Csaba Varga

3.2k citations
30 papers · 2.1k · h-index 19

Impact in

Papers in

Csaba Varga

29 papers receiving 2.0k citations

Peers

Csaba Varga
Comparison fields: 5 of 91
  • Cellular and Molecular Neuroscience 1.7k
  • Cognitive Neuroscience 1.3k
  • Developmental Neuroscience 180
  • Neurology 237
  • Biological Psychiatry 36
Replace Peter V. Massey with:
Peter V. Massey United Kingdom
Elke C. Fuchs Germany
Lawrence M. Grover United States
János Szabadics Hungary
Sari E. Lauri Finland
Nonna A. Otmakhova United States
Frédéric Manseau Canada
Linus D. Sun United States
Bidisha Chattopadhyaya Canada
Olivier Caillard France
Csaba Varga relative to Peter V. Massey United Kingdom Peter V. Massey's profile →
Citations per field
00.5×4.3×
Peter V. Massey · 1×
Citations per year

Countries citing papers authored by Csaba Varga

Since Specialization
Citations

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

Fields of papers citing papers by Csaba Varga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Csaba Varga, 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 Csaba Varga Line = papers co-authored together Csaba Varga links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006440
2 2009286
3 2014237
4 2012182
5 2010173
6 2008131
7 201489
8 201159
9 201055
10 201147
11 200340
12 201737
13 201037
14 200430
15 200529
16 201528
17 200328
18 199925
19 202222
20 201815

About Csaba Varga

Csaba Varga is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Molecular Biology, Developmental Neuroscience and Surgery, having authored 30 papers that have together received 2.1k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (19 papers), Memory and Neural Mechanisms (13 papers), Neural dynamics and brain function (9 papers), Nicotinic Acetylcholine Receptors Study (3 papers), Sleep and Wakefulness Research (3 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Neuroscience and Neural Engineering (2 papers) and Alzheimer's disease research and treatments (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.7k citations), Cognitive Neuroscience (1.3k citations), Developmental Neuroscience (180 citations), Neurology (237 citations) and Biological Psychiatry (36 citations). Csaba Varga has collaborated with scholars based in Hungary, United States and Germany. Frequent co-authors include Iván Soltész, Gábor Tamás, Pál Barzó, Szabolcs Oláh, János Szabadics, Gábor Molnár, Peyman Golshani, Rita Báldi, Soo Yeun Lee and Gergely Komlósi. Their work appears in journals such as Journal of Neuroscience, Neuroreport, Neuron, Proceedings of the National Academy of Sciences and PLoS ONE.

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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