Jana Kodydková

667 citations
13 papers · 537 indexed · h-index 8

Jana Kodydková

13 papers receiving 522 citations

Peers

Jana Kodydková
Comparison fields: 5 of 96
  • Biological Psychiatry 95
  • Behavioral Neuroscience 76
  • Clinical Biochemistry 107
  • Nutrition and Dietetics 99
  • Biochemistry 38
Replace Lucie Vávřová with:
Lucie Vávřová Czechia
Aleardo Koverech Italy
Lara M. Gomes Brazil
Luciane Rosa Feksa Brazil
Aline Haas de Mello Brazil
Driélly Florentino Brazil
Amr M. Abbas Egypt
Aleksandra Nikolić‐Kokić Serbia
Ryoji Teradaira Japan
Jana Kodydková relative to Lucie Vávřová Czechia Lucie Vávřová's profile →
Citations per field
00.5×1.5×
Lucie Vávřová · 1×
Citations per year

Countries citing papers authored by Jana Kodydková

Since Specialization
Citations

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

Fields of papers citing papers by Jana Kodydková

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 16 scholars most cited alongside Jana Kodydková, 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 Jana Kodydková Line = papers co-authored together Jana Kodydková links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2014129
2 201340
3 201372
4 201214
5
N-3 polyunsaturated fatty acids in the treatment of atherogenic dyslipidemia.
201212
6
[Oxidative stress after anthracycline therapy in patients with solid tumors].
20123
7
[Reactive oxygen and nitrogen species in the clinical medicine].
20111
8
[Alterations in fatty acid composition of plasma and erythrocyte lipids in critically ill patients during sepsis].
20105
9 20105
10 200972
11 2009159
12
[Features of metabolic syndrome in patients with depressive disorder].
20091
13 200724

About Jana Kodydková

Jana Kodydková is a scholar working on Clinical Biochemistry, Biochemistry, Nutrition and Dietetics, Nephrology and Endocrinology, Diabetes and Metabolism, having authored 13 papers that have together received 537 indexed citations. Recurring topics across this work include Paraoxonase enzyme and polymorphisms (6 papers), Vitamin C and Antioxidants Research (3 papers), Pancreatitis Pathology and Treatment (3 papers), Glutathione Transferases and Polymorphisms (2 papers), Biochemical Acid Research Studies (2 papers), Fatty Acid Research and Health (2 papers), Nutrition, Genetics, and Disease (1 paper) and Metabolomics and Mass Spectrometry Studies (1 paper). The work is most often cited by research in Biological Psychiatry (95 citations), Behavioral Neuroscience (76 citations), Clinical Biochemistry (107 citations), Nutrition and Dietetics (99 citations) and Biochemistry (38 citations). Jana Kodydková has collaborated with scholars based in Czechia and Croatia. Frequent co-authors include Zák A, Lucie Vávřová, Barbora Staňková, Jaroslav Macášek, M. Zeman, E Tvrzická, Roman Jirák, František Novák, T Krechler and Marek Vecka. Their work appears in journals such as Obesity Facts, Clinical Biochemistry, Pancreas, Atherosclerosis Supplements and Clinical and Experimental Medicine.

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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