Fabio Urbina

34 papers and 553 indexed citations i.

About

Fabio Urbina is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Fabio Urbina has authored 34 papers receiving a total of 553 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 17 papers in Computational Theory and Mathematics and 8 papers in Materials Chemistry. Recurrent topics in Fabio Urbina’s work include Computational Drug Discovery Methods (17 papers), Machine Learning in Materials Science (8 papers) and Cholinesterase and Neurodegenerative Diseases (4 papers). Fabio Urbina is often cited by papers focused on Computational Drug Discovery Methods (17 papers), Machine Learning in Materials Science (8 papers) and Cholinesterase and Neurodegenerative Diseases (4 papers). Fabio Urbina collaborates with scholars based in United States, Switzerland and United Kingdom. Fabio Urbina's co-authors include Sean Ekins, Stephanie L. Gupton, Filippa Lentzos, Cédric Invernizzi, Thomas R. Lane, Ana C. Puhl, Shalini Menon, Shawn M. Gomez, Kimberley M. Zorn and Nicholas P. Boyer and has published in prestigious journals such as The Journal of Cell Biology, Environmental Science & Technology and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Fabio Urbina i

Fields of papers citing papers by Fabio Urbina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fabio Urbina

Since Specialization
Citations

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