Robert D. Harvey

3.8k citations
74 papers · 3.0k indexed · h-index 33

Impact in

Papers in

Robert D. Harvey

74 papers receiving 2.9k citations

Peers

Robert D. Harvey
Comparison fields: 5 of 110
  • Cardiology and Cardiovascular Medicine 1.6k
  • Cellular and Molecular Neuroscience 863
  • Molecular Biology 2.5k
  • Physiology 70
  • Physiology 302
Replace Shinichiro Kokubun with:
Shinichiro Kokubun Japan
Yuejin Wu United States
Y. Shimoni Canada
Rui-Ping Xiao United States
Hermann Nawrath Germany
Sabine Sewing Switzerland
Julie Bossuyt United States
Heinz Gögelein Germany
Natalia Shirokova United States
Sanda Despa United States
Robert D. Harvey relative to Shinichiro Kokubun Japan Shinichiro Kokubun's profile →
Citations per field
00.5×10×15×19.7×
Shinichiro Kokubun · 1×
Citations per year

Countries citing papers authored by Robert D. Harvey

Since Specialization
Citations

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

Fields of papers citing papers by Robert D. Harvey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20243
2 20181
3 201779
4 201640
5 201467
6 201266
7 201171
8 201060
9 200869
10 200772
11 200556
12 2005393
13 200516
14 200132
15 199710
16 199345
17 199321
18 198932
19 198877
20 19881

About Robert D. Harvey

Robert D. Harvey is a scholar working on Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Molecular Biology, Cell Biology and Physiology, having authored 74 papers that have together received 3.0k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (53 papers), Ion channel regulation and function (48 papers), Receptor Mechanisms and Signaling (30 papers), Phosphodiesterase function and regulation (18 papers), Neuroscience and Neuropharmacology Research (15 papers), Neuroscience and Neural Engineering (6 papers), Nitric Oxide and Endothelin Effects (4 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.6k citations), Cellular and Molecular Neuroscience (863 citations), Molecular Biology (2.5k citations), Physiology (70 citations) and Physiology (302 citations). Robert D. Harvey has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Joseph R. Hume, Andriy E. Belevych, Shailesh R. Agarwal, Sunita Warrier, Robert E. Ten Eick, Sarah Calaghan, Colleen E. Clancy, Livia C. Hool, Xander H.T. Wehrens and Steven Reiken. Their work appears in journals such as The Journal of Physiology, American Journal of Physiology-Cell Physiology, British Journal of Pharmacology, Molecular Pharmacology and The Journal of General Physiology.

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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