J. Paul DeYoung

23 total papers · 449 total citations
18 papers, 317 citations indexed

About

J. Paul DeYoung is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, J. Paul DeYoung has authored 18 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cardiology and Cardiovascular Medicine, 5 papers in Surgery and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in J. Paul DeYoung's work include Acute Myocardial Infarction Research (14 papers), Antiplatelet Therapy and Cardiovascular Diseases (5 papers) and Cardiac Imaging and Diagnostics (5 papers). J. Paul DeYoung is often cited by papers focused on Acute Myocardial Infarction Research (14 papers), Antiplatelet Therapy and Cardiovascular Diseases (5 papers) and Cardiac Imaging and Diagnostics (5 papers). J. Paul DeYoung collaborates with scholars based in Canada, United States and United Kingdom. J. Paul DeYoung's co-authors include Shaun G. Goodman, Andrew T. Yan, Richard L. Gallo, Raymond T. Yan, François Grondin, Robert C. Welsh, Barry Rose, Jan M. Kornder, Graham C. Wong and Basem Elbarouni and has published in prestigious journals such as International Journal of Radiation Oncology*Biology*Physics, American Heart Journal and International Journal of Cardiology.

In The Last Decade

J. Paul DeYoung

18 papers receiving 308 citations

Author Peers

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

Author						Papers	Cites
J. Paul DeYoung	284	91	84	24	16	18	317
Basem Elbarouni	266 0.9×	103 1.1×	93 1.1×	35 1.5×	23 1.4×	28	332
Maribel González‐Del‐Hoyo	274 1.0×	108 1.2×	67 0.8×	34 1.4×	14 0.9×	30	339
Rony Mathew	220 0.8×	59 0.6×	95 1.1×	20 0.8×	18 1.1×	20	256
Eng Wei Tang	303 1.1×	103 1.1×	76 0.9×	19 0.8×	10 0.6×	11	357
Jaya Mallidi	207 0.7×	76 0.8×	76 0.9×	36 1.5×	26 1.6×	24	271
F.W.A. Verheugt	280 1.0×	85 0.9×	102 1.2×	40 1.7×	11 0.7×	28	349
Hans-Georg Glunz	249 0.9×	117 1.3×	139 1.7×	53 2.2×	12 0.8×	16	294
Frank Towae	250 0.9×	127 1.4×	134 1.6×	12 0.5×	12 0.8×	13	321
Toralben Patel	244 0.9×	42 0.5×	99 1.2×	19 0.8×	37 2.3×	17	304
Xavier Prida	218 0.8×	98 1.1×	104 1.2×	27 1.1×	25 1.6×	19	335

Countries citing papers authored by J. Paul DeYoung

Since Specialization

Citations

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

Fields of papers citing papers by J. Paul DeYoung

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. Paul DeYoung. 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 J. Paul DeYoung. The network helps show where J. Paul DeYoung may publish in the future.

Co-authorship network of co-authors of J. Paul DeYoung

This figure shows the co-authorship network connecting the top 25 collaborators of J. Paul DeYoung. A scholar is included among the top collaborators of J. Paul DeYoung 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 J. Paul DeYoung. J. Paul DeYoung 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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