Ivan Šebesta

687 citations
34 papers · 552 · h-index 15

Impact in

Papers in

    • Biochemical and Molecular Research 15
    • Ion Transport and Channel Regulation 4
    • Gout, Hyperuricemia, Uric Acid 19
    • Renal Diseases and Glomerulopathies 4

Ivan Šebesta

33 papers receiving 543 citations

Peers

Ivan Šebesta
Comparison fields: 5 of 60
  • Nephrology 354
  • Clinical Biochemistry 100
  • Pathology and Forensic Medicine 163
  • Rheumatology 88
  • Molecular Biology 331
Replace Toshihide Higashino with:
Toshihide Higashino Japan
L. D. Fairbanks United Kingdom
Theresa M. Corpuz Australia
М. С. Елисеев Russia
A Abbati Italy
Pablo Saborío United States
Simon Lykkeboe Denmark
Nikolaos Marketos Greece
Kathleen Pfeffer United States
Masaaki KANAYAMA Japan
Ivan Šebesta relative to Toshihide Higashino Japan Toshihide Higashino's profile →
Citations per field
00.5×5.9×
Toshihide Higashino · 1×
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 200043
5 201543
6 201135
7 201834
8 201129
9 199422
10 199920
11 200319
12 199719
13 201217
14 201615
15 202214
16 200813
17 199512
18 199510
19 20068
20 19957

About Ivan Šebesta

Ivan Šebesta is a scholar working on Molecular Biology, Nephrology, Pathology and Forensic Medicine, Epidemiology and Surgery, having authored 34 papers that have together received 552 indexed citations. Recurring topics across this work include Gout, Hyperuricemia, Uric Acid (19 papers), Biochemical and Molecular Research (15 papers), Alcohol Consumption and Health Effects (7 papers), Metabolism and Genetic Disorders (5 papers), Neonatal Health and Biochemistry (5 papers), Renal Diseases and Glomerulopathies (4 papers), Muscle and Compartmental Disorders (4 papers) and Ion Transport and Channel Regulation (4 papers). The work is most often cited by research in Nephrology (354 citations), Clinical Biochemistry (100 citations), Pathology and Forensic Medicine (163 citations), Rheumatology (88 citations) and Molecular Biology (331 citations). Ivan Šebesta has collaborated with scholars based in Czechia, United Kingdom and Japan. Frequent co-authors include Blanka Stibůrková, Kimiyoshi Ichida, Jakub Krijt, Anthony M. Marinaki, Stanislav Kmoch, Judy Taylor, Vladimír Krylov, Makiko Nakamura, H. Anne Simmonds and Jürg Ott. Their work appears in journals such as Nucleosides Nucleotides & Nucleic Acids, Clinica Chimica Acta, Advances in experimental medicine and biology, Pediatric Nephrology 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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