Daniel Rajdl

840 total citations
52 papers, 588 citations indexed

About

Daniel Rajdl is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Nephrology. According to data from OpenAlex, Daniel Rajdl has authored 52 papers receiving a total of 588 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cardiology and Cardiovascular Medicine, 8 papers in Surgery and 8 papers in Nephrology. Recurrent topics in Daniel Rajdl's work include Acute Myocardial Infarction Research (9 papers), Cardiovascular Effects of Exercise (7 papers) and Cardiac electrophysiology and arrhythmias (6 papers). Daniel Rajdl is often cited by papers focused on Acute Myocardial Infarction Research (9 papers), Cardiovascular Effects of Exercise (7 papers) and Cardiac electrophysiology and arrhythmias (6 papers). Daniel Rajdl collaborates with scholars based in Czechia, Germany and Netherlands. Daniel Rajdl's co-authors include Ladislav Trefil, Jaroslav Ráček, Jaromír Eiselt, Konrad Siala, Richard Rokyta, Milan Hromádka, Jitka Seidlerová, Jitka Švíglerová, Jan Baxa and Lukáš Nalos and has published in prestigious journals such as Clinical Chemistry, Nutrients and Experimental Biology and Medicine.

In The Last Decade

Daniel Rajdl

47 papers receiving 574 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Rajdl Czechia 13 144 90 84 81 79 52 588
Hedong Han China 14 138 1.0× 74 0.8× 82 1.0× 109 1.3× 43 0.5× 54 824
Fatih Oğuz Türkiye 14 110 0.8× 72 0.8× 75 0.9× 47 0.6× 99 1.3× 42 638
Éva Csongrádi Hungary 13 67 0.5× 52 0.6× 178 2.1× 72 0.9× 38 0.5× 34 585
Dion Groothof Netherlands 14 70 0.5× 82 0.9× 149 1.8× 192 2.4× 28 0.4× 47 816
Daan Kremer Netherlands 12 160 1.1× 104 1.2× 92 1.1× 72 0.9× 16 0.2× 70 671
Areti Makedou Greece 14 98 0.7× 236 2.6× 104 1.2× 117 1.4× 46 0.6× 27 806
Yüksel Kaya Türkiye 12 117 0.8× 51 0.6× 75 0.9× 30 0.4× 20 0.3× 39 481
Germán T. Hernández United States 12 97 0.7× 163 1.8× 92 1.1× 20 0.2× 55 0.7× 38 614
Gülsüm Özkan Türkiye 13 101 0.7× 102 1.1× 99 1.2× 51 0.6× 37 0.5× 54 545

Countries citing papers authored by Daniel Rajdl

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Rajdl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Rajdl

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Rajdl. A scholar is included among the top collaborators of Daniel Rajdl 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 Daniel Rajdl. Daniel Rajdl 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.
Trefil, Ladislav, et al.. (2024). Comparison of two methods for dimethylarginines quantification. Practical Laboratory Medicine. 39. e00359–e00359. 2 indexed citations
2.
Tolios, Alexander, et al.. (2023). Digital competence in laboratory medicine. Journal of Laboratory Medicine. 47(4). 143–148. 5 indexed citations
3.
Trefil, Ladislav, et al.. (2023). False positive result of human chorionic gonadotropin caused by human anti-mouse antibodies. Biochemia Medica. 33(1). 82–86. 2 indexed citations
4.
Rokyta, Richard, et al.. (2023). Arrhythmias and laboratory abnormalities after an electrical accident: a single-center, retrospective study of 333 cases. Clinical Research in Cardiology. 112(12). 1835–1847. 5 indexed citations
5.
Brož, Pavel, et al.. (2023). Macrotroponins cause discrepancy in high-sensitivity examination. Biomedical Papers. 168(2). 187–190. 3 indexed citations
6.
Švíglerová, Jitka, Zdeněk Tůma, Lukáš Nalos, et al.. (2022). Mitochondrial Dysfunction in Kidney Cortex and Medulla of Subtotally Nephrectomized Rat. Physiological Research. 71(Suppl. 2). S219–S226. 4 indexed citations
7.
Jehlička, Petr, et al.. (2018). How To Interpret Elevated Plasmatic Level of High-Sensitive Troponin T in Newborns and Infants?. Physiological Research. 67(2). 191–195. 10 indexed citations
8.
Brož, Pavel, Daniel Rajdl, Jaroslav Novák, et al.. (2018). High-Sensitivity Troponins after a Standardized 2-Hour Treadmill Run. Journal of Medical Biochemistry. 37(3). 364–372. 5 indexed citations
9.
Hromádka, Milan, Jitka Seidlerová, D. Suchý, et al.. (2017). Myocardial fibrosis detected by magnetic resonance in systemic sclerosis patients – Relationship with biochemical and echocardiography parameters. International Journal of Cardiology. 249. 448–453. 41 indexed citations
10.
Hromádka, Milan, et al.. (2016). Incidence of severe coronary stenosis in asymptomatic patients with peripheral arterial disease scheduled for major vascular surgery.. PubMed. 35(4). 411–7. 1 indexed citations
11.
Eiselt, Jaromír, et al.. (2016). Previous Vaccination and Age are More Important Predictors of Immune Response to Influenza Vaccine than Inflammation and Iron Status in Dialysis Patients. Kidney & Blood Pressure Research. 41(2). 139–147. 8 indexed citations
12.
Hromádka, Milan, Jitka Seidlerová, Jan Baxa, et al.. (2016). Relationship between hsTnI and coronary stenosis in asymptomatic women with rheumatoid arthritis. BMC Cardiovascular Disorders. 16(1). 184–184. 7 indexed citations
13.
Ráček, Jaroslav, et al.. (2013). Relationship between hepcidin and ferritin in haemodialysed patients. Wiener klinische Wochenschrift. 125(15-16). 448–452. 6 indexed citations
14.
Hromádka, Milan, Daniel Rajdl, Ladislav Trefil, Jaroslav Ráček, & Richard Rokyta. (2012). Diagnostic sensitivity of high-sensitivity troponin T in acute myocardial infarction in patients with chest pain. Cor et Vasa. 54(7-8). e227–e231. 1 indexed citations
15.
Švíglerová, Jitka, Jitka Kuncová, Lukáš Nalos, et al.. (2010). Cardiovascular parameters in rat model of chronic renal failure induced by subtotal nephrectomy. Physiological Research. 59 Suppl 1. S81–S88. 37 indexed citations
16.
Kuncová, Jitka, Jitka Švíglerová, Wolfgang Kummer, et al.. (2009). Parasympathetic regulation of heart rate in rats after 5/6 nephrectomy is impaired despite functionally intact cardiac vagal innervation. Nephrology Dialysis Transplantation. 24(8). 2362–2370. 7 indexed citations
17.
Rajdl, Daniel, et al.. (2007). Effect of white wine consumption on oxidative stress markers and homocysteine levels. Physiological Research. 56(2). 203–212. 36 indexed citations
18.
Cibulka, Roman, et al.. (2007). Effect of L-Carnitine Supplementation on Secondary Hyperparathyroidism and Bone Metabolism in Hemodialyzed Patients. Calcified Tissue International. 81(2). 99–106. 8 indexed citations
19.
Ráček, Jaroslav, et al.. (2006). Brain Natriuretic Peptide and N-Terminal proBNP in Chronic Haemodialysis Patients. Nephron Clinical Practice. 103(4). c162–c172. 51 indexed citations
20.
Trefil, Ladislav, Daniel Rajdl, Jaroslav Ráček, et al.. (2005). Asymmetric dimethylarginine, homocysteine and renal function – is there a relation?. Clinical Chemistry and Laboratory Medicine (CCLM). 43(10). 1147–50. 6 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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