Giuseppe Di Lernia

6 papers and 372 indexed citations i.

About

Giuseppe Di Lernia is a scholar working on Hematology, Molecular Biology and Epidemiology. According to data from OpenAlex, Giuseppe Di Lernia has authored 6 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Hematology, 2 papers in Molecular Biology and 2 papers in Epidemiology. Recurrent topics in Giuseppe Di Lernia’s work include Multiple Myeloma Research and Treatments (3 papers), Protein Degradation and Inhibitors (2 papers) and Mast cells and histamine (1 paper). Giuseppe Di Lernia is often cited by papers focused on Multiple Myeloma Research and Treatments (3 papers), Protein Degradation and Inhibitors (2 papers) and Mast cells and histamine (1 paper). Giuseppe Di Lernia collaborates with scholars based in Italy, Germany and France. Giuseppe Di Lernia's co-authors include Vito Racanelli, Angelo Vacca, Patrizia Leone, Mojgan Djavaheri‐Mergny, Slavica Brnjic, Maria Hägg, Stig Linder, Stefano Fais, Xiaonan Zhang and Patrice Codogno and has published in prestigious journals such as Journal of Biological Chemistry, Autoimmunity Reviews and OncoImmunology.

In The Last Decade

Co-authorship network of co-authors of Giuseppe Di Lernia i

Fields of papers citing papers by Giuseppe Di Lernia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Giuseppe Di Lernia. 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 Giuseppe Di Lernia. The network helps show where Giuseppe Di Lernia may publish in the future.

Countries citing papers authored by Giuseppe Di Lernia

Since Specialization
Citations

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