Pavel Kraml

990 total citations
45 papers, 387 citations indexed

About

Pavel Kraml is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Epidemiology. According to data from OpenAlex, Pavel Kraml has authored 45 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Surgery, 11 papers in Cardiology and Cardiovascular Medicine and 9 papers in Epidemiology. Recurrent topics in Pavel Kraml's work include Lipoproteins and Cardiovascular Health (8 papers), Cardiovascular Disease and Adiposity (6 papers) and Adipokines, Inflammation, and Metabolic Diseases (6 papers). Pavel Kraml is often cited by papers focused on Lipoproteins and Cardiovascular Health (8 papers), Cardiovascular Disease and Adiposity (6 papers) and Adipokines, Inflammation, and Metabolic Diseases (6 papers). Pavel Kraml collaborates with scholars based in Czechia, United States and Slovakia. Pavel Kraml's co-authors include Jana Potočková, Michal Anděl, L Fialová, J Crkovská, Alena Nareika, Richard L. Klein, Maria F. Lopes‐Virella, Yan Huang, Martin Vejražka and Spyridon Gkalpakiotis and has published in prestigious journals such as International Journal of Obesity, International Journal of Environmental Research and Public Health and Atherosclerosis.

In The Last Decade

Pavel Kraml

39 papers receiving 372 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Pavel Kraml Czechia 12 109 70 65 64 63 45 387
Nick Wlazlo Netherlands 8 112 1.0× 42 0.6× 52 0.8× 47 0.7× 52 0.8× 14 363
Laurence Britton Australia 10 79 0.7× 45 0.6× 42 0.6× 32 0.5× 71 1.1× 20 327
Satoru Takada Japan 15 290 2.7× 26 0.4× 124 1.9× 55 0.9× 53 0.8× 76 576
Carine Prisco Arnoni Brazil 10 110 1.0× 41 0.6× 82 1.3× 105 1.6× 26 0.4× 42 354
Ai Inoue Japan 12 62 0.6× 48 0.7× 141 2.2× 29 0.5× 57 0.9× 18 385
Elisabeth Hertle Netherlands 9 61 0.6× 29 0.4× 66 1.0× 82 1.3× 39 0.6× 10 384
Maria Adele Alberelli Italy 9 133 1.2× 24 0.3× 168 2.6× 71 1.1× 31 0.5× 13 413
Fariborz Rashid-Kolvear Canada 9 114 1.0× 103 1.5× 254 3.9× 86 1.3× 61 1.0× 19 471
Shunji Hashizume Japan 5 64 0.6× 82 1.2× 85 1.3× 26 0.4× 38 0.6× 9 461
Alba Carrea Italy 15 61 0.6× 25 0.4× 224 3.4× 81 1.3× 82 1.3× 30 728

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
1.
Chovanec, Martin, et al.. (2021). Not Just a ‘Breath of Death’: Indirect Consequences of Working in a COVID-19 Unit. International Journal of Environmental Research and Public Health. 18(20). 10802–10802.
2.
Vráblík, Michal, Jan Piťha, V. Bláha, et al.. (2020). Stanovisko výboru České společnosti pro aterosklerózu k doporučením ESC/EAS pro diagnostiku a léčbu dyslipidemií z roku 2019. Cor et Vasa. 62(2). 185–197. 4 indexed citations
3.
Gkalpakiotis, Spyridon, et al.. (2020). Long‐term impact of adalimumab therapy on biomarkers of systemic inflammation in psoriasis: Results of a 2 year study. Dermatologic Therapy. 33(6). e14110–e14110. 6 indexed citations
4.
5.
Vráblík, Michal, Jan Piťha, V. Bláha, et al.. (2019). Stanovisko výboru České společnosti pro aterosklerózu k doporučením ESC/EAS pro diagnostiku a léčbu dyslipidemií z roku 2019. Vnitřní lékařství. 65(12). 743–754.
6.
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8.
Vráblík, Michal, Jan Piťha, V. Bláha, et al.. (2018). Stanovisko výboru České společnosti pro aterosklerózu k doporučením ESC/EAS pro diagnostiku a léčbu dyslipidemií z roku 2016. Vnitřní lékařství. 64(1). 9–16. 1 indexed citations
9.
Franeková, Janka, et al.. (2017). [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].. PubMed. 62(12). 1034–1040. 1 indexed citations
10.
Šiklová, Michaela, Michal Koc, Lenka Rossmeislová, & Pavel Kraml. (2017). Serum oxLDL–β2GPI complex reflects metabolic syndrome and inflammation in adipose tissue in obese. International Journal of Obesity. 42(3). 405–411. 3 indexed citations
11.
Anděl, Michal, et al.. (2017). [Annual monitoring of side effects of administering sitagliptin in patients with type 2 diabetes mellitus].. PubMed. 62(6). 455–61. 1 indexed citations
12.
Plátenı́k, Jan, et al.. (2017). The Labile Iron Pool in Monocytes Reflects the Activity of the Atherosclerotic Process in Men With Chronic Cardiovascular Disease. Physiological Research. 66(1). 49–61. 11 indexed citations
13.
Soška, Vladimír, Michal Vráblík, V. Bláha, et al.. (2016). [PCSK9 inhibitors - new possibilities in the treatment of hypercholesterolemia: For which patients will be indicated?Czech atherosclerosis society statement].. PubMed. 62(4). 329–33. 1 indexed citations
14.
Soška, Vladimír, H Vaverková, Michal Vráblík, et al.. (2013). Stanovisko výboru ČSAT k doporučením ESC/EAS pro diagnostiku a léčbu dyslipidemií z roku 2011. Interní medicína pro praxi. 15(10). 322–326.
15.
Kraml, Pavel, L Fialová, Martin Vejražka, et al.. (2011). Iron stores are associated with asymptomatic atherosclerosis in healthy men of primary prevention. European Journal of Clinical Investigation. 41(8). 846–853. 27 indexed citations
16.
Kraml, Pavel, Jana Potočková, L Fialová, et al.. (2009). Relationship between Increased Body Iron Stores, Oxidative Stress and Insulin Resistance in Healthy Men. Annals of Nutrition and Metabolism. 54(4). 268–274. 41 indexed citations
17.
Dlouhý, Pavel, Petr Kučera, Pavel Kraml, et al.. (2008). Short-Term Dietary Intake of C18:1 Trans Fatty Acids Decreases the Function of Cellular Immunity in Healthy Young Men. Annals of Nutrition and Metabolism. 53(2). 129–136. 7 indexed citations
18.
Anděl, Michal, W Grzeszczak, Joel Michalek, et al.. (2008). A multinational, multi‐centre, observational, cross‐sectional survey assessing diabetes secondary care in Central and Eastern Europe (DEPAC Survey). Diabetic Medicine. 25(10). 1195–1203. 33 indexed citations
19.
Kraml, Pavel, Richard L. Klein, Yan Huang, Alena Nareika, & Maria F. Lopes‐Virella. (2005). Iron loading increases cholesterol accumulation and macrophage scavenger receptor I expression in THP-1 mononuclear phagocytes. Metabolism. 54(4). 453–459. 48 indexed citations
20.
Kraml, Pavel, et al.. (2004). Hyperlipoproteinemia impairs endothelium-dependent vasodilation.. PubMed. 53(5). 471–80. 12 indexed citations

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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