E Vecci

26 papers and 1.2k indexed citations i.

About

E Vecci is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Surgery. According to data from OpenAlex, E Vecci has authored 26 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Endocrinology, Diabetes and Metabolism, 8 papers in Genetics and 7 papers in Surgery. Recurrent topics in E Vecci’s work include Diabetes and associated disorders (7 papers), Diabetes Management and Research (7 papers) and Pancreatic Islet Dysfunction and Regeneration (6 papers). E Vecci is often cited by papers focused on Diabetes and associated disorders (7 papers), Diabetes Management and Research (7 papers) and Pancreatic Islet Dysfunction and Regeneration (6 papers). E Vecci collaborates with scholars based in Italy, United States and United Kingdom. E Vecci's co-authors include Umberto Di Mario, Frida Leonetti, Mária Cristina Ribaudo, Alessandra Zappaterreno, Gianluca Iacobellis, Claudio Tiberti, Filippo Assael, E D’Erasmo, G Aliberti and Francesco S. Celi and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Transplantation and Journal of Immunological Methods.

In The Last Decade

Co-authorship network of co-authors of E Vecci i

Fields of papers citing papers by E Vecci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by E Vecci

Since Specialization
Citations

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