Attila Kaszás

1.7k total citations
31 papers, 1.1k citations indexed

About

Attila Kaszás is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Biomedical Engineering. According to data from OpenAlex, Attila Kaszás has authored 31 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Cellular and Molecular Neuroscience, 9 papers in Cognitive Neuroscience and 7 papers in Biomedical Engineering. Recurrent topics in Attila Kaszás's work include Neuroscience and Neural Engineering (16 papers), Neuroscience and Neuropharmacology Research (10 papers) and Neural dynamics and brain function (8 papers). Attila Kaszás is often cited by papers focused on Neuroscience and Neural Engineering (16 papers), Neuroscience and Neuropharmacology Research (10 papers) and Neural dynamics and brain function (8 papers). Attila Kaszás collaborates with scholars based in Hungary, France and United States. Attila Kaszás's co-authors include Balázs Rózsa, Gergely Katona, Gergely Szalay, E. Sylvester Vizi, Adam Williamson, Balázs Chiovini, George G. Malliaras, Pál Maák, Christophe Bernard and Andrea Slézia and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Advanced Materials and Nature Communications.

In The Last Decade

Attila Kaszás

28 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Attila Kaszás Hungary 16 680 402 286 225 190 31 1.1k
Ramin Pashaie United States 14 1.1k 1.6× 509 1.3× 506 1.8× 77 0.3× 357 1.9× 41 1.5k
Axel Blau Italy 18 903 1.3× 433 1.1× 478 1.7× 45 0.2× 388 2.0× 39 1.2k
Gergely Katona Hungary 18 1.3k 1.8× 703 1.7× 262 0.9× 397 1.8× 198 1.0× 36 2.2k
Kaiyu Zheng United Kingdom 18 787 1.2× 281 0.7× 173 0.6× 184 0.8× 89 0.5× 37 1.4k
Daniel R. Hochbaum United States 11 842 1.2× 397 1.0× 127 0.4× 186 0.8× 77 0.4× 17 1.6k
Aviad Hai United States 12 1.2k 1.8× 373 0.9× 537 1.9× 45 0.2× 549 2.9× 21 1.6k
Torsten Bullmann Germany 13 635 0.9× 294 0.7× 143 0.5× 35 0.2× 166 0.9× 21 1.0k
Günther Zeck Germany 26 1.3k 2.0× 581 1.4× 299 1.0× 49 0.2× 482 2.5× 68 1.8k
Dries Braeken Belgium 22 902 1.3× 219 0.5× 564 2.0× 41 0.2× 308 1.6× 71 1.9k
Darren J. Michael United States 11 421 0.6× 92 0.2× 135 0.5× 97 0.4× 339 1.8× 12 1.1k

Countries citing papers authored by Attila Kaszás

Since Specialization
Citations

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

Fields of papers citing papers by Attila Kaszás

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Attila Kaszás

This figure shows the co-authorship network connecting the top 25 collaborators of Attila Kaszás. A scholar is included among the top collaborators of Attila Kaszás 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 Attila Kaszás. Attila Kaszás 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.
Kaszás, Attila, et al.. (2025). Capturing the Electrical Activity of all Cortical Neurons: Are Solutions Within Reach?. Advanced Science. 12(32). e06225–e06225.
2.
Lefebvre, E., et al.. (2024). A Hollow-Core Fiber Based Stand-Alone Multimodal (2-Photon, 3-Photon, SHG, THG) Nonlinear Flexible Imaging Endoscope System. IEEE Journal of Selected Topics in Quantum Electronics. 30(6: Advances and Applications). 1–12. 1 indexed citations
3.
4.
Slézia, Andrea, Nicola Solari, Attila Kaszás, et al.. (2023). Behavioral, neural and ultrastructural alterations in a graded-dose 6-OHDA mouse model of early-stage Parkinson's disease. Scientific Reports. 13(1). 19478–19478. 18 indexed citations
5.
6.
Kaszás, Attila, Gerwin Dijk, Bastien Marchiori, et al.. (2022). Flexible Organic Electronic Devices for Pulsed Electric Field Therapy of Glioblastoma. Journal of Visualized Experiments.
7.
Kaszás, Attila, Gergely Szalay, Andrea Slézia, et al.. (2021). Two-photon GCaMP6f imaging of infrared neural stimulation evoked calcium signals in mouse cortical neurons in vivo. Scientific Reports. 11(1). 22 indexed citations
8.
Slézia, Andrea, Christopher M. Proctor, Attila Kaszás, George G. Malliaras, & Adam Williamson. (2019). Electrophoretic Delivery of γ-aminobutyric Acid (GABA) into Epileptic Focus Prevents Seizures in Mice. Journal of Visualized Experiments. 6 indexed citations
9.
Samigullin, Dmitry, Attila Kaszás, Anton Malkov, et al.. (2019). CLARITY analysis of the Cl/pH sensor expression in the brain of transgenic mice. Neuroscience. 439. 181–194. 6 indexed citations
10.
Deneux, Thomas, Attila Kaszás, Gergely Szalay, et al.. (2016). Accurate spike estimation from noisy calcium signals for ultrafast three-dimensional imaging of large neuronal populations in vivo. Nature Communications. 7(1). 12190–12190. 147 indexed citations
11.
Chiovini, Balázs, Gergely F. Turi, Gergely Katona, et al.. (2014). Dendritic Spikes Induce Ripples in Parvalbumin Interneurons during Hippocampal Sharp Waves. Neuron. 83(3). 749–749. 2 indexed citations
12.
Chiovini, Balázs, Gergely F. Turi, Gergely Katona, et al.. (2014). Dendritic Spikes Induce Ripples in Parvalbumin Interneurons during Hippocampal Sharp Waves. Neuron. 82(4). 908–924. 70 indexed citations
13.
Tóth, Kinga, Attila Kaszás, Balázs Chiovini, et al.. (2014). Combined two-photon imaging, electrophysiological, and anatomical investigation of the human neocortexin vitro. Neurophotonics. 1(1). 11013–11013. 12 indexed citations
14.
Katona, Gergely, Gergely Szalay, Pál Maák, et al.. (2012). Fast two-photon in vivo imaging with three-dimensional random-access scanning in large tissue volumes. Nature Methods. 9(2). 201–208. 270 indexed citations
15.
Katona, Gergely, Attila Kaszás, Gergely F. Turi, et al.. (2011). Roller Coaster Scanning reveals spontaneous triggering of dendritic spikes in CA1 interneurons. Proceedings of the National Academy of Sciences. 108(5). 2148–2153. 61 indexed citations
16.
Chiovini, Balázs, Gergely F. Turi, Gergely Katona, et al.. (2010). Enhanced Dendritic Action Potential Backpropagation in Parvalbumin-positive Basket Cells During Sharp Wave Activity. Neurochemical Research. 35(12). 2086–2095. 12 indexed citations
17.
Rózsa, Balázs, Gergely Katona, Attila Kaszás, R. Szipöcs, & E. Sylvester Vizi. (2008). Dendritic nicotinic receptors modulate backpropagating action potentials and long‐term plasticity of interneurons. European Journal of Neuroscience. 27(2). 364–377. 23 indexed citations
18.
Barabás, Klaudia, Éva M. Szegő, Attila Kaszás, et al.. (2006). Sex Differences in Oestrogen‐Induced p44/42 MAPK Phosphorylation in the Mouse Brain In Vivo. Journal of Neuroendocrinology. 18(8). 621–628. 20 indexed citations
19.
Erostyák, János, et al.. (1997). Enhanced Fluorimetric Determination of Samarium with Dibenzoylmethane and Diphenylguanidine by Gadolinium. Spectroscopy Letters. 30(7). 1475–1483. 3 indexed citations
20.
Erostyák, János, et al.. (1997). Time-resolved study of intramolecular energy transfer in Eu3+, Tb3+/β-diketone/o-phenanthroline complexes in aqueous micellar solutions. Journal of Luminescence. 72-74. 570–571. 25 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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