields: 5 of 112
- Applied Mathematics 68
- Modeling and Simulation 28
- Mathematical Physics 49
- Immunology 94
- Biophysics 21
Countries citing papers authored by Aaron Sim
This map shows the geographic impact of Aaron Sim'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 Aaron Sim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aaron Sim more than expected).
Fields of papers citing papers by Aaron Sim
This network shows the impact of papers produced by Aaron Sim. 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 Aaron Sim. The network helps show where Aaron Sim may publish in the future.
Co-authors
The 25 scholars most cited alongside Aaron Sim, 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 | 1966 | 251 | |
| 2 | 2014 | 67 | |
| 3 | 2018 | 49 | |
| 4 | 2016 | 47 | |
| 5 | 2014 | 33 | |
| 6 | 2015 | 21 | |
| 7 | 2015 | 19 | |
| 8 | 2017 | 14 | |
| 9 | 2017 | 14 | |
| 10 | 2016 | 8 | |
| 11 | 2013 | 8 | |
| 12 | 2014 | 4 | |
| 13 | 2015 | 3 | |
| 14 | 2023 | 1 | |
| 15 | 2022 | 1 |
About Aaron Sim
Aaron Sim is a scholar working on Molecular Biology, Immunology, Ecology, Evolution, Behavior and Systematics, Atomic and Molecular Physics, and Optics and Agronomy and Crop Science, having authored 15 papers that have together received 540 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (2 papers), Vector-Borne Animal Diseases (2 papers), T-cell and Retrovirus Studies (2 papers), Animal Disease Management and Epidemiology (2 papers), Diffusion and Search Dynamics (2 papers), Biomedical Text Mining and Ontologies (2 papers), Gene Regulatory Network Analysis (2 papers) and Gene expression and cancer classification (1 paper). The work is most often cited by research in Applied Mathematics (68 citations), Modeling and Simulation (28 citations), Mathematical Physics (49 citations), Immunology (94 citations) and Biophysics (21 citations). Aaron Sim has collaborated with scholars based in United Kingdom, Belgium and United States. Frequent co-authors include Michael P. H. Stumpf, Juliane Liepe, Helen Weavers, Paul Martin, Will Wood, Sarah Filippi, Daniel J. Laydon, David A. Price, Nicolas Gillet and J. Simon Kroll. Their work appears in journals such as PLoS Computational Biology, Progress in medicinal chemistry, Biophysical Journal, Statistical Applications in Genetics and Molecular Biology and Retrovirology.
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.