E Seböková

100 papers receiving 2.2k citations

Peers

E Seböková
Comparison fields: 5 of 112
  • Endocrinology, Diabetes and Metabolism 522
  • Nutrition and Dietetics 469
  • Biochemistry 222
  • Health, Toxicology and Mutagenesis 318
  • Physiology 470
Replace Howard D. Colby with:
Howard D. Colby United States
Carmen M. Vázquez Spain
Hirofumi Misu Japan
Tahir Hussain United States
Sam J. Bhathena United States
Rasmus K. Petersen Denmark
María S. Giménez Argentina
Daniela Gašperíková Slovakia
Evert M. van Schothorst Netherlands
Véronique Azaı̈s-Braesco France
E Seböková relative to Howard D. Colby United States Howard D. Colby's profile →
Citations per field
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Howard D. Colby · 1×
Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 102 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1988231
2 2006132
3 2005131
4 2003107
5 198885
6 201083
7 200569
8 200966
9 200366
10 200763
11 200759
12 200955
13 199953
14 199049
15 200247
16 201044
17 200743
18 200241
19 200938
20 201136

About E Seböková

E Seböková is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Physiology, Nutrition and Dietetics and Health, Toxicology and Mutagenesis, having authored 102 papers that have together received 2.2k indexed citations. Recurring topics across this work include Diet, Metabolism, and Disease (19 papers), Adipose Tissue and Metabolism (18 papers), Metabolism, Diabetes, and Cancer (15 papers), Peroxisome Proliferator-Activated Receptors (15 papers), Fatty Acid Research and Health (12 papers), Hormonal and reproductive studies (8 papers), Diabetes Treatment and Management (8 papers) and Toxic Organic Pollutants Impact (8 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (522 citations), Nutrition and Dietetics (469 citations), Biochemistry (222 citations), Health, Toxicology and Mutagenesis (318 citations) and Physiology (470 citations). E Seböková has collaborated with scholars based in Slovakia, Switzerland and United States. Frequent 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. Their work appears in journals such as Annals of the New York Academy of Sciences, Chemosphere, Experimental and Clinical Endocrinology & Diabetes, Diabetes Obesity and Metabolism and American Journal of Physiology-Endocrinology and Metabolism.

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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