David S. Li

601 total citations
20 papers, 398 citations indexed

About

David S. Li is a scholar working on Biomedical Engineering, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, David S. Li has authored 20 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Biomedical Engineering, 13 papers in Cardiology and Cardiovascular Medicine and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in David S. Li's work include Elasticity and Material Modeling (13 papers), Cardiovascular Function and Risk Factors (12 papers) and Cardiac Structural Anomalies and Repair (4 papers). David S. Li is often cited by papers focused on Elasticity and Material Modeling (13 papers), Cardiovascular Function and Risk Factors (12 papers) and Cardiac Structural Anomalies and Repair (4 papers). David S. Li collaborates with scholars based in United States, Netherlands and Spain. David S. Li's co-authors include Reza Avazmohammadi, Michael S. Sacks, Robert C. Gorman, João S. Soares, Joseph H. Gorman, Samarth S. Raut, Edward W. Hsu, Peter Vanderslice, Michael S. Sacks and Richard A. F. Dixon and has published in prestigious journals such as Scientific Reports, Arteriosclerosis Thrombosis and Vascular Biology and Computer Methods in Applied Mechanics and Engineering.

In The Last Decade

David S. Li

20 papers receiving 397 citations

Peers

David S. Li

CCM

SURGE

PRM

SNP

Bruno V. Rego United States

Devin W. Laurence United States

Selda Sherifova Austria

Abhay B. Ramachandra United States

Simon Tupin Japan

Cristina Cavinato United States

Tomasz Jaźwiec Poland

Fabian A. Braeu Singapore

Wilco Kroon Netherlands

Barry S. Gow Australia

Bruno V. Rego United States

David S. Li

100 ×0.4

239 ×1.1

CCM

138 ×1.3

SURGE

64 ×0.8

PRM

41 ×1.1

SNP

Citations per year, relative to David S. Li David S. Li (= 1×) peers Bruno V. Rego

Countries citing papers authored by David S. Li

Since Specialization

Citations

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

Fields of papers citing papers by David S. Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David S. Li. 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 David S. Li. The network helps show where David S. Li may publish in the future.

Co-authorship network of co-authors of David S. Li

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

All Works

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20 of 20 papers shown

Li, David S., et al.. (2023). A multi-scale computational model for the passive mechanical behavior of right ventricular myocardium. Journal of the mechanical behavior of biomedical materials. 142. 105788–105788. 5 indexed citations

Chen, Minghao, Cristina Cavinato, Jens Hansen, et al.. (2023). FN (Fibronectin)-Integrin α5 Signaling Promotes Thoracic Aortic Aneurysm in a Mouse Model of Marfan Syndrome. Arteriosclerosis Thrombosis and Vascular Biology. 43(5). e132–e150. 17 indexed citations

Murtada, Sae‐Il, Yuki I. Kawamura, Cristina Cavinato, et al.. (2023). Biomechanical and transcriptional evidence that smooth muscle cell death drives an osteochondrogenic phenotype and severe proximal vascular disease in progeria. Biomechanics and Modeling in Mechanobiology. 22(4). 1333–1347. 3 indexed citations

Murtada, Sae‐Il, Mo Wang, Yuki I. Kawamura, et al.. (2023). Lonafarnib improves cardiovascular function and survival in a mouse model of Hutchinson-Gilford progeria syndrome. eLife. 12. 11 indexed citations

Li, David S., Cristina Cavinato, Marcos Latorre, & Jay D. Humphrey. (2023). Computational modelling distinguishes diverse contributors to aneurysmal progression in the Marfan aorta. Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences. 479(2276). 1 indexed citations

Rego, Bruno V., et al.. (2023). Effects of Age, Sex, and Extracellular Matrix Integrity on Aortic Dilatation and Rupture in a Mouse Model of Marfan Syndrome. Arteriosclerosis Thrombosis and Vascular Biology. 43(9). e358–e372. 16 indexed citations

Goswami, Somdatta, David S. Li, Bruno V. Rego, et al.. (2022). Neural operator learning of heterogeneous mechanobiological insults contributing to aortic aneurysms. Journal of The Royal Society Interface. 19(193). 20220410–20220410. 21 indexed citations

Zhang, Wenbo, David S. Li, Tan Bui–Thanh, & Michael S. Sacks. (2022). Simulation of the 3D hyperelastic behavior of ventricular myocardium using a finite-element based neural-network approach. Computer Methods in Applied Mechanics and Engineering. 394. 114871–114871. 18 indexed citations

Li, David S., et al.. (2022). On the Three-Dimensional Mechanical Behavior of Human Breast Tissue. Annals of Biomedical Engineering. 50(5). 601–613. 4 indexed citations

10.

Li, David S., et al.. (2021). A High-Fidelity 3D Micromechanical Model of Ventricular Myocardium. Lecture notes in computer science. 12738. 168–177. 5 indexed citations

11.

Liu, Hao, João S. Soares, John Walmsley, et al.. (2021). The impact of myocardial compressibility on organ-level simulations of the normal and infarcted heart. Scientific Reports. 11(1). 13466–13466. 21 indexed citations

12.

Li, David S., Reza Avazmohammadi, Christopher B. Rodell, et al.. (2020). How hydrogel inclusions modulate the local mechanical response in early and fully formed post-infarcted myocardium. Acta Biomaterialia. 114. 296–306. 29 indexed citations

13.

Avazmohammadi, Reza, João S. Soares, David S. Li, et al.. (2020). On the in vivo systolic compressibility of left ventricular free wall myocardium in the normal and infarcted heart. Journal of Biomechanics. 107. 109767–109767. 18 indexed citations

14.

Li, David S., Reza Avazmohammadi, Samer Merchant, et al.. (2019). Insights into the passive mechanical behavior of left ventricular myocardium using a robust constitutive model based on full 3D kinematics. Journal of the mechanical behavior of biomedical materials. 103. 103508–103508. 34 indexed citations

15.

Avazmohammadi, Reza, et al.. (2019). Interactions Between Structural Remodeling and Hypertrophy in the Right Ventricle in Response to Pulmonary Arterial Hypertension. Journal of Biomechanical Engineering. 141(9). 34 indexed citations

16.

Avazmohammadi, Reza, João S. Soares, David S. Li, et al.. (2019). A Contemporary Look at Biomechanical Models of Myocardium. Annual Review of Biomedical Engineering. 21(1). 417–442. 59 indexed citations

17.

Avazmohammadi, Reza, João S. Soares, David S. Li, et al.. (2018). A Computational Cardiac Model for the Adaptation to Pulmonary Arterial Hypertension in the Rat. Annals of Biomedical Engineering. 47(1). 138–153. 40 indexed citations

18.

Avazmohammadi, Reza, David S. Li, Thomas Leahy, et al.. (2017). An integrated inverse model-experimental approach to determine soft tissue three-dimensional constitutive parameters: application to post-infarcted myocardium. Biomechanics and Modeling in Mechanobiology. 17(1). 31–53. 45 indexed citations

19.

Soares, João S., David S. Li, Eric Lai, et al.. (2017). Modeling of Myocardium Compressibility and its Impact in Computational Simulations of the Healthy and Infarcted Heart. Lecture notes in computer science. 10263. 493–501. 9 indexed citations

20.

Li, David S., Juliane Zimmermann, & Herbert Levine. (2016). Modeling closure of circular wounds through coordinated collective motion. Physical Biology. 13(1). 16006–16006. 8 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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