Gergely Nagy

44 papers and 1.6k indexed citations i.

About

Gergely Nagy is a scholar working on Molecular Biology, Immunology and Physiology. According to data from OpenAlex, Gergely Nagy has authored 44 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 13 papers in Immunology and 10 papers in Physiology. Recurrent topics in Gergely Nagy’s work include Immune cells in cancer (8 papers), Pain Mechanisms and Treatments (7 papers) and Epigenetics and DNA Methylation (7 papers). Gergely Nagy is often cited by papers focused on Immune cells in cancer (8 papers), Pain Mechanisms and Treatments (7 papers) and Epigenetics and DNA Methylation (7 papers). Gergely Nagy collaborates with scholars based in Hungary, United States and Germany. Gergely Nagy's co-authors include László Nagy, David Maxwell, Erika Polgár, David I. Hughes, Andrew J. Todd, Margaret Mackie, Ole Petter Ottersen, Andrew Todd, Masahiko Watanabe and Masahiro Fukaya and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

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

Fields of papers citing papers by Gergely Nagy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gergely Nagy

Since Specialization
Citations

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