Massimo de Cal

127 papers and 2.7k indexed citations i.

About

Massimo de Cal is a scholar working on Nephrology, Epidemiology and Critical Care and Intensive Care Medicine. According to data from OpenAlex, Massimo de Cal has authored 127 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Nephrology, 31 papers in Epidemiology and 20 papers in Critical Care and Intensive Care Medicine. Recurrent topics in Massimo de Cal’s work include Acute Kidney Injury Research (50 papers), Dialysis and Renal Disease Management (40 papers) and Sepsis Diagnosis and Treatment (26 papers). Massimo de Cal is often cited by papers focused on Acute Kidney Injury Research (50 papers), Dialysis and Renal Disease Management (40 papers) and Sepsis Diagnosis and Treatment (26 papers). Massimo de Cal collaborates with scholars based in Italy, United States and Australia. Massimo de Cal's co-authors include Claudio Ronco, Dinna N. Cruz, Grazia Maria Virzì, Valentina Corradi, Paolo Lentini, Federico Nalesso, Mark A. Perazella, Pasquale Piccinni, Anna Clementi and Alessandra Brocca and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and Critical Care Medicine.

In The Last Decade

Co-authorship network of co-authors of Massimo de Cal i

Fields of papers citing papers by Massimo de Cal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Massimo de Cal. 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 Massimo de Cal. The network helps show where Massimo de Cal may publish in the future.

Countries citing papers authored by Massimo de Cal

Since Specialization
Citations

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