E Seböková

4.2k total citations
102 papers, 2.2k citations indexed

About

E Seböková is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Physiology. According to data from OpenAlex, E Seböková has authored 102 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Endocrinology, Diabetes and Metabolism, 35 papers in Molecular Biology and 25 papers in Physiology. Recurrent topics in E Seböková's work include Diet, Metabolism, and Disease (21 papers), Adipose Tissue and Metabolism (20 papers) and Peroxisome Proliferator-Activated Receptors (18 papers). E Seböková is often cited by papers focused on Diet, Metabolism, and Disease (21 papers), Adipose Tissue and Metabolism (20 papers) and Peroxisome Proliferator-Activated Receptors (18 papers). E Seböková collaborates with scholars based in Slovakia, Switzerland and Canada. E Seböková's co-authors include I Klimeś, M. Thomas Clandinin, Manohar L. Garg, A. B. R. Thomson, Daniela Gašperíková, P Langer, Žofia Rádiková, T. Trnovec, Jacques Mizrahi and M Tajtáková and has published in prestigious journals such as Circulation, Biochemical Journal and Chemosphere.

In The Last Decade

E Seböková

100 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
E Seböková Slovakia 27 656 601 547 514 336 102 2.2k
Daniela Gašperíková Slovakia 24 728 1.1× 424 0.7× 970 1.8× 282 0.5× 226 0.7× 96 2.4k
Tahir Hussain United States 34 1.4k 2.2× 1.0k 1.7× 559 1.0× 529 1.0× 334 1.0× 119 3.4k
W. H. F. Sutherland New Zealand 30 378 0.6× 557 0.9× 507 0.9× 827 1.6× 94 0.3× 109 3.0k
María J. T. de Alaniz Argentina 27 493 0.8× 153 0.3× 319 0.6× 716 1.4× 248 0.7× 78 1.8k
Michel Narce France 24 539 0.8× 243 0.4× 444 0.8× 668 1.3× 72 0.2× 88 2.1k
Sam J. Bhathena United States 22 553 0.8× 588 1.0× 429 0.8× 545 1.1× 96 0.3× 49 2.2k
María S. Giménez Argentina 30 428 0.7× 300 0.5× 222 0.4× 633 1.2× 477 1.4× 104 2.3k
Norman G. Hord United States 25 695 1.1× 157 0.3× 761 1.4× 287 0.6× 205 0.6× 55 2.5k
Bernard B. Davis United States 32 1.2k 1.8× 307 0.5× 506 0.9× 257 0.5× 161 0.5× 168 3.6k
Takako Tomita Japan 26 459 0.7× 241 0.4× 305 0.6× 144 0.3× 186 0.6× 132 2.2k

Countries citing papers authored by E Seböková

Since Specialization
Citations

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

Fields of papers citing papers by E Seböková

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E Seböková

This figure shows the co-authorship network connecting the top 25 collaborators of E Seböková. A scholar is included among the top collaborators of E Seböková 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 E Seböková. E Seböková 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
1.
Samadfam, Rana, Agnès Bénardeau, Frieder Bauss, et al.. (2011). Combination treatment with pioglitazone and fenofibrate attenuates pioglitazone-mediated acceleration of bone loss in ovariectomized rats. Journal of Endocrinology. 212(2). 179–186. 12 indexed citations
2.
Wright, Matthew B., E Seböková, Martin Wabitsch, et al.. (2010). Abstract 10854: Aleglitazar, a Balanced Dual PPAR alpha/ gamma Agonist, Decreases Lipolysis and Cytokine Production in a Cellular Model of Inflamed Human Adipose Tissue.. Circulation. 122. 4 indexed citations
3.
Wein, Silvia, Siegfried Wolffram, Jürgen Schrezenmeir, et al.. (2009). Medium‐chain fatty acids ameliorate insulin resistance caused by high‐fat diets in rats. Diabetes/Metabolism Research and Reviews. 25(2). 185–194. 64 indexed citations
4.
Tikellis, Chris, Karin Jandeleit‐Dahm, Karen Sheehy, et al.. (2008). Reduced plaque formation induced by rosiglitazone in an STZ-diabetes mouse model of atherosclerosis is associated with downregulation of adhesion molecules. Atherosclerosis. 199(1). 55–64. 28 indexed citations
5.
6.
Wein, Sharon, Jozef Ukropec, Daniela Gašperíková, I Klimeś, & E Seböková. (2007). Concerted Action of Leptin in Regulation of Fatty Acid Oxidation in Skeletal Muscle and Liver. Experimental and Clinical Endocrinology & Diabetes. 115(4). 244–251. 22 indexed citations
7.
Calkin, Anna C., Karin Jandeleit‐Dahm, Terri J. Allen, et al.. (2007). PPARs and Diabetes-Associated Atherosclerosis. Current Pharmaceutical Design. 13(26). 2736–2741. 6 indexed citations
8.
Rádiková, Žofia, J Koška, Miroslava Hučková, et al.. (2006). Insulin Sensitivity Indices: a Proposal of Cut-Off Points for Simple Identification of Insulin-Resistant Subjects. Experimental and Clinical Endocrinology & Diabetes. 114(5). 249–256. 131 indexed citations
9.
10.
Langer, P, M Tajtáková, Anton Koc̆an, et al.. (2002). High Prevalence of Anti-Glutamic Acid Decarboxylase (Anti-GAD) Antibodies in Employees at a Polychlorinated Biphenyl Production Factory. Archives of Environmental Health An International Journal. 57(5). 412–415. 41 indexed citations
11.
Tajtáková, M, P Langer, Zsuzsanna Putz, et al.. (2000). [Epidemiological profile of thyroid volume and disorders in Slovakia].. PubMed. 46(11). 756–63. 2 indexed citations
12.
Klimeś, I, S. M. Haffner, E Seböková, B. V. Howard, & L. H. Storlien. (1997). Lipids and syndromes of insulin resistance : from molecular biology to clinical medicine. New York Academy of Sciences eBooks. 2 indexed citations
13.
Seböková, E, et al.. (1997). Diet‐induced Insulin Resistance Is Associated with Decreased Activity of Type I Iodothyronine 5′‐Deiodinase in Rat Livera. Annals of the New York Academy of Sciences. 827(1). 485–488. 2 indexed citations
14.
Bohov, Pavol, et al.. (1997). The Effect of Hyperlipidemia on Serum Fatty Acid Composition in Type 2 Diabeticsa. Annals of the New York Academy of Sciences. 827(1). 561–567. 16 indexed citations
15.
Gašperíková, Daniela, I Klimeś, Thomas Kolter, et al.. (1997). Glucose Transport and Insulin Signaling in Rat Muscle and Adipose Tissue Effect of Lipid Availabilitya. Annals of the New York Academy of Sciences. 827(1). 144–157. 7 indexed citations
16.
Klimeś, I & E Seböková. (1997). Hypertension and the Insulin Resistance Syndrome of Rats. Annals of the New York Academy of Sciences. 827(1). 13–34. 9 indexed citations
17.
Seböková, E, I Klimeś, & P Stolba. (1995). [Cellular and molecular mechanisms of insulin resistance].. PubMed. 41(2). 76–83. 1 indexed citations
18.
Klimeś, I, et al.. (1993). Raised Dietary Intake of N‐3 Polyunsaturated Fatty Acids in High Sucrose‐Induced Insulin Resistance. Annals of the New York Academy of Sciences. 683(1). 69–81. 32 indexed citations
19.
Macho, L, et al.. (1993). Effect of Dietary Fish Oil on 2‐Deoxy‐D‐3H Glucose Uptake in Isolated Adipocytes of Rats Fed Various Diets a. Annals of the New York Academy of Sciences. 683(1). 237–243. 5 indexed citations
20.
Ficková, M, E Seböková, P. Hubert, et al.. (1992). Liver Plasma Membrane Lipid Composition and Insulin Receptor Tyrosine Kinase Activity in HTG Rat. Hormone and Metabolic Research. 24(1). 42–43. 6 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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