György Lévay

92 total papers · 2.1k total citations
73 papers, 1.6k citations indexed

About

György Lévay is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cancer Research. According to data from OpenAlex, György Lévay has authored 73 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Cellular and Molecular Neuroscience, 31 papers in Molecular Biology and 11 papers in Cancer Research. Recurrent topics in György Lévay's work include Neuroscience and Neuropharmacology Research (25 papers), Receptor Mechanisms and Signaling (15 papers) and Stress Responses and Cortisol (10 papers). György Lévay is often cited by papers focused on Neuroscience and Neuropharmacology Research (25 papers), Receptor Mechanisms and Signaling (15 papers) and Stress Responses and Cortisol (10 papers). György Lévay collaborates with scholars based in Hungary, United States and France. György Lévay's co-authors include William J. Bodell, László G. Hársing, Gábor Szénási, Krisztina Pongracz, István Gacsályi, Gábor Gigler, István Gyertyán, András Bilkei‐Gorzó, Hajnalka Kompagne and Rita Jakus and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Scientific Reports and Brain Research.

In The Last Decade

György Lévay

72 papers receiving 1.6k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
György Lévay	631	619	223	188	176	73	1.6k
Heidi Kaastrup Müller	553 0.9×	724 1.2×	338 1.5×	73 0.4×	485 2.8×	87	2.3k
Young Hoon Kim	749 1.2×	528 0.9×	186 0.8×	47 0.3×	284 1.6×	65	1.8k
Ying‐Jui Ho	466 0.7×	755 1.2×	230 1.0×	71 0.4×	177 1.0×	84	1.9k
Xinhong Zhu	693 1.1×	510 0.8×	288 1.3×	117 0.6×	441 2.5×	66	2.2k
János Kálmán	728 1.2×	318 0.5×	188 0.8×	91 0.5×	375 2.1×	109	2.2k
Patrizia Ambrogini	652 1.0×	880 1.4×	149 0.7×	71 0.4×	110 0.6×	88	2.2k
You‐Zhi Zhang	626 1.0×	540 0.9×	474 2.1×	86 0.5×	478 2.7×	121	2.0k
Patrı́cia Pereira	490 0.8×	771 1.2×	128 0.6×	75 0.4×	72 0.4×	70	2.0k
Masashi Asai	611 1.0×	266 0.4×	253 1.1×	75 0.4×	234 1.3×	47	1.8k
Bingjin Li	392 0.6×	265 0.4×	229 1.0×	115 0.6×	305 1.7×	42	1.5k

Countries citing papers authored by György Lévay

Since Specialization

Citations

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

Fields of papers citing papers by György Lévay

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of György Lévay

This figure shows the co-authorship network connecting the top 25 collaborators of György Lévay. A scholar is included among the top collaborators of György Lévay 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 György Lévay. György Lévay is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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