Gábor Juhász

5.3k total citations
144 papers, 4.2k citations indexed

About

Gábor Juhász is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Gábor Juhász has authored 144 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Cellular and Molecular Neuroscience, 45 papers in Cognitive Neuroscience and 42 papers in Molecular Biology. Recurrent topics in Gábor Juhász's work include Neuroscience and Neuropharmacology Research (64 papers), Neural dynamics and brain function (26 papers) and Adenosine and Purinergic Signaling (23 papers). Gábor Juhász is often cited by papers focused on Neuroscience and Neuropharmacology Research (64 papers), Neural dynamics and brain function (26 papers) and Adenosine and Purinergic Signaling (23 papers). Gábor Juhász collaborates with scholars based in Hungary, United States and United Kingdom. Gábor Juhász's co-authors include Katalin A. Kékesi, Zsolt Kovács, Árpád Dobolyi, Vincenzo Crunelli, Magor L. Lörincz, T Kukorelli, Stuart W. Hughes, Gabriella Nyitrai, András Czurkó and Nóra Szilágyi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Neuron.

In The Last Decade

Gábor Juhász

142 papers receiving 4.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gábor Juhász Hungary 35 1.5k 1.3k 961 576 521 144 4.2k
Marc Flajolet United States 33 2.0k 1.3× 2.4k 1.9× 600 0.6× 797 1.4× 217 0.4× 65 4.8k
Anker Jón Hansen Denmark 37 3.1k 2.1× 3.0k 2.4× 675 0.7× 903 1.6× 536 1.0× 67 6.9k
Takashi Uehara Japan 39 1.0k 0.7× 2.8k 2.2× 392 0.4× 1.1k 1.9× 259 0.5× 172 5.7k
Wolfgang Kuschinsky Germany 43 1.3k 0.9× 1.8k 1.4× 448 0.5× 1.3k 2.2× 216 0.4× 162 6.2k
Laura L. Dugan United States 46 1.7k 1.1× 2.7k 2.1× 476 0.5× 1.0k 1.8× 254 0.5× 80 7.6k
Kazutoshi Suzuki Japan 41 2.3k 1.5× 1.6k 1.2× 834 0.9× 742 1.3× 521 1.0× 199 6.2k
Kazuo Yamada Japan 42 1.5k 1.0× 2.5k 2.0× 728 0.8× 465 0.8× 183 0.4× 242 5.9k
Hirotaka Onoe Japan 43 1.9k 1.3× 2.5k 2.0× 1.5k 1.6× 668 1.2× 243 0.5× 171 7.0k
Wing‐Ho Yung Hong Kong 47 3.1k 2.0× 2.0k 1.6× 1.0k 1.1× 765 1.3× 180 0.3× 180 7.3k

Countries citing papers authored by Gábor Juhász

Since Specialization
Citations

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

Fields of papers citing papers by Gábor Juhász

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gábor Juhász

This figure shows the co-authorship network connecting the top 25 collaborators of Gábor Juhász. A scholar is included among the top collaborators of Gábor Juhász 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 Gábor Juhász. Gábor Juhász 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.
2.
Juhász, Gábor, et al.. (2024). Hippocampal recording with a soft microelectrode array in a cranial window imaging scheme: a validation study. Scientific Reports. 14(1). 24585–24585. 2 indexed citations
3.
Györffy, Balázs A., György Török, Péter Gulyássy, et al.. (2020). Synaptic mitochondrial dysfunction and septin accumulation are linked to complement-mediated synapse loss in an Alzheimer’s disease animal model. Cellular and Molecular Life Sciences. 77(24). 5243–5258. 50 indexed citations
4.
Völgyi, Katalin, Fernando J. Sialana, Péter Gulyássy, et al.. (2018). Early Presymptomatic Changes in the Proteome of Mitochondria-Associated Membrane in the APP/PS1 Mouse Model of Alzheimer’s Disease. Molecular Neurobiology. 55(10). 7839–7857. 67 indexed citations
5.
Dobolyi, Árpád, et al.. (2014). Receptors of Peptides as Therapeutic Targets in Epilepsy Research. Current Medicinal Chemistry. 21(6). 764–787. 39 indexed citations
6.
Kovács, Zsolt, András Czurkó, Katalin A. Kékesi, & Gábor Juhász. (2012). Neonatal tricyclic antidepressant clomipramine treatment reduces the spike-wave discharge activity of the adult WAG/Rij rat. Brain Research Bulletin. 89(3-4). 102–107. 15 indexed citations
7.
Dobó, József, Balázs Major, Katalin A. Kékesi, et al.. (2011). Cleavage of Kininogen and Subsequent Bradykinin Release by the Complement Component: Mannose-Binding Lectin-Associated Serine Protease (MASP)-1. PLoS ONE. 6(5). e20036–e20036. 94 indexed citations
8.
Lörincz, Magor L., et al.. (2008). Functional Consequences of Retinopetal Fibers Originating in the Dorsal Raphe Nucleus. International Journal of Neuroscience. 118(10). 1374–1383. 8 indexed citations
9.
Gallyas, Ferenc, et al.. (2008). The mode of death of epilepsy-induced “dark” neurons is neither necrosis nor apoptosis: An electron-microscopic study. Brain Research. 1239. 207–215. 39 indexed citations
10.
Juhász, Gábor, et al.. (2006). Theoretical study of solvent effect on π-EDA complexation II. Complex between TCNE and two benzene molecules. Chemical Papers. 61(1). 8 indexed citations
11.
Medveczky, Peter G., József Antal, András Patthy, et al.. (2005). Myelin basic protein, an autoantigen in multiple sclerosis, is selectively processed by human trypsin 4. FEBS Letters. 580(2). 545–552. 35 indexed citations
12.
Klivènyi, Péter, et al.. (2005). Effects of Mitochondrial Toxins on the Brain Amino Acid Concentrations. Neurochemical Research. 30(11). 1421–1427. 9 indexed citations
13.
Nomura, K., et al.. (2002). Mössbauer Study of (Sr,Ca)(Fe,Co)O3−δ Applied to CO2 Absorption at High Temperatures. Hyperfine Interactions. 139-140(1-4). 297–305. 10 indexed citations
14.
Nyitrai, Gabriella, et al.. (2002). Neurotoxicity of Lindane and Picrotoxin: Neurochemical and Electrophysiological Correlates in the Rat Hippocampus In Vivo. Neurochemical Research. 27(1-2). 139–145. 11 indexed citations
15.
Dobolyi, Árpád, et al.. (2000). Sustained depolarisation induces changes in the extracellular concentrations of purine and pyrimidine nucleosides in the rat thalamus. Neurochemistry International. 37(1). 71–79. 44 indexed citations
16.
Nyitrai, Gabriella, et al.. (1999). Effect of CGP 36742 on the extracellular level of neurotransmitter amino acids in the thalamus. Neurochemistry International. 34(5). 391–398. 14 indexed citations
17.
Ábrahám, István M., Gábor Juhász, Katalin A. Kékesi, & Krisztina Kovács. (1996). Effect of intrahippocampal dexamethasone on the levels of amino acid transmitters and neuronal excitability. Brain Research. 733(1). 56–63. 47 indexed citations
18.
Juhász, Gábor, et al.. (1991). Sleep promoting effect of a putative glial γ-aminobutyric acid uptake blocker applied in the thalamus of cats. European Journal of Pharmacology. 209(1-2). 131–133. 13 indexed citations
19.
Juhász, Gábor, et al.. (1989). Local perfusion of the thalamus with GABA increases sleep and induces long-lasting inhibition of somatosensory event-related potentials in cats. Neuroscience Letters. 103(2). 229–233. 19 indexed citations
20.
Kukorelli, T, et al.. (1986). Effect of glutaurine on sleep-wakefulness cycle and aggressive behaviour in the cat.. PubMed. 67(1). 31–5. 7 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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