Géza Nagy

15 papers and 348 indexed citations i.

About

Géza Nagy is a scholar working on Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism and Reproductive Medicine. According to data from OpenAlex, Géza Nagy has authored 15 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cellular and Molecular Neuroscience, 4 papers in Endocrinology, Diabetes and Metabolism and 3 papers in Reproductive Medicine. Recurrent topics in Géza Nagy’s work include Neuropeptides and Animal Physiology (4 papers), Hypothalamic control of reproductive hormones (3 papers) and Diabetes Treatment and Management (2 papers). Géza Nagy is often cited by papers focused on Neuropeptides and Animal Physiology (4 papers), Hypothalamic control of reproductive hormones (3 papers) and Diabetes Treatment and Management (2 papers). Géza Nagy collaborates with scholars based in Hungary, Japan and United States. Géza Nagy's co-authors include Anikó Somogyi, Mária Sasvári‐Székely, Zsolt Rónai, Gábor Firneisz, Zsófia Nemoda, Makoto Naoi, M. E. Freeman, Anna Székely, Ferenc Fülöp and Krisztián Homicskó and has published in prestigious journals such as PLoS ONE, Progress in Neuro-Psychopharmacology and Biological Psychiatry and Journal of Neuroendocrinology.

In The Last Decade

Co-authorship network of co-authors of Géza Nagy i

Fields of papers citing papers by Géza Nagy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Géza Nagy

Since Specialization
Citations

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