J.-P. Stasch

877 citations
31 papers · 696 indexed · h-index 13

J.-P. Stasch

30 papers receiving 666 citations

Peers

J.-P. Stasch
Comparison fields: 5 of 74
  • Cardiology and Cardiovascular Medicine 340
  • Physiology 256
  • Pulmonary and Respiratory Medicine 227
  • Biochemistry 44
  • Endocrinology, Diabetes and Metabolism 84
Replace Eva Maria Becker with:
Eva Maria Becker Germany
H. Meyer-Lehnert Germany
Andrew L. McCarthy United Kingdom
Yoshikatsu Tabuchi Japan
János Pataricza Hungary
Arun Samidurai United States
Junko Kajikuri Japan
Toshiko Kanbe Japan
Kohsuke Uchida Japan
J A Bevan United States
J.-P. Stasch relative to Eva Maria Becker Germany Eva Maria Becker's profile →
Citations per field
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Eva Maria Becker · 1×
Citations per year

Countries citing papers authored by J.-P. Stasch

Since Specialization
Citations

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

Fields of papers citing papers by J.-P. Stasch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.-P. Stasch. 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 J.-P. Stasch. The network helps show where J.-P. Stasch may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202012
2 201528
3 201044
4 2008188
5 200756
6 20053
7 200355
8 19959
9 19912
10 19913
11 19902
12
Therapy of diseased stroke-prone spontaneously hypertensive rats with nimodipine.
19904
13 198968
14 198923
15 198815
16 19877
17 198717
18 19874
19 19877
20 19848

About J.-P. Stasch

J.-P. Stasch is a scholar working on Cardiology and Cardiovascular Medicine, Physiology, Nephrology, Pulmonary and Respiratory Medicine and Pediatrics, Perinatology and Child Health, having authored 31 papers that have together received 696 indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (7 papers), Heart Failure Treatment and Management (6 papers), Radiopharmaceutical Chemistry and Applications (3 papers), Electrolyte and hormonal disorders (3 papers), Receptor Mechanisms and Signaling (3 papers), Renal function and acid-base balance (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Peptidase Inhibition and Analysis (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (340 citations), Physiology (256 citations), Pulmonary and Respiratory Medicine (227 citations), Biochemistry (44 citations) and Endocrinology, Diabetes and Metabolism (84 citations). J.-P. Stasch has collaborated with scholars based in Germany, Czechia and Japan. Frequent co-authors include D. Neuser, S. Kazda, Claudia Hirth‐Dietrich, Joachim Mittendorf, Werner Seeger, Ralph T. Schermuly, Friedrich Grimminger, Hossein Ardeschir Ghofrani, Norbert Weißmann and S. Kazda. Their work appears in journals such as Journal of Cardiovascular Pharmacology, Life Sciences, European Respiratory Journal, Hypertension and Journal of Pharmacology and Experimental Therapeutics.

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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