Tina Toni

About

Tina Toni is a scholar working on Molecular Biology, Genetics and Statistics and Probability. According to data from OpenAlex, Tina Toni has authored 16 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 4 papers in Genetics and 4 papers in Statistics and Probability. 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, Paul Kirk, Maxime Huvet, C. Barnes and Goran Jovanović and has published in prestigious journals such as Nature Communications, Bioinformatics and Nature Protocols.

In The Last Decade

Fields of papers citing papers by Tina Toni

Since Specialization

EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by Tina Toni. Nodes represent fields, and links connect fields that are likely to share authors. 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).

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