Gábor Egervári

21 papers and 1.2k indexed citations i.

About

Gábor Egervári is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Gábor Egervári has authored 21 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 10 papers in Cellular and Molecular Neuroscience and 3 papers in Physiology. Recurrent topics in Gábor Egervári’s work include Epigenetics and DNA Methylation (8 papers), Neurotransmitter Receptor Influence on Behavior (8 papers) and Genomics and Chromatin Dynamics (5 papers). Gábor Egervári is often cited by papers focused on Epigenetics and DNA Methylation (8 papers), Neurotransmitter Receptor Influence on Behavior (8 papers) and Genomics and Chromatin Dynamics (5 papers). Gábor Egervári collaborates with scholars based in United States, Hungary and Italy. Gábor Egervári's co-authors include Shelley L. Berger, Yasmin L. Hurd, Zhimin Lu, Yugang Wang, Xinjian Li, Panos Roussos, M. L. Miller, Henrietta Szutorisz, John F. Fullard and Greg Donahue and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Co-authorship network of co-authors of Gábor Egervári i

Fields of papers citing papers by Gábor Egervári

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gábor Egervári

Since Specialization
Citations

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