Ivan Zahradnı́k

1.2k citations
60 papers · 1.0k indexed · h-index 18

Ivan Zahradnı́k

60 papers receiving 1.0k citations

Peers

Ivan Zahradnı́k
Comparison fields: 5 of 89
  • Cellular and Molecular Neuroscience 470
  • Cardiology and Cardiovascular Medicine 561
  • Molecular Biology 829
  • Sensory Systems 56
  • Biophysics 35
Replace George S.B. Williams with:
George S.B. Williams United States
Eckard Picht United States
Alexandra Zahradnı́ková Slovakia
Andrew F. James United Kingdom
Jörg Hüser Germany
Ivy E. Dick United States
Chae Hun Leem South Korea
Scott T. Lamp United States
Gary L. Aistrup United States
John H.B. Bridge United States
Ivan Zahradnı́k relative to George S.B. Williams United States George S.B. Williams's profile →
Citations per field
00.5×1.7×
George S.B. Williams · 1×
Citations per year

Countries citing papers authored by Ivan Zahradnı́k

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Zahradnı́k

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20232
2 20223
3 202111
4 20201
5 20202
6 20196
7 20176
8 20161
9 20144
10 201211
11 200833
12 20077
13 200622
14 200612
15 20039
16 200218
17 200047
18 199910
19 199645
20 1994174

About Ivan Zahradnı́k

Ivan Zahradnı́k is a scholar working on Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine and Computer Graphics and Computer-Aided Design, having authored 60 papers that have together received 1.0k indexed citations. Recurring topics across this work include Ion channel regulation and function (38 papers), Cardiac electrophysiology and arrhythmias (36 papers), Neuroscience and Neural Engineering (19 papers), Neuroscience and Neuropharmacology Research (12 papers), Adipose Tissue and Metabolism (5 papers), Muscle Physiology and Disorders (4 papers), Mitochondrial Function and Pathology (3 papers) and Muscle metabolism and nutrition (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (470 citations), Cardiology and Cardiovascular Medicine (561 citations) and Molecular Biology (829 citations). Ivan Zahradnı́k has collaborated with scholars based in Slovakia, Russia and France. Frequent co-authors include Alexandra Zahradnı́ková, Sándor Györke, G. Droogmans, Masahiro Oike, Bernd Nilius, Marta Novotová, Inna Györke, Eva Polaková, J Záchar and Ariel L. Escobar. Their work appears in journals such as PLoS ONE, The Journal of Physiology and Scientific Reports.

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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