László Négyessy

59 total papers · 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 Tamás Nepusz, Fülöp Bazsó, Andrea Petróczi, Patricia S. Goldman‐Rakic, Caroline Fonta, Robert Levenson, Ridwan Lin, Nadine Kabbani, J. Hámori and Anna Wang Roe 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

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
László Négyessy 548 516 455 239 137 46 1.4k
Dawei Dong 211 0.4× 713 1.4× 607 1.3× 45 0.2× 73 0.5× 55 1.7k
Padraig Gleeson 605 1.1× 518 1.0× 784 1.7× 45 0.2× 41 0.3× 45 1.7k
Attila Szücs 487 0.9× 318 0.6× 602 1.3× 247 1.0× 43 0.3× 54 1.3k
Christoph Kirst 312 0.6× 584 1.1× 325 0.7× 92 0.4× 116 0.8× 23 1.5k
Yo Horikawa 345 0.6× 258 0.5× 191 0.4× 282 1.2× 28 0.2× 93 1.5k
Fidel Santamarı́a 701 1.3× 546 1.1× 368 0.8× 198 0.8× 108 0.8× 39 1.5k
Mathilde Badoual 315 0.6× 296 0.6× 362 0.8× 165 0.7× 200 1.5× 40 1.4k
Carina Soares‐Cunha 773 1.4× 620 1.2× 430 0.9× 76 0.3× 130 0.9× 46 1.6k
Jesús M. Cortés 221 0.4× 442 0.9× 784 1.7× 182 0.8× 32 0.2× 105 1.6k
Élodie Fino 1.4k 2.5× 374 0.7× 1.0k 2.2× 39 0.2× 33 0.2× 31 1.8k

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

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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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