D. Scherer

51 papers receiving 898 citations

Peers

D. Scherer
Comparison fields: 5 of 84
  • Cardiology and Cardiovascular Medicine 343
  • Endocrinology, Diabetes and Metabolism 129
  • Surgery 298
  • Cancer Research 80
  • Molecular Biology 335
Replace Takeyoshi Murano with:
Takeyoshi Murano Japan
Estefanía Tarazón Spain
Corinne Berthonneche Switzerland
Xiuren Gao China
Carole Amant France
Eiji Yahiro Japan
Audrey Ginion Belgium
Michael Schwarzer Germany
Charles V. Jackson United States
Winfried Göettsch Germany
D. Scherer relative to Takeyoshi Murano Japan Takeyoshi Murano's profile →
Citations per field
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Citations per year

Countries citing papers authored by D. Scherer

Since Specialization
Citations

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

Fields of papers citing papers by D. Scherer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018144
2 201899
3 200774
4 200451
5 201744
6 200935
7 200932
8 200727
9 201327
10 200726
11 202025
12 201724
13 200524
14 201319
15 197919
16 198219
17 200815
18 201615
19 201713
20
[Diameter changes of epicardial coronary arteries and coronary stenoses after intracoronary application of SIN 1, a molsidomine metabolite].
198313

About D. Scherer

D. Scherer is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Surgery, Cellular and Molecular Neuroscience and Radiology, Nuclear Medicine and Imaging, having authored 54 papers that have together received 923 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (19 papers), Ion channel regulation and function (16 papers), Neuroscience and Neural Engineering (7 papers), Lipoproteins and Cardiovascular Health (6 papers), Coronary Interventions and Diagnostics (4 papers), Cardiac pacing and defibrillation studies (4 papers), Receptor Mechanisms and Signaling (4 papers) and Cardiac Imaging and Diagnostics (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (343 citations), Endocrinology, Diabetes and Metabolism (129 citations), Surgery (298 citations), Cancer Research (80 citations) and Molecular Biology (335 citations). D. Scherer has collaborated with scholars based in Germany, Australia and United States. Frequent co-authors include Stephen J. Nicholls, Hugo A. Katus, Edgar Zitron, Dierk Thomas, Christoph A. Karle, Peter J. Psaltis, Eberhard P. Scholz, Claudia Seyler, John J.P. Kastelein and Jordan Andrews. Their work appears in journals such as Naunyn-Schmiedeberg s Archives of Pharmacology, European Heart Journal, Journal of the American College of Cardiology, Drug Design Development and Therapy and Journal of Molecular and Cellular Cardiology.

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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