Diana Gesto

9 papers and 577 indexed citations i.

About

Diana Gesto is a scholar working on Molecular Biology, Surgery and Computational Theory and Mathematics. According to data from OpenAlex, Diana Gesto has authored 9 papers receiving a total of 577 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Surgery and 3 papers in Computational Theory and Mathematics. Recurrent topics in Diana Gesto’s work include Biosynthesis and Engineering of Terpenoids (3 papers), Computational Drug Discovery Methods (3 papers) and Lipoproteins and Cardiovascular Health (2 papers). Diana Gesto is often cited by papers focused on Biosynthesis and Engineering of Terpenoids (3 papers), Computational Drug Discovery Methods (3 papers) and Lipoproteins and Cardiovascular Health (2 papers). Diana Gesto collaborates with scholars based in Portugal and France. Diana Gesto's co-authors include Nuno M. F. S. A. Cerqueira, Pedro Alexandrino Fernandes, Maria J. Ramos, Eduardo F. Oliveira, Diogo Santos‐Martins, Cátia Moreira, Sérgio F. Sousa, Natércia F. Brás, Inês A. C. Pereira and Cristiano Mota and has published in prestigious journals such as Journal of the American Chemical Society, Biochemistry and ACS Catalysis.

In The Last Decade

Co-authorship network of co-authors of Diana Gesto i

Fields of papers citing papers by Diana Gesto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Diana Gesto

Since Specialization
Citations

This map shows the geographic impact of Diana Gesto'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 Diana Gesto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diana Gesto 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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2025