Ivan Šebesta

687 total citations
34 papers, 552 citations indexed

About

Ivan Šebesta is a scholar working on Molecular Biology, Nephrology and Pathology and Forensic Medicine. According to data from OpenAlex, Ivan Šebesta has authored 34 papers receiving a total of 552 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 20 papers in Nephrology and 7 papers in Pathology and Forensic Medicine. Recurrent topics in Ivan Šebesta's work include Gout, Hyperuricemia, Uric Acid (19 papers), Biochemical and Molecular Research (15 papers) and Alcohol Consumption and Health Effects (7 papers). Ivan Šebesta is often cited by papers focused on Gout, Hyperuricemia, Uric Acid (19 papers), Biochemical and Molecular Research (15 papers) and Alcohol Consumption and Health Effects (7 papers). Ivan Šebesta collaborates with scholars based in Czechia, United Kingdom and Japan. Ivan Šebesta's co-authors include Blanka Stibůrková, Kimiyoshi Ichida, Jakub Krijt, Anthony M. Marinaki, Stanislav Kmoch, Judy Taylor, Makiko Nakamura, Vladimír Krylov, H. Anne Simmonds and Jürg Ott and has published in prestigious journals such as The American Journal of Human Genetics, Clinica Chimica Acta and Advances in experimental medicine and biology.

In The Last Decade

Ivan Šebesta

33 papers receiving 543 citations

Peers

Ivan Šebesta
Comparison fields: 5 of 60
  • Nephrology 354
  • Molecular Biology 331
  • Pathology and Forensic Medicine 163
  • Clinical Biochemistry 100
  • Rheumatology 88
Replace L. D. Fairbanks with:
L. D. Fairbanks United Kingdom
A Abbati Italy
Toshihide Higashino Japan
Theresa M. Corpuz Australia
Pablo Saborío United States
Simon Lykkeboe Denmark
Nikolaos Marketos Greece
Akihito Hishikawa Japan
Øystein Aagenæs Norway
Roser Guiteras Spain
L. D. Fairbanks United Kingdom View profile →
Citations per field, relative to Ivan Šebesta
Ivan Šebesta · 1×
Citations per year, relative to Ivan Šebesta
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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-authorship network of co-authors of Ivan Šebesta

This figure shows the co-authorship network connecting the top 25 collaborators of Ivan Šebesta. A scholar is included among the top collaborators of Ivan Šebesta 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 Ivan Šebesta. Ivan Šebesta 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
# Work Indexed citations
1 3
2 43
3 50
4 17
5 46
6 47
7 29
8 13
9 6
10 3
11 8
12 2
13 19
14 43
15
Identification and determination of succinyladenosine in human cerebrospinal fluid
3
16 20
17 7
18 12
19 22
20 3

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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