Patricia Suriana

6 papers and 54 indexed citations i.

About

Patricia Suriana is a scholar working on Materials Chemistry, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Patricia Suriana has authored 6 papers receiving a total of 54 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Materials Chemistry, 3 papers in Molecular Biology and 3 papers in Computational Theory and Mathematics. Recurrent topics in Patricia Suriana’s work include Machine Learning in Materials Science (4 papers), Computational Drug Discovery Methods (3 papers) and Protein Structure and Dynamics (3 papers). Patricia Suriana is often cited by papers focused on Machine Learning in Materials Science (4 papers), Computational Drug Discovery Methods (3 papers) and Protein Structure and Dynamics (3 papers). Patricia Suriana collaborates with scholars based in United States and Italy. Patricia Suriana's co-authors include Ron O. Dror, Saman Amarasinghe, Emanuele Del Sozzo, Yunming Zhang, Shoaib Kamil, Raphael J.L. Townshend, Jessica M. Ray, Riyadh Baghdadi, Rishi Bedi and Joseph M. Paggi and has published in prestigious journals such as Proteins Structure Function and Bioinformatics, ACS Central Science and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Patricia Suriana i

Fields of papers citing papers by Patricia Suriana

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Patricia Suriana

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025