Simon Tavaré
- Aging top 0.2%
- Genetics top 0.05%
- Evolution and Genetic Dynamics 25
- Cancer Research top 0.2%
- Cancer Genomics and Diagnostics 30
- Molecular Biology top 0.2%
- Gene expression and cancer classification 30
- Genomics and Chromatin Dynamics 20
- Epigenetics and DNA Methylation 20
- Genomics and Phylogenetic Studies 15
- Statistics and Probability top 0.2%
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- Stochastic processes and statistical mechanics 34
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- Bayesian Methods and Mixture Models 30
- Co-authors
- Robert GriffithsPeter DonnellyMark DunningPaul MarjoramDarryl ShibataRichard ArratiaInmaculada SpiteriNatalie Thorne
- Cited by
- AgingGeneticsCancer Research
- Journals
- Advances in Applied Probability (12 papers)Proceedings of the National Academy of Sciences (11 papers)Theoretical Population Biology (9 papers)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Simon Tavaré
218 papers receiving 20.7k citations
Hit Papers
Peers
Comparison fields: 5 of 211
- Aging 643
- Genetics 6.7k
- Cancer Research 3.6k
- Molecular Biology 10.7k
- Statistics and Probability 1.1k
Countries citing papers authored by Simon Tavaré
This map shows the geographic impact of Simon Tavaré'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 Simon Tavaré with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Tavaré more than expected).
Fields of papers citing papers by Simon Tavaré
This network shows the impact of papers produced by Simon Tavaré. 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 Simon Tavaré. The network helps show where Simon Tavaré may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Simon Tavaré, 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 | 2025 | 1 | |
| 2 | 2023 | 3 | |
| 3 | 2023 | 32 | |
| 4 | 2020 | 7 | |
| 5 | 2018 | 18 | |
| 6 | 2014 | 43 | |
| 7 | Intratumor heterogeneity in human glioblastoma reflects cancer evolutionary dynamicsbreakdown → | 2013 | 1231 |
| 8 | 2013 | 295 | |
| 9 | 2012 | 50 | |
| 10 | Spatial Coupling of mTOR and Autophagy Augments Secretory Phenotypesbreakdown → | 2011 | 459 |
| 11 | Autophagy mediates the mitotic senescence transitionbreakdown → | 2009 | 836 |
| 12 | 2008 | 224 | |
| 13 | 2008 | 54 | |
| 14 | 2008 | 140 | |
| 15 | 2008 | 13 | |
| 16 | 2008 | 89 | |
| 17 | 2007 | 111 | |
| 18 | 2007 | 44 | |
| 19 | 2005 | 45 | |
| 20 | 1982 | 11 |
About Simon Tavaré
Simon Tavaré is a scholar working on Aging, Mathematical Physics, Genetics, Discrete Mathematics and Combinatorics and Cancer Research, having authored 220 papers that have together received 21.3k indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (34 papers), Cancer Genomics and Diagnostics (30 papers), Bayesian Methods and Mixture Models (30 papers), Gene expression and cancer classification (30 papers), Evolution and Genetic Dynamics (25 papers), Genomics and Chromatin Dynamics (20 papers), Epigenetics and DNA Methylation (20 papers) and Genomics and Phylogenetic Studies (15 papers). The work is most often cited by research in Aging (643 citations), Genetics (6.7k citations), Cancer Research (3.6k citations), Molecular Biology (10.7k citations) and Statistics and Probability (1.1k citations). Simon Tavaré has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Robert Griffiths, Peter Donnelly, Mark Dunning, Paul Marjoram, Darryl Shibata, Richard Arratia, Inmaculada Spiteri, Natalie Thorne, John C. Marioni and Magnus Nordborg. Their work appears in journals such as Advances in Applied Probability, Proceedings of the National Academy of Sciences, Theoretical Population Biology, Bioinformatics and Journal of Applied Probability.
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.