Pavel Kraml

990 citations
45 papers · 387 indexed · h-index 12
Topics
Lipoproteins and Cardiovascular Health (8 papers)Cardiovascular Disease and Adiposity (6 papers)Adipokines, Inflammation, and Metabolic Diseases (6 papers)

In The Last Decade

Pavel Kraml

39 papers receiving 372 citations

Peers

Pavel Kraml
Comparison fields: 5 of 76
  • Hematology 109
  • Endocrinology, Diabetes and Metabolism 70
  • Molecular Biology 65
  • Physiology 64
  • Surgery 63
Replace Nick Wlazlo with:
Nick Wlazlo Netherlands
Alba Carrea Italy
Carine Prisco Arnoni Brazil
Satoru Takada Japan
Wei-Fang Huang China
Maria Adele Alberelli Italy
Fariborz Rashid-Kolvear Canada
Job D. Elema Netherlands
Sema Karakuş Türkiye
B J Zitelli United States
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Citations per field
00.5×1.7×
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Citations per year

Countries citing papers authored by Pavel Kraml

Since Specialization
Citations

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

Fields of papers citing papers by Pavel Kraml

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pavel Kraml

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 6
3 4
4 0
5 10
6 1
7 6
8
[The common position of the Czech professional associations on the consensus of the European Atherosclerosis Society and the European Federation of Clinical Chemistry and Laboratory Medicine regarding investigation on blood lipids and interpretation of their levels].
1
9 3
10
[PCSK9 inhibitors - new possibilities in the treatment of hypercholesterolemia: For which patients will be indicated?Czech atherosclerosis society statement].
1
11
Stanovisko výboru ČSAT k doporučením ESC/EAS pro diagnostiku a léčbu dyslipidemií z roku 2011
0
12 4
13 27
14 41
15 7
16 33
17 2
18 1
19 48
20
Hyperlipoproteinemia impairs endothelium-dependent vasodilation.
12

About Pavel Kraml

Pavel Kraml is a scholar working on Hematology, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism, having authored 45 papers that have together received 387 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (8 papers), Cardiovascular Disease and Adiposity (6 papers) and Adipokines, Inflammation, and Metabolic Diseases (6 papers). The work is most often cited by research in Hematology (109 citations), Genetics (59 citations) and Endocrinology, Diabetes and Metabolism (70 citations). Pavel Kraml has collaborated with scholars based in Czechia, United States and Austria. Frequent co-authors include Jana Potočková, Michal Anděl, L Fialová, J Crkovská, Alena Nareika, Yan Huang, Richard L. Klein, Maria F. Lopes‐Virella, Martin Vejražka and Spyridon Gkalpakiotis. Their work appears in journals such as International Journal of Obesity, International Journal of Environmental Research and Public Health and Atherosclerosis.

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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