Graziella Mazza

34 papers and 808 indexed citations i.

About

Graziella Mazza is a scholar working on Physiology, Immunology and Hematology. According to data from OpenAlex, Graziella Mazza has authored 34 papers receiving a total of 808 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Physiology, 11 papers in Immunology and 9 papers in Hematology. Recurrent topics in Graziella Mazza’s work include Blood groups and transfusion (7 papers), Erythrocyte Function and Pathophysiology (7 papers) and T-cell and B-cell Immunology (6 papers). Graziella Mazza is often cited by papers focused on Blood groups and transfusion (7 papers), Erythrocyte Function and Pathophysiology (7 papers) and T-cell and B-cell Immunology (6 papers). Graziella Mazza collaborates with scholars based in United Kingdom, United States and Belgium. Graziella Mazza's co-authors include Michael Day, David C. Wraith, A Butterworth, W. P. H. Duffus, Alan H. Whiting, Heather B. Streeter, Bénédicte Manoury, Daniela Mazzeo, Colin Watts and Nick Viner and has published in prestigious journals such as Blood, Nature Immunology and The Journal of Immunology.

In The Last Decade

Co-authorship network of co-authors of Graziella Mazza i

Fields of papers citing papers by Graziella Mazza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Graziella Mazza

Since Specialization
Citations

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