J.-P. Stasch

877 citations
40 papers · 754 · h-index 13

Impact in

Papers in

J.-P. Stasch

37 papers receiving 708 citations

Peers

J.-P. Stasch
Comparison fields: 5 of 72
  • Cardiology and Cardiovascular Medicine 324
  • Physiology 249
  • Pulmonary and Respiratory Medicine 223
  • Biochemistry 44
  • Endocrinology, Diabetes and Metabolism 70
Replace H. Meyer-Lehnert with:
H. Meyer-Lehnert Germany
Eva Maria Becker Germany
Harald Lapp Germany
Maurizio Cappelli-Bigazzi Italy
Stuart J. Netherton Canada
Yoshikatsu Tabuchi Japan
Takenobu Kamada Japan
Serge Adnot France
B M Löffler Switzerland
Hiroharu Funaya Japan
J.-P. Stasch relative to H. Meyer-Lehnert Germany H. Meyer-Lehnert's profile →
Citations per field
00.5×10×20×31×
H. Meyer-Lehnert · 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-authors

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

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008195
2 198971
3 200759
4 200358
5 201046
6 198939
7 201529
8
Role of neutral endopeptidase 24.11 in AV fistular rat model of heart failure.
199625
9 198624
10 198924
11 199423
12 198722
13 198816
14 198712
15 202012
16 198711
17 199510
18 198710
19 19859
20 19877

About J.-P. Stasch

J.-P. Stasch is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Physiology and Cellular and Molecular Neuroscience, having authored 40 papers that have together received 754 indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (7 papers), Receptor Mechanisms and Signaling (5 papers), Heart Failure Treatment and Management (5 papers), Electrolyte and hormonal disorders (4 papers), Neuropeptides and Animal Physiology (4 papers), Blood Pressure and Hypertension Studies (3 papers), Renin-Angiotensin System Studies (3 papers) and Renal function and acid-base balance (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (324 citations), Physiology (249 citations), Pulmonary and Respiratory Medicine (223 citations), Biochemistry (44 citations) and Endocrinology, Diabetes and Metabolism (70 citations). J.-P. Stasch has collaborated with scholars based in Germany, Czechia and Brazil. Frequent co-authors include D. Neuser, S. Kazda, Claudia Hirth‐Dietrich, Werner Seeger, S. Kazda, Hossein Ardeschir Ghofrani, Joachim Mittendorf, Ralph T. Schermuly, Norbert Weißmann and Friedrich Grimminger. Their work appears in journals such as Journal of Cardiovascular Pharmacology, Life Sciences, Hypertension, European Respiratory Journal and BMC Pharmacology and Toxicology.

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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