László Héja

1.3k total citations
46 papers, 1.0k citations indexed

About

László Héja is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, László Héja has authored 46 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Cellular and Molecular Neuroscience, 27 papers in Molecular Biology and 10 papers in Cognitive Neuroscience. Recurrent topics in László Héja's work include Neuroscience and Neuropharmacology Research (34 papers), Ion channel regulation and function (12 papers) and Neural dynamics and brain function (8 papers). László Héja is often cited by papers focused on Neuroscience and Neuropharmacology Research (34 papers), Ion channel regulation and function (12 papers) and Neural dynamics and brain function (8 papers). László Héja collaborates with scholars based in Hungary, Germany and Austria. László Héja's co-authors include Julianna Kardos, Gabriella Nyitrai, Ágnes Simon, Árpád Dobolyi, Katalin Jemnitz, Miklós Palkovits, Richard J. Kovacs, István Jablonkai, Zsolt Szabó and Bálint Lasztóczi and has published in prestigious journals such as PLoS ONE, Langmuir and Journal of Neurophysiology.

In The Last Decade

László Héja

45 papers receiving 1.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
László Héja Hungary 18 590 403 218 170 126 46 1.0k
Chian‐Ming Low Singapore 18 964 1.6× 866 2.1× 155 0.7× 141 0.8× 281 2.2× 30 1.6k
Geraldine J. Kress United States 17 831 1.4× 966 2.4× 211 1.0× 243 1.4× 271 2.2× 19 1.9k
Francesca Vaglini Italy 17 529 0.9× 477 1.2× 117 0.5× 89 0.5× 135 1.1× 72 1.2k
Asheebo Rojas United States 22 560 0.9× 572 1.4× 90 0.4× 180 1.1× 126 1.0× 38 1.4k
Valentina Savchenko United States 14 586 1.0× 614 1.5× 92 0.4× 196 1.2× 152 1.2× 19 1.2k
Elżbieta Salińska Poland 20 551 0.9× 595 1.5× 111 0.5× 219 1.3× 251 2.0× 64 1.4k
N Ogawa Japan 24 683 1.2× 564 1.4× 103 0.5× 186 1.1× 226 1.8× 89 1.7k
Noelia Granado Spain 18 1.0k 1.8× 441 1.1× 157 0.7× 275 1.6× 156 1.2× 28 1.7k
Ross D. O’Shea Australia 22 783 1.3× 703 1.7× 70 0.3× 243 1.4× 237 1.9× 40 1.7k
Л. Г. Хаспеков Russia 17 409 0.7× 428 1.1× 68 0.3× 78 0.5× 143 1.1× 83 999

Countries citing papers authored by László Héja

Since Specialization
Citations

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

Fields of papers citing papers by László Héja

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of László Héja

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

All Works

20 of 20 papers shown
1.
Erdei, Zsuzsa, Edit Szabó, György Várady, et al.. (2024). Mesenchymal Stem Cells Increase Drug Tolerance of A431 Cells Only in 3D Spheroids, Not in 2D Co-Cultures. International Journal of Molecular Sciences. 25(8). 4515–4515. 1 indexed citations
2.
Héja, László, Ágnes Simon, & Julianna Kardos. (2024). Simulation of gap junction formation reveals critical role of Cys disulfide redox state in connexin hemichannel docking. Cell Communication and Signaling. 22(1). 185–185. 1 indexed citations
3.
Kovács, Zsolt, Serguei N. Skatchkov, Zsolt Szabó, et al.. (2022). Putrescine Intensifies Glu/GABA Exchange Mechanism and Promotes Early Termination of Seizures. International Journal of Molecular Sciences. 23(15). 8191–8191. 11 indexed citations
4.
Kovács, Zsolt, Serguei N. Skatchkov, Rüdiger W. Veh, et al.. (2022). Critical Role of Astrocytic Polyamine and GABA Metabolism in Epileptogenesis. Frontiers in Cellular Neuroscience. 15. 787319–787319. 20 indexed citations
5.
Héja, László, et al.. (2021). Spontaneous Ca2+ Fluctuations Arise in Thin Astrocytic Processes With Real 3D Geometry. Frontiers in Cellular Neuroscience. 15. 617989–617989. 11 indexed citations
6.
Héja, László & Julianna Kardos. (2019). NCX activity generates spontaneous Ca2+ oscillations in the astrocytic leaflet microdomain. Cell Calcium. 86. 102137–102137. 16 indexed citations
7.
Szabó, Zsolt, et al.. (2019). Connexin 43 Differentially Regulates Epileptiform Activity in Models of Convulsive and Non-convulsive Epilepsies. Frontiers in Cellular Neuroscience. 13. 173–173. 23 indexed citations
8.
Kardos, Julianna, László Héja, Ágnes Simon, et al.. (2018). Copper signalling: causes and consequences. Cell Communication and Signaling. 16(1). 71–71. 160 indexed citations
9.
Szabó, Zsolt, László Héja, Gergely Szalay, et al.. (2017). Extensive astrocyte synchronization advances neuronal coupling in slow wave activity in vivo. Scientific Reports. 7(1). 6018–6018. 65 indexed citations
10.
Kardos, Julianna, László Héja, Katalin Jemnitz, Richard J. Kovacs, & Miklós Palkovits. (2017). The nature of early astroglial protection—Fast activation and signaling. Progress in Neurobiology. 153. 86–99. 21 indexed citations
11.
Ma, Xiaofeng, Enikő Ioja, Orsolya Kékesi, et al.. (2015). Straightforward and effective synthesis of γ-aminobutyric acid transporter subtype 2-selective acyl-substituted azaspiro[4.5]decanes. Bioorganic & Medicinal Chemistry Letters. 26(2). 417–423. 6 indexed citations
12.
Kovács, Zsolt, et al.. (2015). Effects of Nucleosides on Glia - Neuron Interactions Open up New Vistas in the Development of More Effective Antiepileptic Drugs. Current Medicinal Chemistry. 22(12). 1500–1514. 3 indexed citations
13.
Simon, Ágnes, Ákos Bencsura, László Héja, Csaba Magyar, & Julianna Kardos. (2014). Sodium-Assisted Formation of Binding and Traverse Conformations of the Substrate in a Neurotransmitter Sodium Symporter Model. Current Drug Discovery Technologies. 11(3). 227–233. 3 indexed citations
14.
Nyitrai, Gabriella, et al.. (2013). Polyamidoamine dendrimer impairs mitochondrial oxidation in brain tissue. Journal of Nanobiotechnology. 11(1). 9–9. 22 indexed citations
15.
Nyitrai, Gabriella, Tamás Keszthelyi, Attila Bóta, et al.. (2013). Sodium selective ion channel formation in living cell membranes by polyamidoamine dendrimer. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1828(8). 1873–1880. 17 indexed citations
16.
Nyitrai, Gabriella, et al.. (2013). Neuronal and Astroglial Correlates Underlying Spatiotemporal Intrinsic Optical Signal in the Rat Hippocampal Slice. PLoS ONE. 8(3). e57694–e57694. 19 indexed citations
17.
Simon, Ágnes, et al.. (2009). Substrate–Na+ complex formation: Coupling mechanism for γ-aminobutyrate symporters. Biochemical and Biophysical Research Communications. 385(2). 210–214. 8 indexed citations
18.
Simon, Ágnes, Júlia Visy, László Héja, et al.. (2008). Cyclothiazide binding to the GABAA receptor. Neuroscience Letters. 439(1). 66–69. 3 indexed citations
19.
Kardos, Julianna, et al.. (2008). Emerging the Role of the Structure of Brain Membrane Targets Recognizing Glutamate. Current Drug Discovery Technologies. 5(1). 70–74.
20.
Bencsura, Ákos, László Héja, Tamás Beke‐Somfai, et al.. (2007). Major human γ-aminobutyrate transporter: In silico prediction of substrate efficacy. Biochemical and Biophysical Research Communications. 364(4). 952–958. 18 indexed citations

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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