János Fuzik

1.7k total citations
19 papers, 1.1k citations indexed

About

János Fuzik is a scholar working on Cellular and Molecular Neuroscience, Neurology and Cognitive Neuroscience. According to data from OpenAlex, János Fuzik has authored 19 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cellular and Molecular Neuroscience, 7 papers in Neurology and 6 papers in Cognitive Neuroscience. Recurrent topics in János Fuzik's work include Neuroscience and Neuropharmacology Research (12 papers), Neuroinflammation and Neurodegeneration Mechanisms (7 papers) and Neural dynamics and brain function (5 papers). János Fuzik is often cited by papers focused on Neuroscience and Neuropharmacology Research (12 papers), Neuroinflammation and Neurodegeneration Mechanisms (7 papers) and Neural dynamics and brain function (5 papers). János Fuzik collaborates with scholars based in Sweden, Hungary and Austria. János Fuzik's co-authors include Daniela Calvigioni, Tibor Harkany, Yuchio Yanagawa, Zoltán Máté, Gábor Szabó, Amit Zeisel, Sten Linnarsson, Konstantinos Meletis, Erik Keimpema and Antje Märtin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.

In The Last Decade

János Fuzik

19 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
János Fuzik Sweden 15 457 366 300 192 145 19 1.1k
Daniela Calvigioni Sweden 16 413 0.9× 370 1.0× 236 0.8× 411 2.1× 109 0.8× 24 1.1k
Christine S. Cheah United States 10 801 1.8× 639 1.7× 326 1.1× 93 0.5× 77 0.5× 12 1.4k
Li‐Jen Lee Taiwan 20 514 1.1× 422 1.2× 328 1.1× 59 0.3× 127 0.9× 52 1.2k
Massimo Trusel Italy 18 595 1.3× 269 0.7× 288 1.0× 212 1.1× 76 0.5× 24 1.1k
Clémentine Bosch‐Bouju France 15 766 1.7× 410 1.1× 300 1.0× 78 0.4× 166 1.1× 26 1.4k
Pedro Barroso‐Chinea Spain 23 1.1k 2.5× 399 1.1× 328 1.1× 303 1.6× 134 0.9× 48 1.7k
Sameer C. Dhamne United States 20 559 1.2× 421 1.2× 276 0.9× 54 0.3× 373 2.6× 30 1.4k
Beatriz M. Longo Brazil 20 757 1.7× 393 1.1× 212 0.7× 67 0.3× 157 1.1× 65 1.4k
Yoshinori N. Ohnishi Japan 12 547 1.2× 577 1.6× 179 0.6× 79 0.4× 94 0.6× 17 1.2k
Emma Puighermanal France 16 850 1.9× 380 1.0× 390 1.3× 750 3.9× 150 1.0× 27 1.5k

Countries citing papers authored by János Fuzik

Since Specialization
Citations

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

Fields of papers citing papers by János Fuzik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of János Fuzik

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

All Works

19 of 19 papers shown
1.
Calvigioni, Daniela, et al.. (2024). All-optical voltage imaging-guided postsynaptic single-cell transcriptome profiling with Voltage-Seq. Nature Protocols. 19(10). 2863–2890. 1 indexed citations
2.
Calvigioni, Daniela, János Fuzik, Pierre Le Merre, et al.. (2023). Esr1+ hypothalamic-habenula neurons shape aversive states. Nature Neuroscience. 26(7). 1245–1255. 20 indexed citations
3.
Reinius, Björn, et al.. (2023). Voltage-Seq: all-optical postsynaptic connectome-guided single-cell transcriptomics. Nature Methods. 20(9). 1409–1416. 8 indexed citations
4.
Guyon, Nicolas, Josina Anna van Lunteren, János Fuzik, et al.. (2021). Adult trkB Signaling in Parvalbumin Interneurons is Essential to Prefrontal Network Dynamics. Journal of Neuroscience. 41(14). 3120–3141. 18 indexed citations
5.
Fuzik, János, Fatima Girach, Ádám Miklósi, et al.. (2019). Brain-wide genetic mapping identifies the indusium griseum as a prenatal target of pharmacologically unrelated psychostimulants. Proceedings of the National Academy of Sciences. 116(51). 25958–25967. 14 indexed citations
6.
Lazaridis, Iakovos, Ourania Tzortzi, Antje Märtin, et al.. (2019). A hypothalamus-habenula circuit controls aversion. Molecular Psychiatry. 24(9). 1351–1368. 107 indexed citations
7.
Märtin, Antje, et al.. (2019). A Spatiomolecular Map of the Striatum. Cell Reports. 29(13). 4320–4333.e5. 76 indexed citations
8.
Schuman, Benjamin, Robert Machold, Yoshiko Hashikawa, et al.. (2018). Four Unique Interneuron Populations Reside in Neocortical Layer 1. Journal of Neuroscience. 39(1). 125–139. 106 indexed citations
9.
Calvigioni, Daniela, Zoltán Máté, János Fuzik, et al.. (2016). Functional Differentiation of Cholecystokinin-Containing Interneurons Destined for the Cerebral Cortex. Cerebral Cortex. 27(4). bhw094–bhw094. 15 indexed citations
10.
Fuzik, János, Roman A. Romanov, John Larson, et al.. (2015). Protracted brain development in a rodent model of extreme longevity. Scientific Reports. 5(1). 11592–11592. 45 indexed citations
11.
Fuzik, János, Amit Zeisel, Zoltán Máté, et al.. (2015). Integration of electrophysiological recordings with single-cell RNA-seq data identifies neuronal subtypes. Nature Biotechnology. 34(2). 175–183. 261 indexed citations
12.
Tortoriello, Giuseppe, Caroline Morris, Alán Alpár, et al.. (2014). Miswiring the brain:  9-tetrahydrocannabinol disrupts cortical development by inducing an SCG10/stathmin-2 degradation pathway. The EMBO Journal. 33(7). 668–685. 174 indexed citations
13.
Pávó, Noémi, Matthias Zimmermann, Dietmar Pils, et al.. (2014). Long-acting beneficial effect of percutaneously intramyocardially delivered secretome of apoptotic peripheral blood cells on porcine chronic ischemic left ventricular dysfunction. Biomaterials. 35(11). 3541–3550. 35 indexed citations
14.
Alpár, Alán, Giuseppe Tortoriello, Daniela Calvigioni, et al.. (2014). Endocannabinoids modulate cortical development by configuring Slit2/Robo1 signalling. Nature Communications. 5(1). 4421–4421. 56 indexed citations
15.
Gellért, Levente, Gáspár Oláh, János Fuzik, et al.. (2013). A simple novel technique to induce short‐lasting local brain ischaemia in the rat. Neuropathology and Applied Neurobiology. 40(5). 603–609. 4 indexed citations
16.
Fuzik, János, Levente Gellért, Gáspár Oláh, et al.. (2012). Fundamental interstrain differences in cortical activity between Wistar and Sprague–Dawley rats during global ischemia. Neuroscience. 228. 371–381. 13 indexed citations
17.
Nagy, Dávid, János Fuzik, Máté Marosi, et al.. (2011). Kainate postconditioning restores LTP in ischemic hippocampal CA1: Onset-dependent second pathophysiological stress. Neuropharmacology. 61(5-6). 1026–1032. 23 indexed citations
18.
Gellért, Levente, János Fuzik, Máté Marosi, et al.. (2011). Neuroprotection with a new kynurenic acid analog in the four-vessel occlusion model of ischemia. European Journal of Pharmacology. 667(1-3). 182–187. 51 indexed citations
19.
Marosi, Máté, János Fuzik, Dávid Nagy, et al.. (2008). Oxaloacetate restores the long-term potentiation impaired in rat hippocampus CA1 region by 2-vessel occlusion. European Journal of Pharmacology. 604(1-3). 51–57. 32 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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