E. De Biasi

7 papers and 117 indexed citations i.

About

E. De Biasi is a scholar working on Hematology, Genetics and Pathology and Forensic Medicine. According to data from OpenAlex, E. De Biasi has authored 7 papers receiving a total of 117 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Hematology, 2 papers in Genetics and 2 papers in Pathology and Forensic Medicine. Recurrent topics in E. De Biasi’s work include Multiple Myeloma Research and Treatments (3 papers), Lymphoma Diagnosis and Treatment (2 papers) and Hemophilia Treatment and Research (2 papers). E. De Biasi is often cited by papers focused on Multiple Myeloma Research and Treatments (3 papers), Lymphoma Diagnosis and Treatment (2 papers) and Hemophilia Treatment and Research (2 papers). E. De Biasi collaborates with scholars based in Italy. E. De Biasi's co-authors include Paolo Radossi, Giuseppe Tagariello, P.G. Davoli, K. Zakrzewska, A. Azzi, Rita De Santis, Renato Zambello, Carmelo Lacognata, Filippo Crimì and Annamaria Guolo and has published in prestigious journals such as Journal of Medical Virology, Clinical Radiology and Haemophilia.

In The Last Decade

Co-authorship network of co-authors of E. De Biasi i

Fields of papers citing papers by E. De Biasi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E. De Biasi. 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 E. De Biasi. The network helps show where E. De Biasi may publish in the future.

Countries citing papers authored by E. De Biasi

Since Specialization
Citations

This map shows the geographic impact of E. De Biasi'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 E. De Biasi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. De Biasi 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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2025