John N. Makaryus

119 total papers · 558 total citations
63 papers, 372 citations indexed

About

John N. Makaryus is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, John N. Makaryus has authored 63 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Cardiology and Cardiovascular Medicine, 23 papers in Surgery and 12 papers in Pulmonary and Respiratory Medicine. Recurrent topics in John N. Makaryus's work include Cardiac Arrhythmias and Treatments (11 papers), Cardiac Imaging and Diagnostics (9 papers) and Cardiovascular Function and Risk Factors (6 papers). John N. Makaryus is often cited by papers focused on Cardiac Arrhythmias and Treatments (11 papers), Cardiac Imaging and Diagnostics (9 papers) and Cardiovascular Function and Risk Factors (6 papers). John N. Makaryus collaborates with scholars based in United States and Russia. John N. Makaryus's co-authors include Amgad N. Makaryus, John N. Catanzaro, Samy I. McFarlane, Moro O. Salifu, James R. Sowers, Cristina Sison, Allen J. Taylor, Jennifer H. Mieres, Harvey Kushner and John L. Semmlow and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and The American Journal of Medicine.

In The Last Decade

John N. Makaryus

50 papers receiving 355 citations

Author Peers

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

Author Last Decade Papers Cites
John N. Makaryus 172 70 68 60 52 63 372
Rajeev Bhardwaj 211 1.2× 70 1.0× 77 1.1× 31 0.5× 71 1.4× 44 418
Georgios E. Louridas 330 1.9× 81 1.2× 99 1.5× 89 1.5× 51 1.0× 41 429
Patrícia Rodrigues 172 1.0× 43 0.6× 86 1.3× 42 0.7× 62 1.2× 54 353
Haşim Olgun 87 0.5× 144 2.1× 79 1.2× 44 0.7× 77 1.5× 49 392
Francesco Soriano 200 1.2× 98 1.4× 48 0.7× 47 0.8× 58 1.1× 39 338
Per Ejlstrup Sigvardsen 197 1.1× 108 1.5× 85 1.3× 65 1.1× 78 1.5× 40 431
Bilgin Timuralp 283 1.6× 62 0.9× 52 0.8× 66 1.1× 22 0.4× 45 412
Shakeel Jamal 113 0.7× 75 1.1× 53 0.8× 18 0.3× 62 1.2× 51 432
Masao Yoshitatsu 184 1.1× 205 2.9× 94 1.4× 31 0.5× 39 0.8× 49 391
Aytekin Güven 131 0.8× 90 1.3× 49 0.7× 24 0.4× 63 1.2× 42 397

Countries citing papers authored by John N. Makaryus

Since Specialization
Citations

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

Fields of papers citing papers by John N. Makaryus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John N. Makaryus. 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 John N. Makaryus. The network helps show where John N. Makaryus may publish in the future.

Co-authorship network of co-authors of John N. Makaryus

This figure shows the co-authorship network connecting the top 25 collaborators of John N. Makaryus. A scholar is included among the top collaborators of John N. Makaryus 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 John N. Makaryus. John N. Makaryus 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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