Grazia Fazio

57 papers and 742 indexed citations i.

About

Grazia Fazio is a scholar working on Molecular Biology, Hematology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Grazia Fazio has authored 57 papers receiving a total of 742 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 28 papers in Hematology and 25 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Grazia Fazio’s work include Acute Lymphoblastic Leukemia research (25 papers), Acute Myeloid Leukemia Research (16 papers) and Chronic Myeloid Leukemia Treatments (14 papers). Grazia Fazio is often cited by papers focused on Acute Lymphoblastic Leukemia research (25 papers), Acute Myeloid Leukemia Research (16 papers) and Chronic Myeloid Leukemia Treatments (14 papers). Grazia Fazio collaborates with scholars based in Italy, United States and Germany. Grazia Fazio's co-authors include Andrea Biondi, Giovanni Cazzaniga, Michela Bardini, Chiara Palmi, Ettore Biagi, Valentina Massa, Erica Dander, Angelo Selicorni, Giovanna D’Amico and Giuseppe Gaipa and has published in prestigious journals such as Nature Medicine, Blood and PLoS ONE.

In The Last Decade

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

Fields of papers citing papers by Grazia Fazio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Grazia Fazio

Since Specialization
Citations

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