David Rampe

5.7k citations
85 papers · 4.7k · h-index 38

Impact in

Papers in

David Rampe

84 papers receiving 4.4k citations

Peers

David Rampe
Comparison fields: 5 of 123
  • Cardiology and Cardiovascular Medicine 2.4k
  • Cellular and Molecular Neuroscience 1.3k
  • Molecular Biology 3.0k
  • Physiology 137
  • Toxicology 77
Replace Robert Ruffolo with:
Robert Ruffolo United States
Taku Nagao Japan
Icilio Cavero France
Pieter B.M.W.M. Timmermans United States
Jean‐Pierre Maffrand France
Pieter A. van Zwieten Netherlands
Alberto J. Kaumann United Kingdom
Henry J. Duff Canada
J.W. Black United Kingdom
Julius Gy. Papp Hungary
David Rampe relative to Robert Ruffolo United States Robert Ruffolo's profile →
Citations per field
00.5×3.2×
Robert Ruffolo · 1×
Citations per year

Countries citing papers authored by David Rampe

Since Specialization
Citations

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

Fields of papers citing papers by David Rampe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989278
2 1997255
3 1988251
4 2001244
5 2004217
6 2002195
7 2003178
8 1998149
9 2004141
10 2003137
11 2000127
12 1993122
13 2003113
14 1989113
15 199199
16 200699
17 198495
18 198481
19 200480
20 201378

About David Rampe

David Rampe is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Organic Chemistry and Pharmacology, having authored 85 papers that have together received 4.7k indexed citations. Recurring topics across this work include Ion channel regulation and function (65 papers), Cardiac electrophysiology and arrhythmias (53 papers), Neuroscience and Neuropharmacology Research (24 papers), Receptor Mechanisms and Signaling (15 papers), Neuroscience and Neural Engineering (7 papers), Coordination Chemistry and Organometallics (5 papers), Chemical synthesis and alkaloids (5 papers) and Synthesis and Biological Evaluation (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (2.4k citations), Cellular and Molecular Neuroscience (1.3k citations), Molecular Biology (3.0k citations), Physiology (137 citations) and Toxicology (77 citations). David Rampe has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Arthur Brown, Jiesheng Kang, David J. Triggle, Antonio E. Lacerda, Roy J. Vaz, Lin Wang, Adrienne T. Dennis, Xiaoliang Chen, Richard C. Dage and Mary Louise Roy. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, Molecular Pharmacology, Bioorganic & Medicinal Chemistry Letters, Trends in Pharmacological Sciences and European Journal of Pharmacology.

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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