Gergely Szalay

2.2k total citations · 1 hit paper
18 papers, 1.3k citations indexed

About

Gergely Szalay is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Biophysics. According to data from OpenAlex, Gergely Szalay has authored 18 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cellular and Molecular Neuroscience, 10 papers in Cognitive Neuroscience and 5 papers in Biophysics. Recurrent topics in Gergely Szalay's work include Neural dynamics and brain function (10 papers), Neuroscience and Neuropharmacology Research (9 papers) and Photoreceptor and optogenetics research (8 papers). Gergely Szalay is often cited by papers focused on Neural dynamics and brain function (10 papers), Neuroscience and Neuropharmacology Research (9 papers) and Photoreceptor and optogenetics research (8 papers). Gergely Szalay collaborates with scholars based in Hungary, Switzerland and United States. Gergely Szalay's co-authors include Balázs Rózsa, Gergely Katona, Attila Kaszás, Linda Judák, Balázs Chiovini, Botond Roska, Brian L. West, Pál Maák, Rebeka Fekete and Zsuzsanna Környei and has published in prestigious journals such as Science, Nature Communications and Neuron.

In The Last Decade

Gergely Szalay

17 papers receiving 1.3k citations

Hit Papers

Microglia protect against brain injury and their selectiv... 2016 2026 2019 2022 2016 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gergely Szalay Hungary 12 604 438 432 264 233 18 1.3k
Gergely Katona Hungary 18 1.3k 2.1× 476 1.1× 703 1.6× 397 1.5× 549 2.4× 36 2.2k
Jeffrey LeDue Canada 22 906 1.5× 480 1.1× 788 1.8× 65 0.2× 291 1.2× 45 1.9k
Ricardo Mostany United States 24 1.1k 1.7× 468 1.1× 612 1.4× 277 1.0× 596 2.6× 56 2.4k
Elena Avignone France 18 868 1.4× 823 1.9× 254 0.6× 96 0.4× 591 2.5× 25 1.9k
Michael N. Economo United States 18 750 1.2× 252 0.6× 727 1.7× 338 1.3× 299 1.3× 28 1.6k
Maja Djurišić United States 15 573 0.9× 267 0.6× 196 0.5× 79 0.3× 298 1.3× 24 1.1k
Tycho M. Hoogland Netherlands 18 819 1.4× 452 1.0× 486 1.1× 212 0.8× 376 1.6× 29 1.4k
Tonghui Xu China 21 986 1.6× 361 0.8× 763 1.8× 466 1.8× 604 2.6× 41 2.5k
Mark T. Harnett United States 13 1.4k 2.3× 159 0.4× 1.0k 2.3× 170 0.6× 598 2.6× 16 2.0k
Tara Keck United Kingdom 16 1.5k 2.4× 347 0.8× 1.2k 2.7× 349 1.3× 589 2.5× 20 2.5k

Countries citing papers authored by Gergely Szalay

Since Specialization
Citations

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

Fields of papers citing papers by Gergely Szalay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gergely Szalay

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

All Works

18 of 18 papers shown
1.
Máthé, Domokos, Gergely Szalay, Levente Cseri, et al.. (2024). Monitoring correlates of SARS-CoV-2 infection in cell culture using a two-photon-active calcium-sensitive dye. Cellular & Molecular Biology Letters. 29(1). 105–105. 1 indexed citations
2.
Chiovini, Balázs, Gergely Szalay, Ervin Kovács, et al.. (2024). Seeing and Cleaving: Turn-Off Fluorophore Uncaging and Its Application in Hydrogel Photopatterning and Traceable Neurotransmitter Photocages. ACS Applied Materials & Interfaces. 16(41). 55107–55117.
3.
Judák, Linda, Pál Maák, Balázs Chiovini, et al.. (2024). Moculus: an immersive virtual reality system for mice incorporating stereo vision. Nature Methods. 22(2). 386–398. 1 indexed citations
4.
Pi, Hyun-Jae, Quentin Chevy, Dinu F. Albeanu, et al.. (2022). Cortex-wide response mode of VIP-expressing inhibitory neurons by reward and punishment. eLife. 11. 24 indexed citations
5.
Judák, Linda, Balázs Chiovini, Gábor Juhász, et al.. (2022). Sharp-wave ripple doublets induce complex dendritic spikes in parvalbumin interneurons in vivo. Nature Communications. 13(1). 6715–6715. 10 indexed citations
6.
Chiovini, Balázs, Gábor Juhász, Gergely Szalay, et al.. (2021). Theoretical Design, Synthesis, and In Vitro Neurobiological Applications of a Highly Efficient Two-Photon Caged GABA Validated on an Epileptic Case. ACS Omega. 6(23). 15029–15045. 15 indexed citations
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.
Chiovini, Balázs, Gergely Szalay, Attila Kaszás, et al.. (2018). High efficiency two-photon uncaging coupled by the correction of spontaneous hydrolysis. Organic & Biomolecular Chemistry. 16(11). 1958–1970. 11 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.
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.
Szalay, Gergely, Bernadett Martinecz, Nikolett Lénárt, et al.. (2016). Microglia protect against brain injury and their selective elimination dysregulates neuronal network activity after stroke. Nature Communications. 7(1). 11499–11499. 462 indexed citations breakdown →
12.
Szalay, Gergely, Linda Judák, Gergely Katona, et al.. (2016). Fast 3D Imaging of Spine, Dendritic, and Neuronal Assemblies in Behaving Animals. Neuron. 92(4). 723–738. 66 indexed citations
13.
Wertz, Adrian, Stuart Trenholm, Keisuke Yonehara, et al.. (2015). Single-cell–initiated monosynaptic tracing reveals layer-specific cortical network modules. Science. 349(6243). 70–74. 146 indexed citations
14.
Szalay, Gergely, Linda Judák, Balázs Chiovini, et al.. (2015). Háromdimenziós, gyors, kétfoton-pásztázó eljárások sejt- és hálózatszintű idegsejtvizsgálatokhoz. Orvosi Hetilap. 156(52). 2120–2126. 2 indexed citations
15.
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
16.
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
17.
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
18.
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

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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