Neda Pecori

14 papers and 629 indexed citations i.

About

Neda Pecori is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Molecular Biology. According to data from OpenAlex, Neda Pecori has authored 14 papers receiving a total of 629 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cardiology and Cardiovascular Medicine, 7 papers in Endocrinology, Diabetes and Metabolism and 5 papers in Molecular Biology. Recurrent topics in Neda Pecori’s work include Cardiovascular Function and Risk Factors (4 papers), Metabolism, Diabetes, and Cancer (4 papers) and Diabetes Treatment and Management (4 papers). Neda Pecori is often cited by papers focused on Cardiovascular Function and Risk Factors (4 papers), Metabolism, Diabetes, and Cancer (4 papers) and Diabetes Treatment and Management (4 papers). Neda Pecori collaborates with scholars based in Italy, United States and Czechia. Neda Pecori's co-authors include Andrea Natali, Eleuterio Ferrannini, Ele Ferrannini, G. Buzzigoli, Alfredo Quiñones Galvan, Paolo Marraccini, Roberto Lorenzoni, Paolo G. Camici, Mario Marzilli and Antonio L’Abbate and has published in prestigious journals such as Journal of the American College of Cardiology, Diabetes and Hypertension.

In The Last Decade

Co-authorship network of co-authors of Neda Pecori i

Fields of papers citing papers by Neda Pecori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Neda Pecori

Since Specialization
Citations

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