László Négyessy

1.9k total citations
46 papers, 1.4k citations indexed

About

László Négyessy is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, László Négyessy has authored 46 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Cognitive Neuroscience, 20 papers in Cellular and Molecular Neuroscience and 15 papers in Molecular Biology. Recurrent topics in László Négyessy's work include Neural dynamics and brain function (19 papers), Neuroscience and Neuropharmacology Research (11 papers) and Alkaline Phosphatase Research Studies (8 papers). László Négyessy is often cited by papers focused on Neural dynamics and brain function (19 papers), Neuroscience and Neuropharmacology Research (11 papers) and Alkaline Phosphatase Research Studies (8 papers). László Négyessy collaborates with scholars based in Hungary, United States and France. László Négyessy's co-authors include Fülöp Bazsó, Tamás Nepusz, Andrea Petróczi, Patricia S. Goldman‐Rakic, Caroline Fonta, Nadine Kabbani, Ridwan Lin, Robert Levenson, Anna Wang Roe and J. Hámori and has published in prestigious journals such as Journal of Biological Chemistry, Neuron and Journal of Neuroscience.

In The Last Decade

László Négyessy

46 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
László Négyessy Hungary 19 548 517 455 239 137 46 1.4k
Alexander Rauch Germany 25 527 1.0× 624 1.2× 905 2.0× 173 0.7× 34 0.2× 45 2.2k
Steven N. Roper United States 33 1.3k 2.4× 725 1.4× 1.1k 2.3× 89 0.4× 118 0.9× 88 3.1k
Cristina Marchetti Italy 23 745 1.4× 690 1.3× 419 0.9× 44 0.2× 164 1.2× 52 2.3k
Attila Szücs Hungary 21 488 0.9× 321 0.6× 605 1.3× 247 1.0× 43 0.3× 54 1.3k
Padraig Gleeson United Kingdom 17 608 1.1× 527 1.0× 792 1.7× 45 0.2× 41 0.3× 45 1.7k
Christoph Kirst United States 14 315 0.6× 589 1.1× 330 0.7× 93 0.4× 117 0.9× 23 1.5k
Jim Berg United States 13 500 0.9× 614 1.2× 274 0.6× 33 0.1× 78 0.6× 14 1.3k
Hiltrud Muhle Germany 26 559 1.0× 603 1.2× 810 1.8× 44 0.2× 43 0.3× 67 2.5k
Jesús M. Cortés Spain 24 223 0.4× 447 0.9× 793 1.7× 183 0.8× 32 0.2× 105 1.6k
C.W.M. van Veelen Netherlands 28 1.0k 1.9× 645 1.2× 1.0k 2.2× 49 0.2× 40 0.3× 58 3.0k

Countries citing papers authored by László Négyessy

Since Specialization
Citations

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

Fields of papers citing papers by László Négyessy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of László Négyessy

This figure shows the co-authorship network connecting the top 25 collaborators of László Négyessy. A scholar is included among the top collaborators of László Négyessy 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 László Négyessy. László Négyessy 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.
Zalányi, László, et al.. (2022). Modular Organization of Signal Transmission in Primate Somatosensory Cortex. Frontiers in Neuroanatomy. 16. 915238–915238. 1 indexed citations
2.
Somogyvári, Zoltán, et al.. (2021). Network Path Convergence Shapes Low-Level Processing in the Visual Cortex. Frontiers in Systems Neuroscience. 15. 645709–645709. 2 indexed citations
3.
Zalányi, László, et al.. (2020). Synaptic organization of cortico‐cortical communication in primates. European Journal of Neuroscience. 52(9). 4037–4056. 6 indexed citations
4.
Fekete, Z., et al.. (2016). Combined in vivo recording of neural signals and iontophoretic injection of pathway tracers using a hollow silicon microelectrode. Sensors and Actuators B Chemical. 236. 815–824. 10 indexed citations
5.
Fonta, Caroline, et al.. (2015). Rediscovering TNAP in the Brain: A Major Role in Regulating the Function and Development of the Cerebral Cortex. Sub-cellular biochemistry. 76. 85–106. 20 indexed citations
6.
Négyessy, László, et al.. (2015). Signal Transduction Pathways of TNAP: Molecular Network Analyses. Sub-cellular biochemistry. 76. 185–205. 1 indexed citations
7.
Kántor, Orsolya, Tamás Kovács‐Öller, Anna Énzsöly, et al.. (2014). TNAP activity is localized at critical sites of retinal neurotransmission across various vertebrate species. Cell and Tissue Research. 358(1). 85–98. 7 indexed citations
8.
Wang, Zheng, Li Min Chen, László Négyessy, et al.. (2013). The Relationship of Anatomical and Functional Connectivity to Resting-State Connectivity in Primate Somatosensory Cortex. Neuron. 78(6). 1116–1126. 158 indexed citations
9.
Fonta, Caroline, László Négyessy, Myriam Ermonval, et al.. (2012). TNAP In The Brain: Functions In Neurotransmission. Revistes Científiques de la University of Barcelona (University of Barcelona). 51(1). 27. 1 indexed citations
10.
Morawski, Markus, et al.. (2010). Distribution and classification of aggrecan‐based extracellular matrix in the thalamus of the rat. Journal of Neuroscience Research. 88(15). 3257–3266. 18 indexed citations
11.
Négyessy, László. (2009). Ultrastructural studies of the CNS of TNAP-knock out mice. Frontiers in Systems Neuroscience. 3. 1 indexed citations
12.
Nepusz, Tamás, et al.. (2009). Convergence properties of some random networks. 92. 241–245. 1 indexed citations
13.
Négyessy, László, Tamás Nepusz, László Zalányi, & Fülöp Bazsó. (2008). Convergence and divergence are mostly reciprocated properties of the connections in the network of cortical areas. Proceedings of the Royal Society B Biological Sciences. 275(1649). 2403–2410. 10 indexed citations
14.
Négyessy, László, et al.. (2008). Ultrastructural localization of calcyon in the primate cortico-basal ganglia-thalamocortical loop. Neuroscience Letters. 440(1). 59–62. 5 indexed citations
15.
Négyessy, László & P.S. Goldman-Rakic. (2005). Morphometric characterization of synapses in the primate prefrontal cortex formed by afferents from the mediodorsal thalamic nucleus. Experimental Brain Research. 164(2). 148–154. 25 indexed citations
16.
Négyessy, László & Patricia S. Goldman‐Rakic. (2005). Subcellular localization of the dopamine D2 receptor and coexistence with the calcium‐binding protein neuronal calcium sensor‐1 in the primate prefrontal cortex. The Journal of Comparative Neurology. 488(4). 464–475. 51 indexed citations
17.
Kocsis, Levente, et al.. (2004). Visuo-tactile cortical network defined on graph-theoretical ground. Perception. 33. 0–0. 1 indexed citations
18.
Négyessy, László, et al.. (2002). Reinnervation of a single vibrissa after nerve excision in the adult rat. Neuroreport. 13(14). 1743–1746. 7 indexed citations
19.
Négyessy, László, J. Hámori, & Marina Bentivoglio. (1998). Contralateral cortical projection to the mediodorsal thalamic nucleus: origin and synaptic organization in the rat. Neuroscience. 84(3). 741–753. 26 indexed citations
20.
Négyessy, László, J. Takács, Jesper Mogensen, Ivan Divac, & J. Hámori. (1995). Synaptic reorganisation of the mediodorsal thalamic nucleus in adult rat following chronic prefrontal cortical lesions.. PubMed. 36(3). 433–41. 2 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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