Daniel Rajdl

840 citations
52 papers · 588 indexed · h-index 13

Impact in

Papers in

    • Acute Myocardial Infarction Research 9
    • Cardiovascular Effects of Exercise 7
    • Cardiac electrophysiology and arrhythmias 6
    • Heart Failure Treatment and Management 4
    • Renin-Angiotensin System Studies 3

Daniel Rajdl

47 papers receiving 574 citations

Peers

Daniel Rajdl
Comparison fields: 5 of 98
  • Nephrology 90
  • Cardiology and Cardiovascular Medicine 144
  • Pharmacy 30
  • Health Informatics 8
  • Clinical Biochemistry 32
Replace Pierre Douville with:
Pierre Douville Canada
Éva Csongrádi Hungary
Charles A. Reasner United States
Heng Guo China
William P. Baldus United States
Eleni Geladari Greece
Marc Ferrini France
Ana Stavljenić-Rukavina Croatia
J.A. Gómez-Gerique Spain
Marina Toutouza Greece
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Daniel Rajdl, 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 Daniel Rajdl Line = papers co-authored together Daniel Rajdl links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200668
2 200651
3 200543
4 201741
5 201037
6 200736
7 201436
8 201624
9
Practical guide for identifying unmet clinical needs for biomarkers.
201824
10 201022
11 201618
12 201915
13 201312
14 202411
15 202211
16 201810
17 20129
18 20078
19 20168
20 20097

About Daniel Rajdl

Daniel Rajdl is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Nephrology, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 52 papers that have together received 588 indexed citations. Recurring topics across this work include Acute Myocardial Infarction Research (9 papers), Cardiovascular Effects of Exercise (7 papers), Cardiac electrophysiology and arrhythmias (6 papers), Heart Failure Treatment and Management (4 papers), Folate and B Vitamins Research (4 papers), Dialysis and Renal Disease Management (4 papers), Renin-Angiotensin System Studies (3 papers) and Cardiac Imaging and Diagnostics (3 papers). The work is most often cited by research in Nephrology (90 citations), Cardiology and Cardiovascular Medicine (144 citations), Pharmacy (30 citations), Health Informatics (8 citations) and Clinical Biochemistry (32 citations). Daniel Rajdl has collaborated with scholars based in Czechia, Germany and Netherlands. Frequent co-authors include Ladislav Trefil, Jaroslav Ráček, Jaromír Eiselt, Konrad Siala, Richard Rokyta, Milan Hromádka, Lukáš Nalos, Milan Štengl, Jitka Švíglerová and Jitka Seidlerová. Their work appears in journals such as Physiological Research, Clinical Chemistry and Laboratory Medicine (CCLM), Kidney & Blood Pressure Research, Biochemia Medica and Biomedicines.

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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