Maurizio Dan

31 papers and 1.8k indexed citations i.

About

Maurizio Dan is a scholar working on Nephrology, Epidemiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Maurizio Dan has authored 31 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Nephrology, 10 papers in Epidemiology and 7 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Maurizio Dan’s work include Acute Kidney Injury Research (12 papers), Sepsis Diagnosis and Treatment (8 papers) and Dialysis and Renal Disease Management (7 papers). Maurizio Dan is often cited by papers focused on Acute Kidney Injury Research (12 papers), Sepsis Diagnosis and Treatment (8 papers) and Dialysis and Renal Disease Management (7 papers). Maurizio Dan collaborates with scholars based in Italy, Australia and United States. Maurizio Dan's co-authors include Claudio Ronco, Pasquale Piccinni, Alessandra Brendolan, Rinaldo Bellomo, Peter Homel, Zaccaria Ricci, Gabriella Salvatori, Ciro Tetta, Nereo Zamperetti and M Irone and has published in prestigious journals such as The Lancet, Kidney International and Critical Care Medicine.

In The Last Decade

Co-authorship network of co-authors of Maurizio Dan i

Fields of papers citing papers by Maurizio Dan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maurizio Dan

Since Specialization
Citations

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