Rohan Shad

1.0k total citations
20 papers, 416 citations indexed

About

Rohan Shad is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Biomedical Engineering. According to data from OpenAlex, Rohan Shad has authored 20 papers receiving a total of 416 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Pulmonary and Respiratory Medicine, 7 papers in Surgery and 7 papers in Biomedical Engineering. Recurrent topics in Rohan Shad's work include Aortic Disease and Treatment Approaches (11 papers), Aortic aneurysm repair treatments (8 papers) and Mechanical Circulatory Support Devices (6 papers). Rohan Shad is often cited by papers focused on Aortic Disease and Treatment Approaches (11 papers), Aortic aneurysm repair treatments (8 papers) and Mechanical Circulatory Support Devices (6 papers). Rohan Shad collaborates with scholars based in United States and South Korea. Rohan Shad's co-authors include William Hiesinger, Robyn Fong, Michael P. Fischbein, Albert J Pedroza, Paul Cheng, Thomas Quertermous, Ken Nakamura, Robert Wirka, Cristiana Iosef and Curtis P. Langlotz and has published in prestigious journals such as Circulation, Nature Communications and Arteriosclerosis Thrombosis and Vascular Biology.

In The Last Decade

Rohan Shad

19 papers receiving 414 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rohan Shad United States 9 141 132 93 77 75 20 416
Myriam Cilla Spain 13 104 0.7× 210 1.6× 154 1.7× 51 0.7× 12 0.2× 32 566
Kyoung Won Nam South Korea 10 89 0.6× 100 0.8× 20 0.2× 47 0.6× 7 0.1× 63 415
William Karlon United States 9 34 0.2× 175 1.3× 191 2.1× 182 2.4× 26 0.3× 20 625
Cristina Cavinato United States 14 185 1.3× 137 1.0× 83 0.9× 34 0.4× 67 0.9× 29 394
Joni Leppänen Finland 10 75 0.5× 128 1.0× 41 0.4× 59 0.8× 6 0.1× 12 382
Ancong Wang China 11 92 0.7× 120 0.9× 39 0.4× 50 0.6× 4 0.1× 20 305
Martin A. Zulliger Switzerland 11 148 1.0× 439 3.3× 197 2.1× 42 0.5× 188 2.5× 16 672
Allison Post United States 9 53 0.4× 100 0.8× 94 1.0× 42 0.5× 8 0.1× 31 324
Marija Vukicevic United States 15 127 0.9× 411 3.1× 346 3.7× 191 2.5× 8 0.1× 38 1.1k
Pengfei Lu United States 16 52 0.4× 52 0.4× 75 0.8× 264 3.4× 29 0.4× 47 638

Countries citing papers authored by Rohan Shad

Since Specialization
Citations

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

Fields of papers citing papers by Rohan Shad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rohan Shad

This figure shows the co-authorship network connecting the top 25 collaborators of Rohan Shad. A scholar is included among the top collaborators of Rohan Shad 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 Rohan Shad. Rohan Shad 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.
Dalal, Alex R., Albert J Pedroza, Wenduo Gu, et al.. (2025). Chemokine (C-C Motif) Ligand 2 Expressing Adventitial Fibroblast Expansion During Loeys-Dietz Syndrome Aortic Aneurysm Formation. Arteriosclerosis Thrombosis and Vascular Biology. 45(5). 722–742. 2 indexed citations
2.
Iyengar, Amit, Jason J. Han, Rohan Shad, et al.. (2025). Impella 5.5 for Preoperative Optimization in the Setting of Ruptured Papillary Muscle. PubMed. 14(1). e14–e16.
3.
Shin, Max, et al.. (2024). Durable left ventricular assist devices: a contemporary review of their benefits and drawbacks. Expert Review of Medical Devices. 21(12). 1111–1120. 1 indexed citations
4.
Pedroza, Albert J, Paul Cheng, Alex R. Dalal, et al.. (2023). Early clinical outcomes and molecular smooth muscle cell phenotyping using a prophylactic aortic arch replacement strategy in Loeys-Dietz syndrome. Journal of Thoracic and Cardiovascular Surgery. 166(5). e332–e376. 2 indexed citations
5.
Pedroza, Albert J, Alex R. Dalal, Rohan Shad, et al.. (2023). Smooth Muscle Cell Klf4 Expression Is Not Required for Phenotype Modulation or Aneurysm Formation in Marfan Syndrome Mice—Brief Report. Arteriosclerosis Thrombosis and Vascular Biology. 43(6). 971–978. 4 indexed citations
6.
Shad, Rohan, et al.. (2022). Controlled Comparison of Simulated Hemodynamics Across Tricuspid and Bicuspid Aortic Valves. Annals of Biomedical Engineering. 50(9). 1053–1072. 8 indexed citations
7.
Pedroza, Albert J, Alex R. Dalal, Rohan Shad, et al.. (2022). Embryologic Origin Influences Smooth Muscle Cell Phenotypic Modulation Signatures in Murine Marfan Syndrome Aortic Aneurysm. Arteriosclerosis Thrombosis and Vascular Biology. 42(9). 1154–1168. 23 indexed citations
8.
Shad, Rohan, Amy Kyungwon Han, Robyn Fong, et al.. (2022). RVEX: Right Ventricular External Device for Biomimetic Support and Monitoring of the Right Heart. Advanced Materials Technologies. 7(8). 7 indexed citations
9.
Abramson, Alex, Carmel T. Chan, Yasser Khan, et al.. (2022). A flexible electronic strain sensor for the real-time monitoring of tumor regression. Science Advances. 8(37). eabn6550–eabn6550. 85 indexed citations
10.
Shad, Rohan, et al.. (2021). A design-based model of the aortic valve for fluid-structure interaction. Biomechanics and Modeling in Mechanobiology. 20(6). 2413–2435. 20 indexed citations
11.
Shad, Rohan, Nicolas Quach, Robyn Fong, et al.. (2021). Predicting post-operative right ventricular failure using video-based deep learning. Nature Communications. 12(1). 5192–5192. 45 indexed citations
12.
Shad, Rohan, Robyn Fong, Nicolas Quach, et al.. (2021). Patient-Specific Computational Fluid Dynamics Reveal Localized Flow Patterns Predictive of Post–Left Ventricular Assist Device Aortic Incompetence. Circulation Heart Failure. 14(7). e008034–e008034. 11 indexed citations
13.
Shad, Rohan, et al.. (2021). Computational Fluid Dynamics Simulations to Predict False Lumen Enlargement After Surgical Repair of Type-A Aortic Dissection. Seminars in Thoracic and Cardiovascular Surgery. 34(2). 443–448. 7 indexed citations
14.
Shad, Rohan, Robyn Fong, Nicolas Quach, et al.. (2021). Long-term survival in patients with post-LVAD right ventricular failure: multi-state modelling with competing outcomes of heart transplant. The Journal of Heart and Lung Transplantation. 40(8). 778–785. 10 indexed citations
15.
16.
Shad, Rohan, John P. Cunningham, Euan A. Ashley, Curtis P. Langlotz, & William Hiesinger. (2021). Designing clinically translatable artificial intelligence systems for high-dimensional medical imaging. Nature Machine Intelligence. 3(11). 929–935. 35 indexed citations
17.
Shad, Rohan, et al.. (2021). Abstract 13417: Fluid-Structure Interaction Simulations of Bicuspid Aortic Valve Disease. Circulation. 144(Suppl_1). 1 indexed citations
18.
19.
Fong, Robyn, et al.. (2020). Use of patient-specific computational models for optimization of aortic insufficiency after implantation of left ventricular assist device. Journal of Thoracic and Cardiovascular Surgery. 162(5). 1556–1563. 17 indexed citations
20.
Pedroza, Albert J, Rohan Shad, Paul Cheng, et al.. (2020). Single-Cell Transcriptomic Profiling of Vascular Smooth Muscle Cell Phenotype Modulation in Marfan Syndrome Aortic Aneurysm. Arteriosclerosis Thrombosis and Vascular Biology. 40(9). 2195–2211. 135 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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