David Rampe

5.7k citations
84 papers · 4.4k indexed · h-index 37

Impact in

Papers in

David Rampe

83 papers receiving 4.1k citations

Peers

David Rampe
Comparison fields: 5 of 122
  • Cardiology and Cardiovascular Medicine 2.4k
  • Cellular and Molecular Neuroscience 1.3k
  • Molecular Biology 3.1k
  • Physiology 135
  • Toxicology 81
Replace Robert Ruffolo with:
Robert Ruffolo United States
Icilio Cavero France
Jean‐Pierre Maffrand France
Pieter B.M.W.M. Timmermans United States
John A. Peters United Kingdom
Taku Nagao Japan
Victor J. Lotti United States
Pieter A. van Zwieten Netherlands
Henry J. Duff Canada
Alberto J. Kaumann United Kingdom
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 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989247
2 1997244
3 1988237
4 2001224
5 2004209
6 2002188
7 2003168
8 1998142
9 2004132
10 2003132
11 2000122
12 1993111
13 2003108
14 1989108
15 199194
16 200687
17 198487
18 200476
19 200073
20 200172

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 84 papers that have together received 4.4k indexed citations. Recurring topics across this work include Ion channel regulation and function (66 papers), Cardiac electrophysiology and arrhythmias (54 papers), Neuroscience and Neuropharmacology Research (24 papers), Receptor Mechanisms and Signaling (15 papers), Neuroscience and Neural Engineering (7 papers), Cardiac Arrhythmias and Treatments (5 papers), Synthesis and Biological Evaluation (5 papers) and Chemical synthesis and alkaloids (4 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 (3.1k citations), Physiology (135 citations) and Toxicology (81 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, European Journal of Pharmacology and Trends in Pharmacological Sciences.

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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