Uberta Verga

20 papers and 593 indexed citations i.

About

Uberta Verga is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology and Molecular Biology. According to data from OpenAlex, Uberta Verga has authored 20 papers receiving a total of 593 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Endocrinology, Diabetes and Metabolism, 6 papers in Epidemiology and 5 papers in Molecular Biology. Recurrent topics in Uberta Verga’s work include Thyroid Cancer Diagnosis and Treatment (8 papers), Pituitary Gland Disorders and Treatments (7 papers) and Neuroendocrine Tumor Research Advances (6 papers). Uberta Verga is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (8 papers), Pituitary Gland Disorders and Treatments (7 papers) and Neuroendocrine Tumor Research Advances (6 papers). Uberta Verga collaborates with scholars based in Italy, United States and Iran. Uberta Verga's co-authors include Paolo Beck‐Peccoz, Laura Fugazzola, Marcello Filopanti, Leonardo Vicentini, Stefano Ferrero, Luca Persani, Cristina Eller-Vainicher, Volha V. Zhukouskaya, Fabio Massimo Ulivieri and Maria Rosa Pelizzo and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, European Journal of Endocrinology and Clinical Endocrinology.

In The Last Decade

Co-authorship network of co-authors of Uberta Verga i

Fields of papers citing papers by Uberta Verga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Uberta Verga

Since Specialization
Citations

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