Aaron Sim
Impact in
- Applied Mathematics top 10%
- Mathematical Analysis and Transform Methods
- Mathematical Physics top 10%
Papers in
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- Diffusion and Search Dynamics 2
- Biomedical Text Mining and Ontologies 2
- Gene Regulatory Network Analysis 2
-
- T-cell and B-cell Immunology 2
- T-cell and Retrovirus Studies 2
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 1
- 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)Charles R. M. Bangham (2 shared papers)David A. Price (2 shared papers)
- Journals
- Stem Cells (1 paper)Current Biology (1 paper)Seminars in Cell and Developmental Biology (1 paper)Retrovirology (1 paper)Cell Systems (1 paper)
- Partner nations
- United KingdomUnited StatesBelgium
In The Last Decade
Aaron Sim
13 papers receiving 460 citations
Peers
Comparison fields: 5 of 110
- Applied Mathematics 61
- Mathematical Physics 46
- Modeling and Simulation 23
- Immunology 95
- Biophysics 19
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 | 222 | |
| 2 | 2014 | 64 | |
| 3 | 2016 | 46 | |
| 4 | 2018 | 39 | |
| 5 | 2014 | 34 | |
| 6 | 2015 | 21 | |
| 7 | 2015 | 18 | |
| 8 | 2017 | 14 | |
| 9 | 2017 | 13 | |
| 10 | 2016 | 8 | |
| 11 | 2013 | 7 | |
| 12 | 2014 | 4 | |
| 13 | 2015 | 3 | |
| 14 | 2023 | 1 | |
| 15 | 2022 | 0 |
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 494 indexed citations. Recurring topics across this work include Diffusion and Search Dynamics (2 papers), T-cell and B-cell Immunology (2 papers), Vector-Borne Animal Diseases (2 papers), Animal Disease Management and Epidemiology (2 papers), T-cell and Retrovirus Studies (2 papers), Biomedical Text Mining and Ontologies (2 papers), Gene Regulatory Network Analysis (2 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper). The work is most often cited by research in Applied Mathematics (61 citations), Mathematical Physics (46 citations), Modeling and Simulation (23 citations), Immunology (95 citations) and Biophysics (19 citations). Aaron Sim has collaborated with scholars based in United Kingdom, United States and Belgium. Frequent co-authors include Michael P. H. Stumpf, Juliane Liepe, Helen Weavers, Paul Martin, Will Wood, Sarah Filippi, Charles R. M. Bangham, David A. Price, Becca Asquith and Kathleen Sim. Their work appears in journals such as Stem Cells, Current Biology, Seminars in Cell and Developmental Biology, Retrovirology and Cell Systems.
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.