Tina Toni

16 papers and 1.8k indexed citations i.

About

Tina Toni is a scholar working on Molecular Biology, Statistics and Probability and Genetics. According to data from OpenAlex, Tina Toni has authored 16 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 4 papers in Statistics and Probability and 4 papers in Genetics. Recurrent topics in Tina Toni’s work include Gene Regulatory Network Analysis (8 papers), Protein Structure and Dynamics (7 papers) and Markov Chains and Monte Carlo Methods (4 papers). Tina Toni is often cited by papers focused on Gene Regulatory Network Analysis (8 papers), Protein Structure and Dynamics (7 papers) and Markov Chains and Monte Carlo Methods (4 papers). Tina Toni collaborates with scholars based in United Kingdom, United States and Japan. Tina Toni's co-authors include Michael P. H. Stumpf, David Welch, Natalja Strelkowa, Andreas Ipsen, Paul Kirk, C. Barnes, Juliane Liepe, Goran Jovanović, Maxime Huvet and Martin Buck and has published in prestigious journals such as Nature Communications, Bioinformatics and Biophysical Journal.

In The Last Decade

Co-authorship network of co-authors of Tina Toni i

Fields of papers citing papers by Tina Toni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Tina Toni

Since Specialization
Citations

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).

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.

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