Raymond P. Vito

81 total papers · 2.3k total citations
53 papers, 1.8k citations indexed

About

Raymond P. Vito is a scholar working on Biomedical Engineering, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Raymond P. Vito has authored 53 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Biomedical Engineering, 31 papers in Surgery and 13 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Raymond P. Vito's work include Elasticity and Material Modeling (29 papers), Coronary Interventions and Diagnostics (24 papers) and Electrospun Nanofibers in Biomedical Applications (7 papers). Raymond P. Vito is often cited by papers focused on Elasticity and Material Modeling (29 papers), Coronary Interventions and Diagnostics (24 papers) and Electrospun Nanofibers in Biomedical Applications (7 papers). Raymond P. Vito collaborates with scholars based in United States, Canada and Türkiye. Raymond P. Vito's co-authors include Dror Seliktar, R.A. Black, Robert M. Nerem, Bernard E. McCarey, D. L. Vawter, Hai‐Chao Han, Hilmi Demı́ray, Jay D. Humphrey, Seymour Glagov and Shunichi KOBAYASHI and has published in prestigious journals such as PLoS ONE, Annals of Surgery and Journal of Biomechanics.

In The Last Decade

Raymond P. Vito

51 papers receiving 1.7k citations

Author Peers

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

Author Last Decade Papers Cites
Raymond P. Vito 919 847 389 377 367 53 1.8k
Alireza Karimi 1.1k 1.2× 826 1.0× 328 0.8× 255 0.7× 423 1.2× 91 2.2k
Jonathan P. Vande Geest 772 0.8× 632 0.7× 228 0.6× 793 2.1× 1.4k 3.8× 77 2.3k
J. D. Humphrey 1.4k 1.5× 597 0.7× 148 0.4× 604 1.6× 475 1.3× 43 2.1k
Monica T. Hinds 732 0.8× 693 0.8× 768 2.0× 236 0.6× 241 0.7× 101 2.4k
David Christiansen 566 0.6× 491 0.6× 722 1.9× 102 0.3× 176 0.5× 54 1.7k
Joseph Chen 417 0.5× 785 0.9× 267 0.7× 280 0.7× 147 0.4× 67 1.9k
Federica Boschetti 927 1.0× 730 0.9× 421 1.1× 106 0.3× 240 0.7× 95 1.9k
Ruth J. Okamoto 1.2k 1.3× 216 0.3× 101 0.3× 253 0.7× 773 2.1× 70 2.2k
Toshiro OHASHI 803 0.9× 479 0.6× 139 0.4× 141 0.4× 305 0.8× 106 2.3k
Michael S. Sacks 914 1.0× 1.0k 1.2× 1.0k 2.6× 830 2.2× 213 0.6× 57 2.4k

Countries citing papers authored by Raymond P. Vito

Since Specialization
Citations

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

Fields of papers citing papers by Raymond P. Vito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Raymond P. Vito. 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 Raymond P. Vito. The network helps show where Raymond P. Vito may publish in the future.

Co-authorship network of co-authors of Raymond P. Vito

This figure shows the co-authorship network connecting the top 25 collaborators of Raymond P. Vito. A scholar is included among the top collaborators of Raymond P. Vito 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 Raymond P. Vito. Raymond P. Vito 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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