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 799
  • Neurology 148
  • Developmental Neuroscience 65
  • Behavioral Neuroscience 32
Replace Jorge R. Brotons‐Mas with:
Jorge R. Brotons‐Mas Spain
Zsuzsa Emri Hungary
Afia B. Ali United Kingdom
Tamar Dugladze Germany
Szabolcs Oláh Hungary
Clarke R. Raymond Australia
Jérôme Epsztein France
David Fernández de Sevilla Spain
Anne Kemp Germany
János Szabadics Hungary
Bálint Lasztóczi relative to Jorge R. Brotons‐Mas Spain Jorge R. Brotons‐Mas's profile →
Citations per field
00.5×1.6×
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 2012198
2 2014128
3 2013116
4 2000114
5 2009106
6 201388
7 201373
8 201665
9 201164
10 200949
11 200437
12 201331
13 201827
14 202221
15 201721
16 200317
17 200812
18 200311
19 200210
20 20199

About Bálint Lasztóczi

Bálint Lasztóczi is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Molecular Biology, Psychiatry and Mental health and Neurology, 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), Epilepsy research and treatment (3 papers), Photoreceptor and optogenetics research (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and Neuroscience and Neural Engineering (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (1.0k citations), Cognitive Neuroscience (799 citations), Neurology (148 citations), Developmental Neuroscience (65 citations) and Behavioral Neuroscience (32 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, Gabriella Nyitrai, László Héja and Michael Lagler. Their work appears in journals such as Journal of Neuroscience, Journal of Neurophysiology, Nature Neuroscience, Neuron and Neuroreport.

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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