Zdena Škodová

646 citations
15 papers · 505 indexed · h-index 10
Topics
Genetic Associations and Epidemiology (5 papers)Lipoproteins and Cardiovascular Health (5 papers)Cholesterol and Lipid Metabolism (4 papers)

In The Last Decade

Zdena Škodová

15 papers receiving 488 citations

Peers

Zdena Škodová
Comparison fields: 5 of 74
  • Immunology 194
  • Surgery 140
  • Epidemiology 127
  • Endocrinology, Diabetes and Metabolism 91
  • Molecular Biology 76
Replace Natasja de Bont with:
Natasja de Bont Netherlands
Millán Perez‐Ayala Spain
Paula Restrepo-Jiménez Colombia
Dong-Yeop Chang South Korea
Akemi Takamizawa Japan
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Laszlo Groh Netherlands
Erika Ricci Italy
Sindu Stephen United States
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Zdena Škodová relative to Natasja de Bont Netherlands Natasja de Bont's profile →
Citations per field
00.5×2.6×
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Citations per year

Countries citing papers authored by Zdena Škodová

Since Specialization
Citations

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

Fields of papers citing papers by Zdena Škodová

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zdena Škodová

This figure shows the co-authorship network connecting the top 25 collaborators of Zdena Škodová. A scholar is included among the top collaborators of Zdena Škodová 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 Zdena Škodová. Zdena Škodová is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 9
2 11
3 20
4 20
5
Genetic polymorphisms of TGF-beta, PAI-1, and COL1A-1, and determination of bone mineral density in Caucasian females.
7
6 14
7 10
8 36
9
Apolipoprotein AV gene polymorphisms (T-1131/C and Ser19/Trp) influence plasma triglyceride levels and risk of myocardial infarction.
5
10 24
11
Is the CD14 receptor gene a marker for smoking dependence?
2
12 52
13 21
14 1
15 273

About Zdena Škodová

Zdena Škodová is a scholar working on Biochemistry, Cancer Research and Endocrinology, Diabetes and Metabolism, having authored 15 papers that have together received 505 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (5 papers), Lipoproteins and Cardiovascular Health (5 papers) and Cholesterol and Lipid Metabolism (4 papers). The work is most often cited by research in Immunology (194 citations), Endocrinology, Diabetes and Metabolism (91 citations) and Periodontics (20 citations). Zdena Škodová has collaborated with scholars based in Czechia, United Kingdom and Russia. Frequent co-authors include Jaroslav A. Hubáček, Jan Piťha, R. Poledne, Vladimír Staněk, Věra Adámková, Věra Lánská, Philippa J. Talmud, Věra Lánská, Steve E. Humphries and Dawn Waterworth. Their work appears in journals such as Circulation, PLoS ONE and Clinica Chimica Acta.

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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