Dianzani Mu

22 papers and 405 indexed citations i.

About

Dianzani Mu is a scholar working on Molecular Biology, Clinical Biochemistry and Physiology. According to data from OpenAlex, Dianzani Mu has authored 22 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Clinical Biochemistry and 2 papers in Physiology. Recurrent topics in Dianzani Mu’s work include Metabolism and Genetic Disorders (3 papers), Chemokine receptors and signaling (2 papers) and Antioxidant Activity and Oxidative Stress (2 papers). Dianzani Mu is often cited by papers focused on Metabolism and Genetic Disorders (3 papers), Chemokine receptors and signaling (2 papers) and Antioxidant Activity and Oxidative Stress (2 papers). Dianzani Mu collaborates with scholars based in Italy. Dianzani Mu's co-authors include M Curzio, H. Esterbauer, Giuliana Muzio, Giuseppe Poli, Fiorella Biasi, G. Cecchini, Mario Comporti, Elena Chiarpotto, Emanuele Albano and L Paradisi and has published in prestigious journals such as PubMed.

In The Last Decade

Co-authorship network of co-authors of Dianzani Mu i

Fields of papers citing papers by Dianzani Mu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dianzani Mu

Since Specialization
Citations

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