Aaron Sim
Impact in
- Applied Mathematics top 5%
- Mathematical Analysis and Transform Methods
- Modeling and Simulation top 10%
- Fractional Differential Equations Solutions
Papers in
-
- T-cell and Retrovirus Studies 2
- T-cell and B-cell Immunology 2
-
- Gene Regulatory Network Analysis 2
- Biomedical Text Mining and Ontologies 2
- Diffusion and Search Dynamics 2
- CRISPR and Genetic Engineering 1
- Co-authors
- Michael P. H. Stumpf (7 shared papers)Juliane Liepe (6 shared papers)Helen Weavers (2 shared papers)Paul B. Martin (2 shared papers)Will Wood (1 shared paper)John Simon Kroll (2 shared papers)Daniel Joseph Laydon (2 shared papers)Anat Melamed (2 shared papers)
- Journals
- Progress in medicinal chemistry (1 paper)Physical Biology (1 paper)Retrovirology (1 paper)Seminars in Cell and Developmental Biology (1 paper)Stem Cells (1 paper)
- Partner nations
- United KingdomBelgiumUnited States
In The Last Decade
Aaron Sim
15 papers receiving 507 citations
Peers
Comparison fields: 5 of 113
- Applied Mathematics 68
- Modeling and Simulation 28
- Mathematical Physics 49
- Immunology 96
- 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 | 250 | |
| 2 | 2014 | 69 | |
| 3 | 2018 | 50 | |
| 4 | 2016 | 49 | |
| 5 | 2014 | 33 | |
| 6 | 2015 | 21 | |
| 7 | 2015 | 20 | |
| 8 | 2017 | 15 | |
| 9 | 2017 | 15 | |
| 10 | 2013 | 8 | |
| 11 | 2016 | 7 | |
| 12 | 2014 | 4 | |
| 13 | 2015 | 3 | |
| 14 | 2023 | 1 | |
| 15 | 2022 | 1 |
About Aaron Sim
Aaron Sim is a scholar working on Immunology, Molecular Biology, Agronomy and Crop Science, Ecology, Evolution, Behavior and Systematics and Biophysics, having authored 15 papers that have together received 546 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (2 papers), Biomedical Text Mining and Ontologies (2 papers), Animal Disease Management and Epidemiology (2 papers), Diffusion and Search Dynamics (2 papers), T-cell and Retrovirus Studies (2 papers), Vector-Borne Animal Diseases (2 papers), T-cell and B-cell Immunology (2 papers) and CRISPR and Genetic Engineering (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 (96 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 B. Martin, Will Wood, John Simon Kroll, Daniel Joseph Laydon, Anat Melamed, Nicolas Albert Gillet and David Anthony Price. Their work appears in journals such as Progress in medicinal chemistry, Physical Biology, Retrovirology, Seminars in Cell and Developmental Biology and Stem Cells.
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.