Grazia Pula

13 papers and 416 indexed citations i.

About

Grazia Pula is a scholar working on Molecular Biology, Computational Theory and Mathematics and Oncology. According to data from OpenAlex, Grazia Pula has authored 13 papers receiving a total of 416 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 4 papers in Computational Theory and Mathematics and 2 papers in Oncology. Recurrent topics in Grazia Pula’s work include S100 Proteins and Annexins (10 papers), Computational Drug Discovery Methods (4 papers) and Protease and Inhibitor Mechanisms (2 papers). Grazia Pula is often cited by papers focused on S100 Proteins and Annexins (10 papers), Computational Drug Discovery Methods (4 papers) and Protease and Inhibitor Mechanisms (2 papers). Grazia Pula collaborates with scholars based in Italy and United States. Grazia Pula's co-authors include Rosario Donato, Roberta Bianchi, Ileana Giambanco, Cecilia Adami, P. Ceccarelli, Maria Grazia Rambotti, Nelson D. Horseman, Begoña Campos, Marcia A. Kaetzel and John Dedman and has published in prestigious journals such as FEBS Letters, Journal of Cellular Physiology and Journal of Histochemistry & Cytochemistry.

In The Last Decade

Co-authorship network of co-authors of Grazia Pula i

Fields of papers citing papers by Grazia Pula

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Grazia Pula

Since Specialization
Citations

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