Libor Kozák

1.1k citations
37 papers · 769 · h-index 17

Impact in

Papers in

Libor Kozák

34 papers receiving 752 citations

Peers

Libor Kozák
Comparison fields: 5 of 70
  • Clinical Biochemistry 209
  • Biochemistry 96
  • Nutrition and Dietetics 158
  • Health, Toxicology and Mutagenesis 110
  • Hematology 63
Replace Shanti Balasubramaniam with:
Shanti Balasubramaniam Australia
Ben Pode‐Shakked Israel
Janine Reunert Germany
Marianne Grüneberg Germany
T. Ohura Japan
Ching‐Wan Lam Hong Kong
Diana L. Fitzpatrick United States
Jean Rey France
Brian M. Clancy United States
Parvin Justice United States
Libor Kozák relative to Shanti Balasubramaniam Australia Shanti Balasubramaniam's profile →
Citations per field
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Citations per year

Countries citing papers authored by Libor Kozák

Since Specialization
Citations

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

Fields of papers citing papers by Libor Kozák

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005107
2 1999104
3 200540
4 200640
5 199338
6 199636
7 200736
8 200632
9 200730
10 199426
11 200426
12 200225
13 200124
14 200523
15 200222
16 200922
17 199720
18 200816
19 200015
20 199414

About Libor Kozák

Libor Kozák is a scholar working on Molecular Biology, Clinical Biochemistry, Surgery, Genetics and Pediatrics, Perinatology and Child Health, having authored 37 papers that have together received 769 indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (11 papers), Amino Acid Enzymes and Metabolism (5 papers), Cholesterol and Lipid Metabolism (5 papers), Genetics and Neurodevelopmental Disorders (5 papers), Peroxisome Proliferator-Activated Receptors (5 papers), Trace Elements in Health (4 papers), Biochemical and Molecular Research (4 papers) and Folate and B Vitamins Research (4 papers). The work is most often cited by research in Clinical Biochemistry (209 citations), Biochemistry (96 citations), Nutrition and Dietetics (158 citations), Health, Toxicology and Mutagenesis (110 citations) and Hematology (63 citations). Libor Kozák has collaborated with scholars based in Czechia, Italy and United States. Frequent co-authors include Marek Borský, Pietro Chiurazzi, Giovanni Neri, Anjan Thakurta, Ravi Dhar, Jin Ho Yoon, Viera Kuhrová, František Foret, Maurizio Genuardi and Giuseppe Novelli. Their work appears in journals such as Journal of Inherited Metabolic Disease, Human Mutation, Molecular Genetics and Metabolism, Human Genetics and Journal of Medical Genetics.

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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