David M. Raffel

2.2k citations
59 papers · 1.6k indexed · h-index 23

David M. Raffel

58 papers receiving 1.6k citations

Peers

David M. Raffel
Comparison fields: 5 of 87
  • Cardiology and Cardiovascular Medicine 725
  • Radiology, Nuclear Medicine and Imaging 592
  • Neurology 242
  • Cellular and Molecular Neuroscience 211
  • Pharmaceutical Science 69
Replace Jean N. DaSilva with:
Jean N. DaSilva Canada
D.M. Wieland United States
Karen C. Rosenspire United States
Bengt Långström Sweden
Andrew A. Wolff United States
Michael C. Tobes United States
Yoshiaki Shimada Japan
Yuying C. Hwang United States
David L. Gildersleeve United States
G. Firnau Canada
David M. Raffel relative to Jean N. DaSilva Canada Jean N. DaSilva's profile →
Citations per field
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Jean N. DaSilva · 1×
Citations per year

Countries citing papers authored by David M. Raffel

Since Specialization
Citations

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

Fields of papers citing papers by David M. Raffel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David M. Raffel. 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 David M. Raffel. The network helps show where David M. Raffel may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20245
2 20241
3 20243
4 20232
5 20230
6 20221
7 20216
8 201714
9 201620
10 201314
11
Abstract 15606: Left Ventricle Function and Sympathetic Innervation in Type 1 Diabetes
20111
12 201037
13 200919
14 2004126
15
Evaluation of cardiac beta-adrenoreceptors in the isolated perfused rat heart using (S)-11C-CGP12388.
200421
16 200152
17 200010
18 199810
19 19957
20 198916

About David M. Raffel

David M. Raffel is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Biochemistry, having authored 59 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (16 papers), Medical Imaging Techniques and Applications (13 papers), Cardiac electrophysiology and arrhythmias (11 papers), Heart Rate Variability and Autonomic Control (10 papers), Advanced MRI Techniques and Applications (9 papers), Pharmacological Receptor Mechanisms and Effects (7 papers), Cardiovascular Function and Risk Factors (7 papers) and Receptor Mechanisms and Signaling (6 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (725 citations), Radiology, Nuclear Medicine and Imaging (592 citations) and Neurology (242 citations). David M. Raffel has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Donald M. Wieland, Robert A. Koeppe, Kevin C. Allman, Markus Schwaiger, Martin J. Stevens, Kirk A. Frey, Yong‐Woon Jung, Firat Dayanikli, Rodica Pop‐Busui and Phillip Sherman. Their work appears in journals such as Circulation, Journal of the American College of Cardiology and Radiology.

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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