David L. Nunley

17 total papers · 457 total citations
14 papers, 351 citations indexed

About

David L. Nunley is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Epidemiology. According to data from OpenAlex, David L. Nunley has authored 14 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cardiology and Cardiovascular Medicine, 8 papers in Surgery and 5 papers in Epidemiology. Recurrent topics in David L. Nunley's work include Cardiac Valve Diseases and Treatments (10 papers), Cardiac Structural Anomalies and Repair (6 papers) and Cardiac Imaging and Diagnostics (5 papers). David L. Nunley is often cited by papers focused on Cardiac Valve Diseases and Treatments (10 papers), Cardiac Structural Anomalies and Repair (6 papers) and Cardiac Imaging and Diagnostics (5 papers). David L. Nunley collaborates with scholars based in United States. David L. Nunley's co-authors include Albert Starr, Gary L. Grunkemeier, Pietro A. Abbruzzese, Siavosh Khonsari, Louis Lambert, Shahbudin H. Rahimtoola, Carlos Garcia, Henry J. Issenberg, Cecille O. Sunderland and JOHN STAIGE DAVIS and has published in prestigious journals such as New England Journal of Medicine, Journal of the American College of Cardiology and Journal of Thoracic and Cardiovascular Surgery.

In The Last Decade

David L. Nunley

14 papers receiving 302 citations

Author Peers

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

Author Last Decade Papers Cites
David L. Nunley 290 214 126 86 56 14 351
Harald Eie 197 0.7× 118 0.6× 94 0.7× 50 0.6× 105 1.9× 19 342
Andrea Marcantonio 121 0.4× 61 0.3× 133 1.1× 100 1.2× 92 1.6× 16 342
Flavia Ballocca 148 0.5× 85 0.4× 86 0.7× 44 0.5× 22 0.4× 13 356
Rosalyn Sterling 227 0.8× 161 0.8× 40 0.3× 104 1.2× 62 1.1× 19 325
Catherine Durrieu-Jaïs 226 0.8× 147 0.7× 59 0.5× 84 1.0× 71 1.3× 15 373
Anneli Eerola 244 0.8× 54 0.3× 138 1.1× 129 1.5× 80 1.4× 19 334
John W. Chu 244 0.8× 79 0.4× 143 1.1× 45 0.5× 80 1.4× 11 295
Toshiharu Oka 301 1.0× 181 0.8× 60 0.5× 183 2.1× 32 0.6× 15 390
Anthony Chuang 221 0.8× 58 0.3× 55 0.4× 99 1.2× 35 0.6× 18 296
Juan Krauss 251 0.9× 126 0.6× 110 0.9× 40 0.5× 78 1.4× 22 359

Countries citing papers authored by David L. Nunley

Since Specialization
Citations

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

Fields of papers citing papers by David L. Nunley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David L. Nunley

This figure shows the co-authorship network connecting the top 25 collaborators of David L. Nunley. A scholar is included among the top collaborators of David L. Nunley 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 L. Nunley. David L. Nunley 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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