Tina Toni
- Molecular Biology top 10%
- Statistics and Probability top 1%
- Artificial Intelligence top 5%
- Genetics top 10%
- Modeling and Simulation top 2%
- Co-authors
- Michael P. H. StumpfDavid WelchAndreas IpsenNatalja StrelkowaPaul KirkC. BarnesJuliane LiepeMartin Buck
- Topics
- Protein Structure and Dynamics (7 papers)Gene Regulatory Network Analysis (7 papers)Markov Chains and Monte Carlo Methods (4 papers)
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
Tina Toni
15 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Molecular Biology 757
- Statistics and Probability 370
- Artificial Intelligence 360
- Genetics 319
- Modeling and Simulation 162
Countries citing papers authored by Tina Toni
This map shows the geographic impact of Tina Toni'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 Tina Toni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tina Toni more than expected).
Fields of papers citing papers by Tina Toni
This network shows the impact of papers produced by Tina Toni. 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 Tina Toni. The network helps show where Tina Toni may publish in the future.
Co-authorship network of co-authors of Tina Toni
This figure shows the co-authorship network connecting the top 25 collaborators of Tina Toni. A scholar is included among the top collaborators of Tina Toni based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tina Toni. Tina Toni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 41 | |
| 2 | 149 | |
| 3 | 19 | |
| 4 | 14 | |
| 5 | 17 | |
| 6 | 40 | |
| 7 | 46 | |
| 8 | 175 | |
| 9 | 15 | |
| 10 | 103 | |
| 11 | 34 | |
| 12 | 8 | |
| 13 | 166 | |
| 14 | 19 | |
| 15 | Approximate Bayesian computation scheme for parameter inference and model selection in dynamical systemsbreakdown → | 900 |
About Tina Toni
Tina Toni is a scholar working on Statistics and Probability, Molecular Biology and Statistical and Nonlinear Physics, having authored 15 papers that have together received 1.7k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (7 papers), Gene Regulatory Network Analysis (7 papers) and Markov Chains and Monte Carlo Methods (4 papers). The work is most often cited by research in Statistics and Probability (370 citations), Modeling and Simulation (162 citations) and Statistics, Probability and Uncertainty (115 citations). Tina Toni has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Michael P. H. Stumpf, David Welch, Andreas Ipsen, Natalja Strelkowa, Paul Kirk, C. Barnes, Juliane Liepe, Martin Buck, Maxime Huvet and Goran Jovanović. Their work appears in journals such as Nature Communications, Bioinformatics and Nature Protocols.
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.