Maria Pia Adorni

72 papers and 2.2k indexed citations i.

About

Maria Pia Adorni is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Molecular Biology. According to data from OpenAlex, Maria Pia Adorni has authored 72 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Surgery, 19 papers in Endocrinology, Diabetes and Metabolism and 15 papers in Molecular Biology. Recurrent topics in Maria Pia Adorni’s work include Lipoproteins and Cardiovascular Health (29 papers), Cholesterol and Lipid Metabolism (27 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (14 papers). Maria Pia Adorni is often cited by papers focused on Lipoproteins and Cardiovascular Health (29 papers), Cholesterol and Lipid Metabolism (27 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (14 papers). Maria Pia Adorni collaborates with scholars based in Italy, United States and Germany. Maria Pia Adorni's co-authors include Francesca Zimetti, Elda Favari, Franco Bernini, Nicoletta Ronda, Nicola Ferri, Massimiliano Ruscica, George H. Rothblat, Michael C. Phillips, Laura Calabresi and Guido Franceschini and has published in prestigious journals such as Nature Communications, The Journal of Clinical Endocrinology & Metabolism and Biochemistry.

In The Last Decade

Co-authorship network of co-authors of Maria Pia Adorni i

Fields of papers citing papers by Maria Pia Adorni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria Pia Adorni. 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 Maria Pia Adorni. The network helps show where Maria Pia Adorni may publish in the future.

Countries citing papers authored by Maria Pia Adorni

Since Specialization
Citations

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