S. Kazda

1.9k citations
79 papers · 1.4k · h-index 18

Impact in

Papers in

S. Kazda

76 papers receiving 1.3k citations

Peers

S. Kazda
Comparison fields: 5 of 91
  • Cardiology and Cardiovascular Medicine 428
  • Cellular and Molecular Neuroscience 313
  • Neurology 227
  • Physiology 317
  • Neurology 85
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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 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1982151
2 1981122
3 1975112
4
Cerebrovascular effects of the calcium antagonistic dihydropyridine derivative nimodipine in animal experiments.
1982110
5 198899
6
The effects of nimodipine, its optical isomers and metabolites on isolated vascular smooth muscle.
198273
7 198968
8 197944
9 198338
10
Nitrendipine and other calcium entry blockers (calcium antagonists) in hypertension.
198336
11 199033
12
Pharmacological studies of the antihypertensive effect of nitrendipine.
198128
13 198624
14 198921
15 198221
16 196918
17 198718
18 198218
19 198717
20
Mitogenic activity of endothelin-1 and -3 on vascular smooth muscle cells is inhibited by atrial natriuretic peptides.
199017

About S. Kazda

S. Kazda is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Physiology, Biochemistry and Pediatrics, Perinatology and Child Health, having authored 79 papers that have together received 1.4k indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (17 papers), Nitric Oxide and Endothelin Effects (12 papers), Heart Failure Treatment and Management (8 papers), Eicosanoids and Hypertension Pharmacology (7 papers), Receptor Mechanisms and Signaling (5 papers), Hormonal Regulation and Hypertension (4 papers), Pharmacological Effects and Toxicity Studies (4 papers) and Traumatic Brain Injury and Neurovascular Disturbances (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (428 citations), Cellular and Molecular Neuroscience (313 citations), Neurology (227 citations), Physiology (317 citations) and Neurology (85 citations). S. Kazda has collaborated with scholars based in Germany, Czechia and United States. Frequent co-authors include R. Towart, D. Neuser, B Garthoff, A. M. Harper, J.-P. Stasch, Matthias Schramm, K Schlossmann, Martin Morad, Winifred G. Nayler and Bernward Garthoff. Their work appears in journals such as Journal of Cardiovascular Pharmacology, European Journal of Pharmacology, Cardiovascular Drug Reviews, Journal of Hypertension and American Journal of Physiology-Legacy Content.

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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