Balázs Lendvai

2.9k total citations · 1 hit paper
72 papers, 2.2k citations indexed

About

Balázs Lendvai is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Balázs Lendvai has authored 72 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Cellular and Molecular Neuroscience, 32 papers in Molecular Biology and 21 papers in Cognitive Neuroscience. Recurrent topics in Balázs Lendvai's work include Neuroscience and Neuropharmacology Research (28 papers), Receptor Mechanisms and Signaling (21 papers) and Neural dynamics and brain function (14 papers). Balázs Lendvai is often cited by papers focused on Neuroscience and Neuropharmacology Research (28 papers), Receptor Mechanisms and Signaling (21 papers) and Neural dynamics and brain function (14 papers). Balázs Lendvai collaborates with scholars based in Hungary, United States and Czechia. Balázs Lendvai's co-authors include E. Sylvester Vizi, Karel Svoboda, Edward A. Stern, Brian Chen, Tibor Zelles, J. Kiss, Balázs Rózsa, Zsolt Némethy, György B. Halmos and Viktor Román and has published in prestigious journals such as Nature, Journal of Neuroscience and Physiological Reviews.

In The Last Decade

Balázs Lendvai

70 papers receiving 2.2k citations

Hit Papers

Experience-dependent plasticity of dendritic spines in th... 2000 2026 2008 2017 2000 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Balázs Lendvai Hungary 22 1.3k 1.0k 543 235 215 72 2.2k
Yury Kovalchuk Germany 19 2.2k 1.6× 1.0k 1.0× 874 1.6× 365 1.6× 140 0.7× 26 2.8k
Joseph Cichon United States 12 1.3k 1.0× 586 0.6× 904 1.7× 205 0.9× 76 0.4× 16 2.3k
Alex C. Kwan United States 24 1.9k 1.4× 515 0.5× 1.3k 2.5× 138 0.6× 116 0.5× 62 3.1k
Pierre Vincent France 24 1.3k 1.0× 1.6k 1.6× 378 0.7× 206 0.9× 88 0.4× 51 2.5k
Sukumar Vijayaraghavan United States 23 1.1k 0.9× 1.7k 1.6× 177 0.3× 165 0.7× 238 1.1× 36 2.3k
Raffaella Tonini Italy 26 966 0.7× 1.1k 1.1× 572 1.1× 161 0.7× 138 0.6× 48 2.5k
Stefan Remy Germany 25 1.9k 1.4× 766 0.7× 1.1k 2.0× 264 1.1× 67 0.3× 38 2.8k
Pascal Bonaventure United States 39 1.5k 1.1× 1.2k 1.2× 1.2k 2.2× 124 0.5× 170 0.8× 114 4.6k
Tommaso Patriarchi United States 27 1.7k 1.3× 1.4k 1.4× 736 1.4× 185 0.8× 52 0.2× 48 2.8k
Yajun Zhang United States 17 1.4k 1.0× 1.0k 1.0× 406 0.7× 255 1.1× 46 0.2× 34 2.4k

Countries citing papers authored by Balázs Lendvai

Since Specialization
Citations

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

Fields of papers citing papers by Balázs Lendvai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Balázs Lendvai

This figure shows the co-authorship network connecting the top 25 collaborators of Balázs Lendvai. A scholar is included among the top collaborators of Balázs Lendvai 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 Balázs Lendvai. Balázs Lendvai 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
2.
Varga, Anita, et al.. (2024). Tetrabenazine, a vesicular monoamine transporter 2 inhibitor, inhibits vesicular storage capacity and release of monoamine transmitters in mouse brain tissue. British Journal of Pharmacology. 181(24). 5094–5109. 2 indexed citations
3.
Gölöncsér, Flóra, et al.. (2022). Maternal P2X7 receptor inhibition prevents autism-like phenotype in male mouse offspring through the NLRP3-IL-1β pathway. Brain Behavior and Immunity. 101. 318–332. 25 indexed citations
4.
Román, Viktor, et al.. (2021). Cariprazine alleviates core behavioral deficits in the prenatal valproic acid exposure model of autism spectrum disorder. Psychopharmacology. 238(9). 2381–2392. 18 indexed citations
5.
Lendvai, Balázs, et al.. (2020). Dissociating cholinergic influence on alertness and temporal attention in primates in a simple reaction time paradigm. European Journal of Neuroscience. 52(7). 3776–3789. 4 indexed citations
6.
Lendvai, Balázs, et al.. (2020). Delay-dependent cholinergic modulation of visual short-term memory in rhesus macaques. Behavioural Brain Research. 396. 112897–112897. 3 indexed citations
7.
Meier, Maria, et al.. (2019). The novel antipsychotic cariprazine stabilizes gamma oscillations in rat hippocampal slices. British Journal of Pharmacology. 177(7). 1622–1634. 20 indexed citations
8.
Pietraszek, M., et al.. (2012). Effect of 5-HT5A antagonists in animal models of schizophrenia, anxiety and depression. Behavioural Pharmacology. 23(4). 397–406. 21 indexed citations
9.
Lendvai, Balázs, et al.. (2012). α7 Nicotinic acetylcholine receptors and their role in cognition. Brain Research Bulletin. 93. 86–96. 74 indexed citations
10.
Vizi, E. Sylvester, István Gacsályi, Balázs Volk, et al.. (2008). 5-HT6/7 Receptor Antagonists Facilitate Dopamine Release in the Cochlea via a GABAergic Disinhibitory Mechanism. Neurochemical Research. 33(11). 2364–2372. 16 indexed citations
11.
Halmos, György B., Tamás Horváth, Andrea Fekete, et al.. (2008). The role of N-methyl-d-aspartate receptors and nitric oxide in cochlear dopamine release. Neuroscience. 154(2). 796–803. 12 indexed citations
12.
Barth, Albert M, E. S. Vizi, & Balázs Lendvai. (2007). Noradrenergic enhancement of Ca2+ responses of basal dendrites in layer 5 pyramidal neurons of the prefrontal cortex. Neurochemistry International. 51(5). 323–327. 15 indexed citations
13.
Lendvai, Balázs, et al.. (2006). Application of two-photon microscopy to the study of cellular pharmacology of central neurons. Advanced Drug Delivery Reviews. 58(7). 841–849. 9 indexed citations
14.
Halmos, György B., Gábor Répássy, Ágnes Kittel, et al.. (2005). D2 autoreceptor inhibition reveals oxygen-glucose deprivation-induced release of dopamine in guinea-pig cochlea. Neuroscience. 132(3). 801–809. 18 indexed citations
15.
Halmos, György B., et al.. (2005). Cochlear dopamine release is modulated by group II metabotropic glutamate receptors via GABAergic neurotransmission. Neuroscience Letters. 385(2). 93–98. 21 indexed citations
16.
Halmos, György B., et al.. (2002). Simultaneous measurement of glutamate and dopamine release from isolated guinea pig cochlea. Neurochemistry International. 40(3). 243–248. 9 indexed citations
17.
Lendvai, Balázs, et al.. (2001). Low temperature prevents potentiation of norepinephrine release by phenylephrine. Neurochemistry International. 38(3). 237–242. 7 indexed citations
18.
Lendvai, Balázs, et al.. (2001). Platelet-Activating Factor Evokes Ca2+ Transients After the Blockade of Ryanodine Receptor by Dantrolene in RAW 264.7 Macrophages. Neurochemical Research. 26(8-9). 1007–1013. 5 indexed citations
19.
Halmos, György B., et al.. (2000). Veratridine-evoked release of dopamine from guinea pig isolated cochlea. Hearing Research. 144(1-2). 89–96. 12 indexed citations
20.

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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