Ivan Šebesta

690 citations
34 papers · 554 · h-index 15

Impact in

Papers in

    • Gout, Hyperuricemia, Uric Acid 20
    • Renal Diseases and Glomerulopathies 4
    • Biochemical and Molecular Research 13
    • Ion Transport and Channel Regulation 3

Ivan Šebesta

33 papers receiving 548 citations

Peers

Ivan Šebesta
Comparison fields: 5 of 56
  • Nephrology 322
  • Clinical Biochemistry 83
  • Pathology and Forensic Medicine 108
  • Rheumatology 59
  • Molecular Biology 264
Replace Ruth G. Abramson with:
Ruth G. Abramson United States
Toshihide Higashino Japan
Gutman Ab
Yaxiang Song China
Ronen Levi Israel
М. С. Елисеев Russia
Nikolaos Marketos Greece
Shinichi Antoku Japan
Gonzalo Castillo Spain
Masaaki KANAYAMA Japan
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Citations per field
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Citations per year

Countries citing papers authored by Ivan Šebesta

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Šebesta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201350
2 201147
3 201246
4 201543
5 200043
6 201136
7 201834
8 201129
9 199422
10 199920
11 200319
12 199719
13 201218
14 201615
15 202214
16 200813
17 199512
18 199510
19 20068
20 19957

About Ivan Šebesta

Ivan Šebesta is a scholar working on Nephrology, Molecular Biology, Pathology and Forensic Medicine, Epidemiology and Surgery, having authored 34 papers that have together received 554 indexed citations. Recurring topics across this work include Gout, Hyperuricemia, Uric Acid (20 papers), Biochemical and Molecular Research (13 papers), Alcohol Consumption and Health Effects (6 papers), Neonatal Health and Biochemistry (5 papers), Metabolism and Genetic Disorders (4 papers), Muscle and Compartmental Disorders (4 papers), Renal Diseases and Glomerulopathies (4 papers) and Ion Transport and Channel Regulation (3 papers). The work is most often cited by research in Nephrology (322 citations), Clinical Biochemistry (83 citations), Pathology and Forensic Medicine (108 citations), Rheumatology (59 citations) and Molecular Biology (264 citations). Ivan Šebesta has collaborated with scholars based in Czechia, United Kingdom and Japan. Frequent co-authors include Blanka Stibůrková, Kimiyoshi Ichida, Jakub Krijt, Stanislav Kmoch, Anthony M. Marinaki, Judy Taylor, Makiko Nakamura, Vladimír Krylov, H. Anne Simmonds and Hana Hartmannová. Their work appears in journals such as Nucleosides Nucleotides & Nucleic Acids, Clinica Chimica Acta, Pediatric Nephrology, Advances in experimental medicine and biology and Journal of Inherited Metabolic Disease.

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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