Vijay Vedula

1.4k total citations
34 papers, 976 citations indexed

About

Vijay Vedula is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Biomedical Engineering. According to data from OpenAlex, Vijay Vedula has authored 34 papers receiving a total of 976 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Cardiology and Cardiovascular Medicine, 9 papers in Surgery and 9 papers in Biomedical Engineering. Recurrent topics in Vijay Vedula's work include Cardiovascular Function and Risk Factors (14 papers), Cardiac Valve Diseases and Treatments (9 papers) and Elasticity and Material Modeling (9 papers). Vijay Vedula is often cited by papers focused on Cardiovascular Function and Risk Factors (14 papers), Cardiac Valve Diseases and Treatments (9 papers) and Elasticity and Material Modeling (9 papers). Vijay Vedula collaborates with scholars based in United States, Germany and United Kingdom. Vijay Vedula's co-authors include Rajat Mittal, Theodore P. Abraham, Alison L. Marsden, Jung-Hee Seo, Albert C. Lardo, Laurent Younès, Richard T. De George, Young Joon Choi, Jung Hee Seo and Tzung K. Hsiai and has published in prestigious journals such as Journal of Computational Physics, Computer Methods in Applied Mechanics and Engineering and PLoS Computational Biology.

In The Last Decade

Vijay Vedula

30 papers receiving 956 citations

Peers

Vijay Vedula
Nathan M. Wilson United States
Ryan L. Spilker United States
Andrea S. Les United States
Prahlad G. Menon United States
Farhad R. Nezami United States
Jenny S. Choy United States
Adam Updegrove United States
Nathan M. Wilson United States
Vijay Vedula
Citations per year, relative to Vijay Vedula Vijay Vedula (= 1×) peers Nathan M. Wilson

Countries citing papers authored by Vijay Vedula

Since Specialization
Citations

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

Fields of papers citing papers by Vijay Vedula

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vijay Vedula

This figure shows the co-authorship network connecting the top 25 collaborators of Vijay Vedula. A scholar is included among the top collaborators of Vijay Vedula 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 Vijay Vedula. Vijay Vedula 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
1.
Chen, Yu-Rui, et al.. (2025). A Patient-Specific Computational Model for Neonates and Infants with Borderline Left Ventricles. Annals of Biomedical Engineering. 54(1). 41–61.
2.
Shi, Lei, Ian Y. Chen, Hiroo Takayama, & Vijay Vedula. (2024). An optimization framework to personalize passive cardiac mechanics. Computer Methods in Applied Mechanics and Engineering. 432. 117401–117401. 5 indexed citations
3.
Salvador, Matteo, Lei Shi, Martin R. Pfaller, et al.. (2024). A modular framework for implicit 3D–0D coupling in cardiac mechanics. Computer Methods in Applied Mechanics and Engineering. 421. 116764–116764. 7 indexed citations
4.
Kandula, Viswajit, Jay Leb, Hideyuki Hayashi, et al.. (2024). Blood flow assessment technology in aortic surgery: a narrative review. Journal of Thoracic Disease. 16(4). 2623–2636. 2 indexed citations
5.
Sun, Mingze, Jonathan B. Russ, Giovanni Ferrari, et al.. (2023). In Vitro Proof of Concept of a First‐Generation Growth‐Accommodating Heart Valved Conduit for Pediatric Use. Macromolecular Bioscience. 23(7). e2300011–e2300011. 2 indexed citations
6.
Vedula, Vijay, Jessica C. Cardenas, Peter K. Henke, et al.. (2023). Venous Thromboembolism: Review of Clinical Challenges, Biology, Assessment, Treatment, and Modeling. Annals of Biomedical Engineering. 52(3). 467–486. 11 indexed citations
7.
Sun, Mingze, Jonathan B. Russ, Giovanni Ferrari, et al.. (2023). In Vitro Proof of Concept of a First‐Generation Growth‐Accommodating Heart Valved Conduit for Pediatric Use. Macromolecular Bioscience. 23(7).
8.
Yamabe, Tsuyoshi, Jonathan Ginns, Vijay Vedula, et al.. (2022). Left ventricular remodeling following septal myectomy in hypertrophic obstructive cardiomyopathy. JTCVS Open. 11. 105–115. 9 indexed citations
9.
Quirk, James D., et al.. (2022). Experimental and Mouse-Specific Computational Models of the Fbln4SMKO Mouse to Identify Potential Biomarkers for Ascending Thoracic Aortic Aneurysm. Cardiovascular Engineering and Technology. 13(4). 558–572. 8 indexed citations
10.
Vedula, Vijay, et al.. (2022). Fluid-structure interaction simulation of tissue degradation and its effects on intra-aneurysm hemodynamics. Biomechanics and Modeling in Mechanobiology. 21(2). 671–683. 21 indexed citations
11.
Chen, Ian Y., Vijay Vedula, Sachin B. Malik, et al.. (2021). Preoperative Computed Tomography Angiography Reveals Leaflet-Specific Calcification and Excursion Patterns in Aortic Stenosis. Circulation Cardiovascular Imaging. 14(12). 1122–1132. 6 indexed citations
12.
Russ, Jonathan B., et al.. (2021). Design optimization of a cardiovascular stent with application to a balloon expandable prosthetic heart valve. Materials & Design. 209. 109977–109977. 13 indexed citations
13.
Balzani, Daniel, et al.. (2021). On the Potential Self-Amplification of Aneurysms Due to Tissue Degradation and Blood Flow Revealed From FSI Simulations. Frontiers in Physiology. 12. 785780–785780. 19 indexed citations
14.
Bäumler, Kathrin, Vijay Vedula, Anna M. Sailer, et al.. (2020). Fluid–structure interaction simulations of patient-specific aortic dissection. Biomechanics and Modeling in Mechanobiology. 19(5). 1607–1628. 129 indexed citations
15.
Hsu, Jeffrey J., Vijay Vedula, Kyung In Baek, et al.. (2019). Contractile and hemodynamic forces coordinate Notch1b-mediated outflow tract valve formation. JCI Insight. 4(10). 36 indexed citations
16.
Lee, Juhyun, Vijay Vedula, Kyung In Baek, et al.. (2018). Spatial and temporal variations in hemodynamic forces initiate cardiac trabeculation. JCI Insight. 3(13). 47 indexed citations
17.
Abiri, Arash, Yichen Ding, Parinaz Abiri, et al.. (2018). Simulating Developmental Cardiac Morphology in Virtual Reality Using a Deformable Image Registration Approach. Annals of Biomedical Engineering. 46(12). 2177–2188. 10 indexed citations
18.
Vedula, Vijay, Juhyun Lee, Hao Xu, et al.. (2017). A method to quantify mechanobiologic forces during zebrafish cardiac development using 4-D light sheet imaging and computational modeling. PLoS Computational Biology. 13(10). e1005828–e1005828. 63 indexed citations
19.
Choi, Young Joon, Jason Constantino, Vijay Vedula, Natalia A. Trayanova, & Rajat Mittal. (2015). A New MRI-Based Model of Heart Function with Coupled Hemodynamics and Application to Normal and Diseased Canine Left Ventricles. Frontiers in Bioengineering and Biotechnology. 3. 140–140. 20 indexed citations
20.
Choi, Young Joon, Vijay Vedula, & Rajat Mittal. (2014). Computational Study of the Dynamics of a Bileaflet Mechanical Heart Valve in the Mitral Position. Annals of Biomedical Engineering. 42(8). 1668–1680. 29 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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