Gábor Nyíri

2.8k citations
37 papers · 2.2k indexed · h-index 22
Topics
Neuroscience and Neuropharmacology Research (31 papers)Memory and Neural Mechanisms (12 papers)Neuroinflammation and Neurodegeneration Mechanisms (9 papers)

In The Last Decade

Gábor Nyíri

36 papers receiving 2.1k citations

Peers

Gábor Nyíri
Comparison fields: 5 of 87
  • Cellular and Molecular Neuroscience 1.7k
  • Cognitive Neuroscience 944
  • Molecular Biology 647
  • Pharmacology 446
  • Neurology 246
Replace Gregory C. Carlson with:
Gregory C. Carlson United States
Billy Chieng Australia
Niels Plath Denmark
Alexey Ponomarenko Germany
Stephen M. Fitzjohn United Kingdom
Constantinos D. Paspalas United States
Jason P. Schroeder United States
Yolanda Mateo United States
Mathieu Lafourcade France
Christophe D. Proulx Canada
Gábor Nyíri relative to Gregory C. Carlson United States Gregory C. Carlson's profile →
Citations per field
00.5×1.6×
Gregory C. Carlson · 1×
Citations per year

Countries citing papers authored by Gábor Nyíri

Since Specialization
Citations

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

Fields of papers citing papers by Gábor Nyíri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gábor Nyíri

This figure shows the co-authorship network connecting the top 25 collaborators of Gábor Nyíri. A scholar is included among the top collaborators of Gábor Nyíri 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 Gábor Nyíri. Gábor Nyíri 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
#WorkIndexed citations
1 2
2 7
3 0
4 21
5 66
6 55
7 56
8 59
9 25
10 65
11 21
12 86
13 207
14 47
15 68
16 46
17 125
18 272
19 170
20 148

About Gábor Nyíri

Gábor Nyíri is a scholar working on Cellular and Molecular Neuroscience, Neurology and Cognitive Neuroscience, having authored 37 papers that have together received 2.2k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (31 papers), Memory and Neural Mechanisms (12 papers) and Neuroinflammation and Neurodegeneration Mechanisms (9 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.7k citations), Biological Psychiatry (126 citations) and Cognitive Neuroscience (944 citations). Gábor Nyíri has collaborated with scholars based in Hungary, Japan and United States. Frequent co-authors include Tamás F. Freund, Péter Somogyi, Csaba Cserép, Ken Mackie, András Szőnyi, Eszter Szabadits, István Katona, Virág T. Takács, Norbert Hájos and Catherine Ledent. Their work appears in journals such as Science, Nature Communications and Journal of 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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