David McCarty

61 total papers · 1.3k total citations
40 papers, 717 citations indexed

About

David McCarty is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, David McCarty has authored 40 papers receiving a total of 717 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Cardiology and Cardiovascular Medicine, 8 papers in Surgery and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in David McCarty's work include Cardiac pacing and defibrillation studies (13 papers), Cardiac Arrhythmias and Treatments (11 papers) and Cardiovascular Function and Risk Factors (6 papers). David McCarty is often cited by papers focused on Cardiac pacing and defibrillation studies (13 papers), Cardiac Arrhythmias and Treatments (11 papers) and Cardiovascular Function and Risk Factors (6 papers). David McCarty collaborates with scholars based in United States, Canada and United Kingdom. David McCarty's co-authors include Michael H. Picard, Jagmeet P. Singh, Jeremy N. Ruskin, E. Kevin Heist, Dan Blendea, Faisal M. Merchant, Leticia Fernández‐Friera, Judy Hung, Rory B. Weiner and Jonathan H. Kim and has published in prestigious journals such as New England Journal of Medicine, European Heart Journal and The American Journal of Cardiology.

In The Last Decade

David McCarty

40 papers receiving 698 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
David McCarty	514	148	126	77	60	40	717
L Mangiardi	575 1.1×	138 0.9×	73 0.6×	53 0.7×	130 2.2×	40	887
Mohammed Yousufuddin	457 0.9×	171 1.2×	107 0.8×	48 0.6×	79 1.3×	49	863
Yoshiyuki Kawano	316 0.6×	86 0.6×	36 0.3×	79 1.0×	157 2.6×	34	666
S Simonsen	308 0.6×	238 1.6×	144 1.1×	104 1.4×	91 1.5×	33	661
Guglielmo Mario Actis Dato	455 0.9×	456 3.1×	116 0.9×	36 0.5×	200 3.3×	54	716
Yoshikazu Kaji	474 0.9×	89 0.6×	117 0.9×	21 0.3×	67 1.1×	61	825
Guillaume Bonnet	435 0.8×	241 1.6×	42 0.3×	57 0.7×	22 0.4×	60	751
Thomas Hilbel	419 0.8×	80 0.5×	44 0.3×	75 1.0×	147 2.5×	50	671
J. Vollert	469 0.9×	137 0.9×	63 0.5×	151 2.0×	114 1.9×	43	742
Dayımi Kaya	501 1.0×	91 0.6×	59 0.5×	69 0.9×	148 2.5×	45	715

Countries citing papers authored by David McCarty

Since Specialization

Citations

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

Fields of papers citing papers by David McCarty

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David McCarty

This figure shows the co-authorship network connecting the top 25 collaborators of David McCarty. A scholar is included among the top collaborators of David McCarty based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David McCarty. David McCarty is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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