Ágnes Vatay

9 total papers · 483 total citations
7 papers, 299 citations indexed

About

Ágnes Vatay is a scholar working on Immunology, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Ágnes Vatay has authored 7 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Immunology, 3 papers in Surgery and 3 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Ágnes Vatay’s work include Diabetes and associated disorders (3 papers), Pancreatic function and diabetes (3 papers) and Complement system in diseases (2 papers). Ágnes Vatay is often cited by papers focused on Diabetes and associated disorders (3 papers), Pancreatic function and diabetes (3 papers) and Complement system in diseases (2 papers). Ágnes Vatay collaborates with scholars based in Hungary, United States and South Korea. Ágnes Vatay's co-authors include István Karádi, George Füst, Zoltán Prohászka, Csaba Szalai, Nóra Hosszúfalusi, Éva Pozsonyi, Pál Pánczél, Katalin Rajczy, Carol A. Blanchong and Yan Yang and has published in prestigious journals such as The Journal of Immunology, Diabetes Care and Immunology Letters.

In The Last Decade

Co-authorship network of co-authors of Ágnes Vatay

This figure shows the co-authorship network connecting the top 25 collaborators of Ágnes Vatay. A scholar is included among the top collaborators of Ágnes Vatay based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ágnes Vatay. Ágnes Vatay is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Ágnes Vatay

7 papers receiving 286 citations

Fields of papers citing papers by Ágnes Vatay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ágnes Vatay

Since Specialization
Citations

This map shows the geographic impact of Ágnes Vatay'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 Ágnes Vatay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ágnes Vatay 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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2026