S. Kazda

1.9k citations
86 papers · 1.6k · h-index 20

Impact in

Papers in

S. Kazda

82 papers receiving 1.4k citations

Peers

S. Kazda
Comparison fields: 5 of 96
  • Cardiology and Cardiovascular Medicine 489
  • Cellular and Molecular Neuroscience 353
  • Neurology 256
  • Physiology 367
  • Neurology 95
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Citations per field
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Citations per year

Countries citing papers authored by S. Kazda

Since Specialization
Citations

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

Fields of papers citing papers by S. Kazda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1982166
2 1981139
3
Cerebrovascular effects of the calcium antagonistic dihydropyridine derivative nimodipine in animal experiments.
1982124
4 1975122
5 1988118
6
The effects of nimodipine, its optical isomers and metabolites on isolated vascular smooth muscle.
198282
7 198971
8 197947
9 198342
10
Nitrendipine and other calcium entry blockers (calcium antagonists) in hypertension.
198339
11 199034
12
Pharmacological studies of the antihypertensive effect of nitrendipine.
198129
13 198227
14 198626
15 198923
16 198722
17 198721
18 196921
19
Mitogenic activity of endothelin-1 and -3 on vascular smooth muscle cells is inhibited by atrial natriuretic peptides.
199020
20 198220

About S. Kazda

S. Kazda is a scholar working on Cardiology and Cardiovascular Medicine, Biochemistry, Physiology, Pediatrics, Perinatology and Child Health and Endocrine and Autonomic Systems, having authored 86 papers that have together received 1.6k indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (17 papers), Nitric Oxide and Endothelin Effects (11 papers), Heart Failure Treatment and Management (8 papers), Eicosanoids and Hypertension Pharmacology (7 papers), Pharmacological Effects and Toxicity Studies (6 papers), Receptor Mechanisms and Signaling (5 papers), Hormonal Regulation and Hypertension (4 papers) and Blood Pressure and Hypertension Studies (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (489 citations), Cellular and Molecular Neuroscience (353 citations), Neurology (256 citations), Physiology (367 citations) and Neurology (95 citations). S. Kazda has collaborated with scholars based in Germany, United States and Czechia. Frequent co-authors include Robertson Towart, B Garthoff, Dieter Neuser, Alice M Harper, Matthias Schramm, J.-P. Stasch, KARL SCHLOSSMANN, Winifred G. Nayler, Martin Morad and Bernward Garthoff. Their work appears in journals such as Journal of Cardiovascular Pharmacology, European Journal of Pharmacology, Clinical and Experimental Hypertension, Journal of Hypertension and Cardiovascular Drug Reviews.

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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