D. Scherer

51 papers receiving 871 citations

Peers

D. Scherer
Comparison fields: 5 of 86
  • Cardiology and Cardiovascular Medicine 369
  • Endocrinology, Diabetes and Metabolism 151
  • Surgery 342
  • Cancer Research 85
  • Molecular Biology 359
Replace Carole Amant with:
Carole Amant France
Alfonso Campanile Italy
Estefanía Tarazón Spain
Eiji Yahiro Japan
Elaine J. Tanhehco United States
Jon Vincelette United States
Xiuren Gao China
Boris Aleil France
Gloria Francolini Italy
Wenfeng Miao United States
D. Scherer relative to Carole Amant France Carole Amant's profile →
Citations per field
00.5×
Carole Amant · 1×
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 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018140
2 201898
3 200774
4 200448
5 201744
6 200932
7 200931
8 200727
9 201326
10 200726
11 200524
12 202023
13 201723
14 201318
15 198216
16 201615
17 200814
18 201713
19 201112
20 201612

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 55 papers that have together received 886 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (23 papers), Ion channel regulation and function (20 papers), Neuroscience and Neural Engineering (9 papers), Lipoproteins and Cardiovascular Health (9 papers), Cardiac Imaging and Diagnostics (7 papers), Coronary Interventions and Diagnostics (7 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers) and Cardiac pacing and defibrillation studies (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (369 citations), Endocrinology, Diabetes and Metabolism (151 citations), Surgery (342 citations), Cancer Research (85 citations) and Molecular Biology (359 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, Claudia Seyler, John J.P. Kastelein, Eberhard P. Scholz and Steven E. Nissen. Their work appears in journals such as Naunyn-Schmiedeberg s Archives of Pharmacology, European Heart Journal, Journal of Molecular and Cellular Cardiology, JACC Asia and Drug Design Development and Therapy.

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.

Explore authors with similar magnitude of impact