Justin Ryan

1.7k total citations · 1 hit paper
42 papers, 1.0k citations indexed

About

Justin Ryan is a scholar working on Surgery, Epidemiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Justin Ryan has authored 42 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Surgery, 16 papers in Epidemiology and 15 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Justin Ryan's work include Congenital Heart Disease Studies (16 papers), Anatomy and Medical Technology (11 papers) and Surgical Simulation and Training (10 papers). Justin Ryan is often cited by papers focused on Congenital Heart Disease Studies (16 papers), Anatomy and Medical Technology (11 papers) and Surgical Simulation and Training (10 papers). Justin Ryan collaborates with scholars based in United States, Canada and Greece. Justin Ryan's co-authors include David Frakes, Peter Nakaji, L. Fernando Gonzalez, Kaith K. Almefty, Mythreye Venkatesan, Nicole Wake, Garry P. Nolan, Ahmet F. Coskun, Christian M. Schürch and Leonid Chepelev and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Justin Ryan

36 papers receiving 984 citations

Hit Papers

Virtual and augmented reality for biomedical applications 2021 2026 2022 2024 2021 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Virtual and augmented reality for biomedical applications
    2021 168 citations Mythreye Venkatesan, Justin Ryan et al. Cell Reports Medicine profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Justin Ryan United States 16 496 480 205 180 135 42 1.0k
Laura Cercenelli Italy 21 414 0.8× 560 1.2× 223 1.1× 36 0.2× 224 1.7× 96 1.1k
Carlito Lagman United States 18 197 0.4× 475 1.0× 114 0.6× 342 1.9× 115 0.9× 77 1.2k
Emanuela Marcelli Italy 21 399 0.8× 546 1.1× 325 1.6× 39 0.2× 176 1.3× 107 1.3k
Vicknes Waran Malaysia 17 447 0.9× 500 1.0× 60 0.3× 192 1.1× 80 0.6× 52 993
Jaesoon Choi South Korea 18 673 1.4× 399 0.8× 101 0.5× 32 0.2× 119 0.9× 87 1.1k
Christophe Meyer France 25 554 1.1× 1.1k 2.4× 70 0.3× 213 1.2× 41 0.3× 136 2.2k
Sara Condino Italy 19 468 0.9× 662 1.4× 102 0.5× 28 0.2× 534 4.0× 74 1.2k
Chieh‐Tsai Wu Taiwan 23 250 0.5× 895 1.9× 105 0.5× 481 2.7× 109 0.8× 123 1.6k
Peter Liacouras United States 21 1.2k 2.3× 867 1.8× 117 0.6× 85 0.5× 78 0.6× 55 1.8k
Roland Unterhinninghofen Germany 12 929 1.9× 482 1.0× 161 0.8× 22 0.1× 110 0.8× 37 1.5k

Countries citing papers authored by Justin Ryan

Since Specialization
Citations

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

Fields of papers citing papers by Justin Ryan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Justin Ryan. 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 Justin Ryan. The network helps show where Justin Ryan may publish in the future.

Co-authorship network of co-authors of Justin Ryan

This figure shows the co-authorship network connecting the top 25 collaborators of Justin Ryan. A scholar is included among the top collaborators of Justin Ryan 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 Justin Ryan. Justin Ryan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Ryan, Justin, Elsa Arribas, Seetharam Chadalavada, et al.. (2024). Clinical situations for which 3D printing is considered an appropriate representation or extension of data contained in a medical imaging examination: pediatric congenital heart disease conditions. SHILAP Revista de lepidopterología. 10(1). 3–3. 2 indexed citations
4.
Ryan, Justin, et al.. (2024). Stenting of the Patent Ductus Arteriosus. Interventional Cardiology Clinics. 13(3). 421–430. 2 indexed citations
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Ratnayaka, Kanishka, Zhenglun Alan Wei, Justin Ryan, et al.. (2023). Transcatheter Hepatic Conduit-Azygous Vein Connection Reduces Pulmonary Arteriovenous Malformations in a Cyanotic Fontan Patient. JACC Case Reports. 10. 101760–101760.
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Venkatesan, Mythreye, Justin Ryan, Christian M. Schürch, et al.. (2021). Virtual and augmented reality for biomedical applications. Cell Reports Medicine. 2(7). 100348–100348. 168 indexed citations breakdown →
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Ryan, Justin, et al.. (2020). The role of bioresorbable intraluminal airway stents in pediatric tracheobronchial obstruction: A systematic review. International Journal of Pediatric Otorhinolaryngology. 139. 110405–110405. 27 indexed citations
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Saddawi‐Konefka, Robert, et al.. (2020). The role of 3D printing in pediatric airway obstruction: A systematic review. International Journal of Pediatric Otorhinolaryngology. 132. 109923–109923. 32 indexed citations
10.
Ballard, David H., Waleed Althobaity, Andy Christensen, et al.. (2020). Clinical situations for which 3D printing is considered an appropriate representation or extension of data contained in a medical imaging examination: adult cardiac conditions. SHILAP Revista de lepidopterología. 6(1). 24–24. 11 indexed citations
11.
Gounley, John, Dale Adler, Jane A. Leopold, et al.. (2020). Accelerating massively parallel hemodynamic models of coarctation of the aorta using neural networks. Scientific Reports. 10(1). 9508–9508. 28 indexed citations
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Chepelev, Leonid, Nicole Wake, Justin Ryan, et al.. (2018). Radiological Society of North America (RSNA) 3D printing Special Interest Group (SIG): guidelines for medical 3D printing and appropriateness for clinical scenarios. 3D Printing in Medicine. 4(1). 11–11. 159 indexed citations
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Nair, Priya, et al.. (2016). Endovascular Device Testing with Particle Image Velocimetry Enhances Undergraduate Biomedical Engineering Education. Journal of STEM education. 17(3). 39–46. 2 indexed citations
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Ryan, Justin, Kaith K. Almefty, Peter Nakaji, & David Frakes. (2016). Cerebral Aneurysm Clipping Surgery Simulation Using Patient-Specific 3D Printing and Silicone Casting. World Neurosurgery. 88. 175–181. 103 indexed citations
16.
Ryan, Justin, et al.. (2016). Three-dimensional printing. Current Opinion in Cardiology. 32(1). 86–92. 5 indexed citations
17.
Ryan, Justin, Tsinsue Chen, Peter Nakaji, David Frakes, & L. Fernando Gonzalez. (2015). Ventriculostomy Simulation Using Patient-Specific Ventricular Anatomy, 3D Printing, and Hydrogel Casting. World Neurosurgery. 84(5). 1333–1339. 59 indexed citations
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Nair, Priya, Brian W. Chong, Aprinda Indahlastari, et al.. (2015). Hemodynamic characterization of geometric cerebral aneurysm templates. Journal of Biomechanics. 49(11). 2118–2126. 8 indexed citations
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Gonzalez, L. Fernando, et al.. (2013). Flow diverter effect on cerebral aneurysm hemodynamics: an in vitro comparison of telescoping stents and the Pipeline. Neuroradiology. 55(6). 751–758. 47 indexed citations
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Gonzalez, L. Fernando, et al.. (2012). Influence of stent configuration on cerebral aneurysm fluid dynamics. Journal of Biomechanics. 45(3). 440–447. 56 indexed citations

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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