Gábor Varga

6.8k total citations
261 papers, 4.8k citations indexed

About

Gábor Varga is a scholar working on Surgery, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Gábor Varga has authored 261 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 95 papers in Surgery, 62 papers in Molecular Biology and 50 papers in Cellular and Molecular Neuroscience. Recurrent topics in Gábor Varga's work include Neuropeptides and Animal Physiology (46 papers), Pancreatic function and diabetes (25 papers) and Gastroesophageal reflux and treatments (17 papers). Gábor Varga is often cited by papers focused on Neuropeptides and Animal Physiology (46 papers), Pancreatic function and diabetes (25 papers) and Gastroesophageal reflux and treatments (17 papers). Gábor Varga collaborates with scholars based in Hungary, United States and United Kingdom. Gábor Varga's co-authors include Martin C. Steward, Péter Hegyi, Beáta Burghardt, Carmelo Scarpignato, Gábor Rácz, Kristóf Kádár, T Zelles, László Márk Czumbel, Su Chen and Beáta Kerémi and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Gastroenterology.

In The Last Decade

Gábor Varga

247 papers receiving 4.7k citations

Peers

Gábor Varga
Comparison fields: 5 of 180
  • Molecular Biology 1.5k
  • Surgery 1.3k
  • Cellular and Molecular Neuroscience 664
  • Physiology 557
  • Genetics 491
Replace Antonio Greco with:
Antonio Greco Italy
Takashi Watanabe Japan
Masaki Hata Japan
Fabrizio Michetti Italy
Niklas Rye Jørgensen Denmark
Shigeru Takahashi Japan
Christian A. Koch United States
Krzysztof Safranow Poland
Toshiyuki Takahashi Japan
Terry J. Smith United States
Antonio Greco Italy View profile →
Citations per field, relative to Gábor Varga
Gábor Varga · 1×
Citations per year, relative to Gábor Varga
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Countries citing papers authored by Gábor Varga

Since Specialization
Citations

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

Fields of papers citing papers by Gábor Varga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gábor Varga

This figure shows the co-authorship network connecting the top 25 collaborators of Gábor Varga. A scholar is included among the top collaborators of Gábor Varga 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 Varga. Gábor Varga 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
# Work Indexed citations
1 1
2 3
3 6
4 2
5 10
6 49
7 8
8 14
9 13
10 19
11 105
12 34
13 10
14 14
15 5
16 19
17 35
18 10
19 8
20 3

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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