Gy. Tamás

17 papers and 385 indexed citations i.

About

Gy. Tamás is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Genetics. According to data from OpenAlex, Gy. Tamás has authored 17 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Surgery, 7 papers in Endocrinology, Diabetes and Metabolism and 4 papers in Genetics. Recurrent topics in Gy. Tamás’s work include Diabetes Treatment and Management (5 papers), Diabetes Management and Research (5 papers) and Pancreatic Islet Dysfunction and Regeneration (4 papers). Gy. Tamás is often cited by papers focused on Diabetes Treatment and Management (5 papers), Diabetes Management and Research (5 papers) and Pancreatic Islet Dysfunction and Regeneration (4 papers). Gy. Tamás collaborates with scholars based in Hungary, United Kingdom and Belgium. Gy. Tamás's co-authors include Z Kerényi, L. K. Stevens, Simon Eaton, Solomon Tesfaye, Nish Chaturvedi, J. H. Fuller, David J. Webb, Péter Kempler, J. D. Ward and Anna Lindholm Olinder and has published in prestigious journals such as Diabetes, Diabetologia and Metabolism.

In The Last Decade

Co-authorship network of co-authors of Gy. Tamás i

Fields of papers citing papers by Gy. Tamás

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gy. Tamás

Since Specialization
Citations

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