Ľudevít Kádaši

1.4k citations
56 papers · 809 indexed · h-index 18
Topics
Mitochondrial Function and Pathology (9 papers)Genetic Neurodegenerative Diseases (8 papers)Metabolism and Genetic Disorders (7 papers)
Partner nations
SlovakiaCzechiaRussia

In The Last Decade

Ľudevít Kádaši

54 papers receiving 781 citations

Peers

Ľudevít Kádaši
Comparison fields: 5 of 104
  • Molecular Biology 446
  • Genetics 155
  • Clinical Biochemistry 147
  • Cellular and Molecular Neuroscience 99
  • Sensory Systems 83
Replace Agnieszka Pollak with:
Agnieszka Pollak Poland
Joanna Kosińska Poland
Lori L. Stohl United States
Tracey Davey United Kingdom
Ayumi Matsumoto Japan
Yulan Lu China
Henry Hoff United States
Brenda Richards United States
Minna Kujala Finland
R. Curtis Rogers United States
Ľudevít Kádaši relative to Agnieszka Pollak Poland Agnieszka Pollak's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ľudevít Kádaši

Since Specialization
Citations

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

Fields of papers citing papers by Ľudevít Kádaši

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ľudevít Kádaši

This figure shows the co-authorship network connecting the top 25 collaborators of Ľudevít Kádaši. A scholar is included among the top collaborators of Ľudevít Kádaši 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 Ľudevít Kádaši. Ľudevít Kádaši 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
#WorkIndexed citations
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3 37
4 25
5 6
6 8
7 1
8 2
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10 16
11 33
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13 10
14 33
15 20
16 7
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18 87
19
Identification of the deletions in the UGT1A1 gene of the patients with Crigler-Najjar syndrome type I from Slovakia.
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20 5

About Ľudevít Kádaši

Ľudevít Kádaši is a scholar working on Clinical Biochemistry, Sensory Systems and Cellular and Molecular Neuroscience, having authored 56 papers that have together received 809 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (9 papers), Genetic Neurodegenerative Diseases (8 papers) and Metabolism and Genetic Disorders (7 papers). The work is most often cited by research in Clinical Biochemistry (147 citations), Sensory Systems (83 citations) and Microbiology (66 citations). Ľudevít Kádaši has collaborated with scholars based in Slovakia, Czechia and Russia. Frequent co-authors include Andrej Ficek, Gabriel Minárik, H Poláková, Andrea Zaťková, Roland Pálffy, Peter Celec, Ján Radvánszky, Ján Turňa, Roman Gardlík and Michal Behuliak. Their work appears in journals such as PLoS ONE, Analytical Biochemistry 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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