Gergely Orbán

25 total papers · 1.0k total citations
14 papers, 767 citations indexed

About

Gergely Orbán is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Gergely Orbán has authored 14 papers receiving a total of 767 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cellular and Molecular Neuroscience, 4 papers in Molecular Biology and 4 papers in Cognitive Neuroscience. Recurrent topics in Gergely Orbán's work include Neuroscience and Neuropharmacology Research (12 papers), Neural dynamics and brain function (4 papers) and Sleep and Wakefulness Research (3 papers). Gergely Orbán is often cited by papers focused on Neuroscience and Neuropharmacology Research (12 papers), Neural dynamics and brain function (4 papers) and Sleep and Wakefulness Research (3 papers). Gergely Orbán collaborates with scholars based in United Kingdom, Malta and Italy. Gergely Orbán's co-authors include Giuseppe Di Giovanni, Vincenzo Crunelli, Magor L. Lörincz, David W. Cope, Adam C. Errington, David Carter, Timothy Gould, Régis C. Lambert, Nathalie Leresche and François David and has published in prestigious journals such as Nature Medicine, Journal of Neuroscience and Nature Neuroscience.

In The Last Decade

Gergely Orbán

14 papers receiving 761 citations

Author Peers

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

Author Last Decade Papers Cites
Gergely Orbán 551 351 215 173 62 14 767
Eiichi Maru 620 1.1× 304 0.9× 289 1.3× 128 0.7× 65 1.0× 22 801
Cleiton Lopes‐Aguiar 508 0.9× 303 0.9× 187 0.9× 160 0.9× 60 1.0× 28 825
Javier De Felipe 645 1.2× 390 1.1× 210 1.0× 158 0.9× 75 1.2× 13 858
Francine M. Benes 301 0.5× 253 0.7× 147 0.7× 189 1.1× 35 0.6× 11 703
Asla Pitkänen 560 1.0× 324 0.9× 144 0.7× 250 1.4× 40 0.6× 11 739
Allyson Howard 527 1.0× 291 0.8× 160 0.7× 115 0.7× 58 0.9× 10 687
Marie K. L. Nilsson 521 0.9× 212 0.6× 280 1.3× 135 0.8× 30 0.5× 11 842
Emilio R. Garrido-Sanabria 530 1.0× 256 0.7× 344 1.6× 119 0.7× 58 0.9× 26 811
Lézio Soares Bueno-Júnior 423 0.8× 214 0.6× 156 0.7× 151 0.9× 43 0.7× 27 681
Granger G.C. Hwa 527 1.0× 228 0.6× 304 1.4× 259 1.5× 50 0.8× 21 788

Countries citing papers authored by Gergely Orbán

Since Specialization
Citations

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

Fields of papers citing papers by Gergely Orbán

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gergely Orbán

This figure shows the co-authorship network connecting the top 25 collaborators of Gergely Orbán. A scholar is included among the top collaborators of Gergely Orbán 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 Gergely Orbán. Gergely Orbán 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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