Rubben Torella

30 papers and 971 indexed citations i.

About

Rubben Torella is a scholar working on Molecular Biology, Computational Theory and Mathematics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Rubben Torella has authored 30 papers receiving a total of 971 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 9 papers in Computational Theory and Mathematics and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Rubben Torella’s work include Computational Drug Discovery Methods (9 papers), Receptor Mechanisms and Signaling (5 papers) and Protein Structure and Dynamics (4 papers). Rubben Torella is often cited by papers focused on Computational Drug Discovery Methods (9 papers), Receptor Mechanisms and Signaling (5 papers) and Protein Structure and Dynamics (4 papers). Rubben Torella collaborates with scholars based in United Kingdom, United States and Italy. Rubben Torella's co-authors include Robert C. Glen, Janet J. Maguire, Anthony P. Davenport, Peiran Yang, T. Adrian Carpenter, Giorgio Colombo, Luca Pellegrini, Guido Buonincontri, Stephen J. Sawiak and Mark Southwood and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Circulation.

In The Last Decade

Co-authorship network of co-authors of Rubben Torella i

Fields of papers citing papers by Rubben Torella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rubben Torella. 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 Rubben Torella. The network helps show where Rubben Torella may publish in the future.

Countries citing papers authored by Rubben Torella

Since Specialization
Citations

This map shows the geographic impact of Rubben Torella'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 Rubben Torella with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rubben Torella 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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