Gabriella Kékesi

923 total citations
52 papers, 719 citations indexed

About

Gabriella Kékesi is a scholar working on Cellular and Molecular Neuroscience, Physiology and Molecular Biology. According to data from OpenAlex, Gabriella Kékesi has authored 52 papers receiving a total of 719 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Cellular and Molecular Neuroscience, 22 papers in Physiology and 13 papers in Molecular Biology. Recurrent topics in Gabriella Kékesi's work include Pain Mechanisms and Treatments (17 papers), Neurotransmitter Receptor Influence on Behavior (15 papers) and Neuroscience and Neuropharmacology Research (11 papers). Gabriella Kékesi is often cited by papers focused on Pain Mechanisms and Treatments (17 papers), Neurotransmitter Receptor Influence on Behavior (15 papers) and Neuroscience and Neuropharmacology Research (11 papers). Gabriella Kékesi collaborates with scholars based in Hungary, Austria and Sweden. Gabriella Kékesi's co-authors include Gyöngyi Horváth, György Benedek, Ildikó Dobos, Walter Klimscha, Gábor Tuboly, Edit Nagy, G. Benedek, Sándor Benyhe, Edina Szűcs and Margit Szikszay and has published in prestigious journals such as Neuron, PLoS ONE and Scientific Reports.

In The Last Decade

Gabriella Kékesi

47 papers receiving 715 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gabriella Kékesi Hungary 18 340 249 185 180 136 52 719
Andréa da Silva Torrão Brazil 18 272 0.8× 171 0.7× 236 1.3× 206 1.1× 78 0.6× 40 838
Oğuz Mutlu Türkiye 19 324 1.0× 221 0.9× 250 1.4× 130 0.7× 235 1.7× 67 977
Hakan Kayır Türkiye 18 453 1.3× 167 0.7× 330 1.8× 102 0.6× 88 0.6× 58 904
Füruzan Akar Türkiye 15 233 0.7× 144 0.6× 157 0.8× 74 0.4× 134 1.0× 40 631
Lidia Bravo Spain 14 317 0.9× 408 1.6× 199 1.1× 107 0.6× 175 1.3× 22 957
Eleni Païzanis France 14 312 0.9× 149 0.6× 149 0.8× 107 0.6× 127 0.9× 17 857
Janel M. Boyce‐Rustay United States 17 578 1.7× 213 0.9× 286 1.5× 113 0.6× 105 0.8× 19 875
Fukie Niijima Japan 18 354 1.0× 207 0.8× 235 1.3× 72 0.4× 69 0.5× 37 848
Sabrina Mioranzza Brazil 14 220 0.6× 120 0.5× 100 0.5× 135 0.8× 87 0.6× 16 647
Caroline Renard France 9 327 1.0× 88 0.4× 212 1.1× 125 0.7× 132 1.0× 14 721

Countries citing papers authored by Gabriella Kékesi

Since Specialization
Citations

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

Fields of papers citing papers by Gabriella Kékesi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriella Kékesi

This figure shows the co-authorship network connecting the top 25 collaborators of Gabriella Kékesi. A scholar is included among the top collaborators of Gabriella Kékesi 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 Gabriella Kékesi. Gabriella Kékesi 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.
Makra, Nóra, Balázs Ligeti, Bence Ágg, et al.. (2025). Dysbiosis is associated with the behavioral phenotype observed in the triple-hit Wisket rat model of schizophrenia. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 137. 111276–111276. 1 indexed citations
2.
3.
Li, Qun, Yuichi Takeuchi, Jiale Wang, et al.. (2023). Reinstating olfactory bulb-derived limbic gamma oscillations alleviates depression-like behavioral deficits in rodents. Neuron. 111(13). 2065–2075.e5. 22 indexed citations
4.
Kékesi, Gabriella, et al.. (2023). PERSONALIZED BEHAVIORAL ANALYSIS OF RODENTS IN HOME-CAGE CONDITION. IBRO Neuroscience Reports. 15. S579–S579. 1 indexed citations
5.
Kékesi, Gabriella, et al.. (2023). Neurobehavioral impairments in ciprofloxacin-treated osteoarthritic adult rats. Ideggyógyászati Szemle. 76(9-10). 327–337.
6.
Bodosi, Balázs, et al.. (2022). Sleep-Wake Rhythm and Oscillatory Pattern Analysis in a Multiple Hit Schizophrenia Rat Model (Wisket). Frontiers in Behavioral Neuroscience. 15. 799271–799271. 5 indexed citations
7.
Bohár, Zsuzsanna, et al.. (2021). Wisket rat model of schizophrenia: Impaired motivation and, altered brain structure, but no anhedonia. Physiology & Behavior. 244. 113651–113651. 6 indexed citations
8.
Horváth, Gyöngyi, et al.. (2021). Interaction of clozapine with metformin in a schizophrenia rat model. Scientific Reports. 11(1). 16862–16862. 7 indexed citations
9.
Péczely, László, Gabriella Kékesi, Tamás Ollmann, et al.. (2020). Effects of D2 dopamine receptor activation in the ventral pallidum on sensory gating and food-motivated learning in control and schizophrenia model (Wisket) rats. Behavioural Brain Research. 400. 113047–113047. 1 indexed citations
10.
Szűcs, Edina, János Marton, Zoltán Szabó, et al.. (2020). Synthesis, biochemical, pharmacological characterization and in silico profile modelling of highly potent opioid orvinol and thevinol derivatives. European Journal of Medicinal Chemistry. 191. 112145–112145. 9 indexed citations
11.
12.
Kékesi, Gabriella, et al.. (2019). Automating, Analyzing and Improving Pupillometry with Machine Learning Algorithms. Acta Cybernetica. 24(2). 197–209. 1 indexed citations
13.
Horváth, Gyöngyi, Gabriella Kékesi, Ferenc Somogyvári, et al.. (2019). Distinct changes in chronic pain sensitivity and oxytocin receptor expression in a new rat model (Wisket) of schizophrenia. Neuroscience Letters. 714. 134561–134561. 15 indexed citations
14.
Kékesi, Gabriella, et al.. (2018). Impaired pupillary control in “schizophrenia-like” WISKET rats. Autonomic Neuroscience. 213. 34–42. 10 indexed citations
15.
Kékesi, Gabriella, et al.. (2017). Image Processing-based Automatic Pupillometry on Infrared Videos. Acta Cybernetica. 23(2). 599–613. 1 indexed citations
16.
Szűcs, Edina, et al.. (2016). Mu-Opioid (MOP) receptor mediated G-protein signaling is impaired in specific brain regions in a rat model of schizophrenia. Neuroscience Letters. 619. 29–33. 25 indexed citations
17.
Tuboly, Gábor, Zsuzsanna Bohár, Gabriella Kékesi, et al.. (2015). The inimitable kynurenic acid: The roles of different ionotropic receptors in the action of kynurenic acid at a spinal level. Brain Research Bulletin. 112. 52–60. 28 indexed citations
18.
Kékesi, Gabriella, et al.. (2015). Sex-specific alterations in behavioral and cognitive functions in a “three hit” animal model of schizophrenia. Behavioural Brain Research. 284. 85–93. 30 indexed citations
19.
Kékesi, Gabriella, et al.. (2007). QUANTITATIVE CHARACTERIZATION OF A REPEATED ACUTE JOINT INFLAMMATION MODEL IN RATS. Clinical and Experimental Pharmacology and Physiology. 34(5-6). 520–526. 14 indexed citations
20.
Kékesi, Gabriella, et al.. (2003). The Significance of Intrathecal Catheter Location in Rats. Anesthesia & Analgesia. 96(2). 487–492. 20 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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