Nadia Piva

14 papers and 387 indexed citations i.

About

Nadia Piva is a scholar working on Hematology, Oncology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Nadia Piva has authored 14 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Hematology, 5 papers in Oncology and 5 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Nadia Piva’s work include Acute Myeloid Leukemia Research (6 papers), Chronic Lymphocytic Leukemia Research (5 papers) and Acute Lymphoblastic Leukemia research (5 papers). Nadia Piva is often cited by papers focused on Acute Myeloid Leukemia Research (6 papers), Chronic Lymphocytic Leukemia Research (5 papers) and Acute Lymphoblastic Leukemia research (5 papers). Nadia Piva collaborates with scholars based in Italy, United States and Belgium. Nadia Piva's co-authors include Antonio Cuneo, Gian Matteo Rigolin, Renato Bigoni, Maria Grazia Roberti, Gianluigi Castoldi, Franca Fagioli, Antonella Bardi, Cristiano De Angeli, Laura del Senno and Sabrina Moretti and has published in prestigious journals such as Blood, Cancer and British Journal of Haematology.

In The Last Decade

Co-authorship network of co-authors of Nadia Piva i

Fields of papers citing papers by Nadia Piva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Nadia Piva

Since Specialization
Citations

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