Ágnes Szappanos

29 papers and 359 indexed citations i.

About

Ágnes Szappanos is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Rheumatology. According to data from OpenAlex, Ágnes Szappanos has authored 29 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Endocrinology, Diabetes and Metabolism, 5 papers in Genetics and 4 papers in Rheumatology. Recurrent topics in Ágnes Szappanos’s work include Adrenal Hormones and Disorders (11 papers), Hormonal Regulation and Hypertension (8 papers) and Pituitary Gland Disorders and Treatments (6 papers). Ágnes Szappanos is often cited by papers focused on Adrenal Hormones and Disorders (11 papers), Hormonal Regulation and Hypertension (8 papers) and Pituitary Gland Disorders and Treatments (6 papers). Ágnes Szappanos collaborates with scholars based in Hungary, United States and Italy. Ágnes Szappanos's co-authors include Attila Patócs, Miklós Tóth, Kàroly Rácz, Judit Tőke, Edit Gláz, K. Rácz, István Likó, Péter Gergics, Anna Bazsó and Gábor Borgulya and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, International Journal of Molecular Sciences and Nutrients.

In The Last Decade

Co-authorship network of co-authors of Ágnes Szappanos i

Fields of papers citing papers by Ágnes Szappanos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ágnes Szappanos

Since Specialization
Citations

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