Mario Ćuk

841 citations
24 papers · 575 · h-index 10

Impact in

Papers in

    • Biochemical and Molecular Research 5
    • Ion channel regulation and function 2
    • Congenital heart defects research 2
    • Folate and B Vitamins Research 8

Mario Ćuk

20 papers receiving 567 citations

Peers

Mario Ćuk
Comparison fields: 5 of 88
  • Sensory Systems 116
  • Clinical Biochemistry 84
  • Rheumatology 153
  • Physiology 27
  • Biochemistry 42
Replace Gillian P. Smith with:
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Citations per field
00.5×10×15×21.5×
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Citations per year

Countries citing papers authored by Mario Ćuk

Since Specialization
Citations

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

Fields of papers citing papers by Mario Ćuk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004162
2 2017126
3 201668
4 201763
5 201331
6
Use of psychoactive substances among Zagreb University medical students: follow-up study.
200330
7 201518
8 200618
9 200811
10 200610
11 20169
12
The fourth S-adenosylhomocysteine hydrolase deficient patient : Further evidence of congenital miopathy
20078
13 20235
14 20195
15 20114
16
Ethics in medicine: students' opinions on disclosure of true diagnosis.
20023
17 20241
18
Whole blood S-adenosylhomoysteine - a reliable biomarker of S-adenosylhomocysteine hydrolase deficiency
20071
19
Mitochondriopathy presenting with immune disorder
20081
20
S-Adenosylhomocysteine (AdoHcy) hydrolase deficiency: myopathy seems to be congenital
20051

About Mario Ćuk

Mario Ćuk is a scholar working on Molecular Biology, Rheumatology, Clinical Biochemistry, Genetics and Sensory Systems, having authored 24 papers that have together received 575 indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (8 papers), Folate and B Vitamins Research (8 papers), Biochemical and Molecular Research (5 papers), Genetics and Neurodevelopmental Disorders (4 papers), Ion Channels and Receptors (3 papers), Autism Spectrum Disorder Research (2 papers), Ion channel regulation and function (2 papers) and Congenital heart defects research (2 papers). The work is most often cited by research in Sensory Systems (116 citations), Clinical Biochemistry (84 citations), Rheumatology (153 citations), Physiology (27 citations) and Biochemistry (42 citations). Mario Ćuk has collaborated with scholars based in Croatia, United States and Germany. Frequent co-authors include Ivo Barić, Stefan Feske, Ksenija Fumić, Oliver Vugrek, S. Harvey Mudd, Rita Horváth, Vladimir Sarnavka, Ulrike Kaufmann, Bindi Patel and Jun J. Yang. Their work appears in journals such as European Journal of Human Genetics, Genes, Cell Metabolism, Journal of Personalized Medicine 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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