David B. Shaw

938 citations
27 papers · 807 · h-index 14

Impact in

Papers in

David B. Shaw

27 papers receiving 758 citations

Peers

David B. Shaw
Comparison fields: 5 of 80
  • Cellular and Molecular Neuroscience 420
  • Biological Psychiatry 23
  • Molecular Biology 436
  • Behavioral Neuroscience 20
  • Pharmacology 61
Replace André Uzan with:
André Uzan France
Kerry L. Chapman United Kingdom
Linda M. Pullan United States
Jonathan D. Kursar United States
Kenneth L. Hauser United States
Richard G. Boles United States
Renzo Carletti Italy
Jean‐Jacques Bourguignon France
Nigel J. Deeks United Kingdom
Liliane Unger Germany
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Citations per field
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Citations per year

Countries citing papers authored by David B. Shaw

Since Specialization
Citations

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

Fields of papers citing papers by David B. Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009150
2 2013144
3 200575
4 201552
5 201452
6 199351
7 202047
8 201542
9 196136
10 199422
11 201822
12 199220
13
SECONDARY POLYCYTHEMIA IN ADOLESCENTS AT HIGH ALTITUDE.
196515
14 201314
15 197612
16 19799
17 19838
18 19798
19
Infective endocarditis--a twelve year surgical outcome series.
20028
20 19844

About David B. Shaw

David B. Shaw is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cardiology and Cardiovascular Medicine, Organic Chemistry and Physical and Theoretical Chemistry, having authored 27 papers that have together received 807 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (8 papers), Neuroscience and Neuropharmacology Research (7 papers), Pharmacological Receptor Mechanisms and Effects (4 papers), Organometallic Complex Synthesis and Catalysis (4 papers), Cardiovascular Syncope and Autonomic Disorders (3 papers), Cardiac Arrhythmias and Treatments (3 papers), Erythrocyte Function and Pathophysiology (2 papers) and Neuropeptides and Animal Physiology (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (420 citations), Biological Psychiatry (23 citations), Molecular Biology (436 citations), Behavioral Neuroscience (20 citations) and Pharmacology (61 citations). David B. Shaw has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include David L. McKinzie, Christian C. Felder, Katie Leach, Adrian J. Mogg, Richard E. Loiacono, Arthur Christopoulos, Patrick Michael Sexton, Thomas W. Simpson, Carrie K. Jones and Harlan E. Shannon. Their work appears in journals such as Journal of Medicinal Chemistry, Neuropsychopharmacology, Pacing and Clinical Electrophysiology, Data Technologies and Applications and American Heart Journal.

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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