Mario Ćuk

20 papers receiving 597 citations

Peers

Mario Ćuk
Comparison fields: 5 of 86
  • Sensory Systems 115
  • Clinical Biochemistry 87
  • Rheumatology 157
  • Biochemistry 46
  • Physiology 27
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Tom Litjens Australia
M. Tosco Italy
Kinga Hadzsiev Hungary
Haruko Koyama Japan
Marsha F. Browning United States
Silke Wiegand Germany
Célia Harumi Tengan Brazil
Mohammad M. Al‐bataineh United States
Osamu Fukushima Japan
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Citations per field
00.5×8.7×
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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 2004179
2 2017132
3 201670
4 201766
5 201332
6
Use of psychoactive substances among Zagreb University medical students: follow-up study.
200330
7 201521
8 200618
9 200811
10 200610
11 20169
12
The fourth S-adenosylhomocysteine hydrolase deficient patient : Further evidence of congenital miopathy
20078
13 20236
14 20195
15 20114
16
Ethics in medicine: students' opinions on disclosure of true diagnosis.
20023
17
Whole blood S-adenosylhomoysteine - a reliable biomarker of S-adenosylhomocysteine hydrolase deficiency
20071
18
Mitochondriopathy presenting with immune disorder
20081
19 20241
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 Oncology, having authored 24 papers that have together received 608 indexed citations. Recurring topics across this work include Folate and B Vitamins Research (8 papers), Metabolism and Genetic Disorders (7 papers), Biochemical and Molecular Research (5 papers), Genetics and Neurodevelopmental Disorders (3 papers), Genomics and Rare Diseases (2 papers), Ion channel regulation and function (2 papers), Peptidase Inhibition and Analysis (2 papers) and Ion Channels and Receptors (2 papers). The work is most often cited by research in Sensory Systems (115 citations), Clinical Biochemistry (87 citations), Rheumatology (157 citations), Biochemistry (46 citations) and Physiology (27 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, Jayson Lian, Vladimir Sarnavka, S. Harvey Mudd, Rita Horváth, Máté Maus and Bindi Patel. Their work appears in journals such as European Journal of Human Genetics, Genes, Cell Metabolism, Journal of Inherited Metabolic Disease and Biochemical and Biophysical Research Communications.

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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