Phillip M. Trusty

52 total papers · 2.0k total citations
38 papers, 735 citations indexed

About

Phillip M. Trusty is a scholar working on Epidemiology, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Phillip M. Trusty has authored 38 papers receiving a total of 735 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Epidemiology, 23 papers in Cardiology and Cardiovascular Medicine and 14 papers in Surgery. Recurrent topics in Phillip M. Trusty's work include Congenital Heart Disease Studies (28 papers), Cardiovascular Function and Risk Factors (15 papers) and Cardiac Valve Diseases and Treatments (13 papers). Phillip M. Trusty is often cited by papers focused on Congenital Heart Disease Studies (28 papers), Cardiovascular Function and Risk Factors (15 papers) and Cardiac Valve Diseases and Treatments (13 papers). Phillip M. Trusty collaborates with scholars based in United States, Germany and Spain. Phillip M. Trusty's co-authors include Ajit P. Yoganathan, Mark A. Fogel, Zhenglun Alan Wei, Timothy C. Slesnick, Kirk R. Kanter, Philipp Lurz, Abdellaziz Dahou, Patric Biaggi, Jörg Hausleiter and Jean‐Noël Trochu and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and Journal of Biomechanics.

In The Last Decade

Phillip M. Trusty

36 papers receiving 724 citations

Hit Papers

Transcatheter Edge-to-Edg... 2021 2026 2022 2024 2021 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Phillip M. Trusty 542 523 289 157 142 38 735
Ethan Kung 389 0.7× 239 0.5× 318 1.1× 182 1.2× 225 1.6× 34 705
X. Roques 555 1.0× 354 0.7× 372 1.3× 209 1.3× 91 0.6× 31 839
Elliott M. Groves 444 0.8× 190 0.4× 210 0.7× 160 1.0× 79 0.6× 25 651
Changfu Wu 747 1.4× 515 1.0× 249 0.9× 409 2.6× 74 0.5× 28 869
Muralidhar Padala 758 1.4× 330 0.6× 461 1.6× 121 0.8× 94 0.7× 67 859
Jack H. Boyd 342 0.6× 167 0.3× 445 1.5× 188 1.2× 172 1.2× 64 700
Carol L. Lucas 418 0.8× 327 0.6× 300 1.0× 384 2.4× 211 1.5× 53 793
Eugénie Riesenkampff 629 1.2× 455 0.9× 292 1.0× 342 2.2× 94 0.7× 31 903
Pierce Ws 279 0.5× 141 0.3× 389 1.3× 77 0.5× 446 3.1× 43 668
James W. French 505 0.9× 287 0.5× 497 1.7× 357 2.3× 172 1.2× 33 909

Countries citing papers authored by Phillip M. Trusty

Since Specialization
Citations

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

Fields of papers citing papers by Phillip M. Trusty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Phillip M. Trusty. 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 Phillip M. Trusty. The network helps show where Phillip M. Trusty may publish in the future.

Co-authorship network of co-authors of Phillip M. Trusty

This figure shows the co-authorship network connecting the top 25 collaborators of Phillip M. Trusty. A scholar is included among the top collaborators of Phillip M. Trusty 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 Phillip M. Trusty. Phillip M. Trusty 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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