Gábor Sütő

62 papers receiving 659 citations

Peers

Gábor Sütő
Comparison fields: 5 of 75
  • Gastroenterology 107
  • Endocrinology, Diabetes and Metabolism 117
  • Behavioral Neuroscience 25
  • Endocrine and Autonomic Systems 44
  • Sensory Systems 30
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S Konturek Poland
Anna Mokrowiecka Poland
N.B. Ulusoy Türkiye
Koji Yakabi Japan
Iveta Grants United States
Jean Moré France
Huaizhi Yin United States
B. Saffouri United States
Adam L. Bujak Canada
Hiroo Takeda Japan
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Citations per year

Countries citing papers authored by Gábor Sütő

Since Specialization
Citations

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

Fields of papers citing papers by Gábor Sütő

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200675
2 199468
3 199466
4 201345
5 199335
6 199428
7
Prevalence of rheumatoid arthritis in the South-Transdanubian region of Hungary based on a representative survey of 10,000 inhabitants.
200522
8
Survey of Raynaud's phenomenon and systemic sclerosis based on a representative study of 10,000 south-Transdanubian Hungarian inhabitants.
200622
9 202121
10 199420
11 200120
12 202117
13 200515
14 199814
15 200114
16 200010
17 199710
18 199210
19 20019
20 20009

About Gábor Sütő

Gábor Sütő is a scholar working on Surgery, Nutrition and Dietetics, Physiology, Cellular and Molecular Neuroscience and Gastroenterology, having authored 64 papers that have together received 678 indexed citations. Recurring topics across this work include Helicobacter pylori-related gastroenterology studies (19 papers), Neuropeptides and Animal Physiology (8 papers), Biochemical Analysis and Sensing Techniques (7 papers), Gastrointestinal motility and disorders (6 papers), Nitric Oxide and Endothelin Effects (4 papers), Inflammatory Bowel Disease (4 papers), Inflammatory mediators and NSAID effects (4 papers) and Diabetes Treatment and Management (4 papers). The work is most often cited by research in Gastroenterology (107 citations), Endocrinology, Diabetes and Metabolism (117 citations), Behavioral Neuroscience (25 citations), Endocrine and Autonomic Systems (44 citations) and Sensory Systems (30 citations). Gábor Sütő has collaborated with scholars based in Hungary, United States and Germany. Frequent co-authors include Yvette Taché, Áron Vincze, András Király, Victor Plourde, Enrique Quintero, Gyula Mózsik, György Jermendy, G Mózsik, László Czirják and Cecília Varjú. Their work appears in journals such as Journal of Physiology-Paris, Inflammopharmacology, European Journal of Pharmacology, American Journal of Physiology-Gastrointestinal and Liver Physiology and BMJ Open Diabetes Research & Care.

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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