Fedora Grande

87 papers and 2.5k indexed citations i.

About

Fedora Grande is a scholar working on Organic Chemistry, Molecular Biology and Oncology. According to data from OpenAlex, Fedora Grande has authored 87 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Organic Chemistry, 34 papers in Molecular Biology and 13 papers in Oncology. Recurrent topics in Fedora Grande’s work include Synthesis and biological activity (12 papers), Computational Drug Discovery Methods (12 papers) and Synthesis and Biological Evaluation (11 papers). Fedora Grande is often cited by papers focused on Synthesis and biological activity (12 papers), Computational Drug Discovery Methods (12 papers) and Synthesis and Biological Evaluation (11 papers). Fedora Grande collaborates with scholars based in Italy, United States and Spain. Fedora Grande's co-authors include Antonio Garofalo, Nouri Neamati, Paola Tucci, Shili Xu, Maria Antonietta Occhiuzzi, Maria Stefania Sinicropi, Giuseppina Ioele, Carmela Saturnino, Anna Caruso and Domenico Iacopetta and has published in prestigious journals such as International Journal of Molecular Sciences, British Journal of Cancer and Tetrahedron.

In The Last Decade

Co-authorship network of co-authors of Fedora Grande i

Fields of papers citing papers by Fedora Grande

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fedora Grande

Since Specialization
Citations

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