György Sétáló

3.2k total citations
64 papers, 2.6k citations indexed

About

György Sétáló is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, György Sétáló has authored 64 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 13 papers in Cellular and Molecular Neuroscience and 12 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in György Sétáló's work include Growth Hormone and Insulin-like Growth Factors (8 papers), Stress Responses and Cortisol (7 papers) and Estrogen and related hormone effects (6 papers). György Sétáló is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (8 papers), Stress Responses and Cortisol (7 papers) and Estrogen and related hormone effects (6 papers). György Sétáló collaborates with scholars based in Hungary, United States and Germany. György Sétáló's co-authors include C. Dominique Toran‐Allerand, Meharvan Singh, Xiaoping Guan, Matthew D. Warren, Andrew V. Schally, Béla Flerkó, Akira Arimura, D E Frail, Manvendra K. Singh and Sándor Vigh and has published in prestigious journals such as Journal of Neuroscience, Brain and Scientific Reports.

In The Last Decade

György Sétáló

59 papers receiving 2.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
György Sétáló Hungary 22 898 796 779 666 442 64 2.6k
Koh Shinoda Japan 27 866 1.0× 945 1.2× 302 0.4× 881 1.3× 377 0.9× 90 2.6k
Roberto Maggi Italy 32 492 0.5× 983 1.2× 485 0.6× 818 1.2× 963 2.2× 120 3.0k
Thomas Skutella Germany 34 635 0.7× 1.5k 1.9× 453 0.6× 849 1.3× 410 0.9× 124 4.0k
Heike Heuer Germany 39 818 0.9× 1.2k 1.6× 2.3k 2.9× 622 0.9× 263 0.6× 113 4.4k
Luciano Martini Italy 34 663 0.7× 877 1.1× 1.0k 1.3× 797 1.2× 794 1.8× 76 3.2k
Marcella Motta Italy 28 474 0.5× 679 0.9× 574 0.7× 383 0.6× 504 1.1× 66 2.2k
Christiane Otto Germany 23 931 1.0× 1.1k 1.4× 421 0.5× 923 1.4× 257 0.6× 43 2.5k
Ingrid Jung‐Testas France 25 789 0.9× 982 1.2× 646 0.8× 879 1.3× 207 0.5× 41 2.8k
Valerio Magnaghi Italy 35 437 0.5× 993 1.2× 452 0.6× 1.7k 2.5× 161 0.4× 103 3.6k
Adriana Seilicovich Argentina 30 264 0.3× 638 0.8× 593 0.8× 443 0.7× 312 0.7× 113 2.3k

Countries citing papers authored by György Sétáló

Since Specialization
Citations

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

Fields of papers citing papers by György Sétáló

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of György Sétáló

This figure shows the co-authorship network connecting the top 25 collaborators of György Sétáló. A scholar is included among the top collaborators of György Sétáló 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 György Sétáló. György Sétáló 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
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Lovász, Bálint Viktor, et al.. (2021). TEGDMA (Triethylene Glycol Dimethacrylate) Induces Both Caspase-Dependent and Caspase-Independent Apoptotic Pathways in Pulp Cells. Polymers. 13(5). 699–699. 11 indexed citations
3.
Sétáló, György, et al.. (2021). Bacterial Engulfment Mechanism Is Strongly Conserved in Evolution Between Earthworm and Human Immune Cells. Frontiers in Immunology. 12. 733541–733541. 9 indexed citations
4.
Dénes, Viktória, et al.. (2021). Age-Related Alterations of Proteins in Albino Wistar Rat Retina. Cells Tissues Organs. 210(2). 135–150. 10 indexed citations
5.
Lovász, Bálint Viktor, et al.. (2020). Influence of TEGDMA monomer on MMP-2, MMP-8, and MMP-9 production and collagenase activity in pulp cells. Clinical Oral Investigations. 25(4). 2269–2279. 14 indexed citations
6.
Sétáló, György, et al.. (2018). Sensitive fluorescent hybridisation protocol development for simultaneous detection of microRNA and cellular marker proteins (in the retina). Histochemistry and Cell Biology. 150(5). 557–566. 5 indexed citations
7.
Sághy, Éva, Maja Payrits, Rita Skoda‐Földes, et al.. (2018). Carboxamido steroids inhibit the opening properties of transient receptor potential ion channels by lipid raft modulation. Journal of Lipid Research. 59(10). 1851–1863. 23 indexed citations
8.
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Szabadfi, Krisztina, Viktória Dénes, Andrea Tamás, et al.. (2017). Accelerated retinal aging in PACAP knock-out mice. Neuroscience. 348. 1–10. 28 indexed citations
10.
Sághy, Éva, Éva Szőke, Maja Payrits, et al.. (2015). Evidence for the role of lipid rafts and sphingomyelin in Ca2+-gating of Transient Receptor Potential channels in trigeminal sensory neurons and peripheral nerve terminals. Pharmacological Research. 100. 101–116. 82 indexed citations
11.
Balogh, András, Lajos Markó, M. Németh, et al.. (2014). Gene expression profiling in PC12 cells infected with an oncolytic Newcastle disease virus strain. Virus Research. 185. 10–22. 6 indexed citations
12.
Talabér, Gergely, Ferenc Boldizsár, Domokos Bartis, et al.. (2009). Mitochondrial translocation of the glucocorticoid receptor in double-positive thymocytes correlates with their sensitivity to glucocorticoid-induced apoptosis. International Immunology. 21(11). 1269–1276. 46 indexed citations
13.
Singh, Manvendra K., György Sétáló, Xiaoping Guan, D E Frail, & C. Dominique Toran‐Allerand. (2000). Estrogen-induced activation of the mitogen-activated protein kinase cascade in the cerebral cortex of estrogen receptor-alpha knock-out mice.. PubMed. 20(5). 1694–700. 214 indexed citations
14.
Nemeskéri, Ágnes, György Sétáló, & Béla Halász. (1988). Ontogenesis of the Three Parts of the Fetal Rat Adenohypophysis. Neuroendocrinology. 48(5). 534–543. 57 indexed citations
15.
Horváth, Judit, György Sétáló, & B Flerkó. (1982). Immunohistochemical study of the onset of hormone synthesis in LH-RH and somatostatin neurons in rat brain.. PubMed. 16(3-4). 229–38. 5 indexed citations
16.
Sétáló, György, et al.. (1978). Ontogenesis of the LH-RH-containing neuronal elements in the hypothalamus of the rat.. PubMed. 29(3). 285–90. 10 indexed citations
17.
Sétáló, György, Judit Horváth, Andrew V. Schally, Akira Arimura, & B Flerkó. (1977). Effect of the isolated removal of the median eminence (ME) and pituitary stalk (PS) on the immunohistology and hormone release of the anterior pituitary gland grafted into the hypophysiotrophic area (HTA) and/or of the in situ pituitary gland.. PubMed. 28(3). 333–49.
18.
Sétáló, György, Sándor Vigh, Andrew V. Schally, Akira Arimura, & Béla Flerkó. (1976). Immunohistological study of the origin of LH-RH-containing nerve fibers of the rat hypothalamus. Brain Research. 103(3). 597–602. 120 indexed citations
19.
Sétáló, György, S. Vígh, Andrew V. Schally, Akira Arimura, & B Flerkó. (1975). LH-RH-Containing Neural Elements in the Rat Hypothalamus1. Endocrinology. 96(1). 135–142. 109 indexed citations
20.
Sétáló, György, Sándor Vigh, Andrew V. Schally, Akira Arimura, & Béla Flerkó. (1975). GH-RIH-containing neural elements in the rat hypothalamus. Brain Research. 90(2). 352–356. 60 indexed citations

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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