Bálint Lasztóczi

1.7k citations
25 papers · 1.2k · h-index 16

Impact in

Papers in

Bálint Lasztóczi

25 papers receiving 1.2k citations

Peers

Bálint Lasztóczi
Comparison fields: 5 of 72
  • Cellular and Molecular Neuroscience 1.0k
  • Cognitive Neuroscience 810
  • Neurology 157
  • Developmental Neuroscience 71
  • Behavioral Neuroscience 34
Replace Jorge R. Brotons‐Mas with:
Jorge R. Brotons‐Mas Spain
Zsuzsa Emri Hungary
Jérôme Epsztein France
Clarke R. Raymond Australia
David Fernández de Sevilla Spain
Afia B. Ali United Kingdom
Anne Kemp Germany
Tamar Dugladze Germany
János Szabadics Hungary
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Citations per field
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Jorge R. Brotons‐Mas · 1×
Citations per year

Countries citing papers authored by Bálint Lasztóczi

Since Specialization
Citations

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

Fields of papers citing papers by Bálint Lasztóczi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Bálint Lasztóczi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Bálint Lasztóczi Line = papers co-authored together Bálint Lasztóczi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012194
2 2014125
3 2013115
4 2000114
5 2009106
6 201387
7 201372
8 201665
9 201163
10 200949
11 200437
12 201331
13 201827
14 201721
15 202220
16 200319
17 200812
18 200311
19 200210
20 20068

About Bálint Lasztóczi

Bálint Lasztóczi is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Molecular Biology, Neurology and Psychiatry and Mental health, having authored 25 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (22 papers), Neural dynamics and brain function (14 papers), Memory and Neural Mechanisms (12 papers), Ion channel regulation and function (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Epilepsy research and treatment (3 papers), Neurogenesis and neuroplasticity mechanisms (2 papers) and Photoreceptor and optogenetics research (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.0k citations), Cognitive Neuroscience (810 citations), Neurology (157 citations), Developmental Neuroscience (71 citations) and Behavioral Neuroscience (34 citations). Bálint Lasztóczi has collaborated with scholars based in Austria, Hungary and United Kingdom. Frequent co-authors include Thomas Klausberger, Péter Somogyi, Linda Katona, Tim J. Viney, Julianna Kardos, John J. Tukker, Ornella Valenti, László Héja, Gabriella Nyitrai and Michael Lagler. Their work appears in journals such as Journal of Neurophysiology, Journal of Neuroscience, Nature Neuroscience, Neuron and Neuroscience.

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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