Sethuraman Sankaran

2.2k total citations
24 papers, 1.5k citations indexed

About

Sethuraman Sankaran is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Sethuraman Sankaran has authored 24 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Surgery, 8 papers in Cardiology and Cardiovascular Medicine and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Sethuraman Sankaran's work include Coronary Interventions and Diagnostics (10 papers), Cardiac Imaging and Diagnostics (7 papers) and Probabilistic and Robust Engineering Design (5 papers). Sethuraman Sankaran is often cited by papers focused on Coronary Interventions and Diagnostics (10 papers), Cardiac Imaging and Diagnostics (7 papers) and Probabilistic and Robust Engineering Design (5 papers). Sethuraman Sankaran collaborates with scholars based in United States, South Korea and Austria. Sethuraman Sankaran's co-authors include Alison L. Marsden, Charles A. Taylor, Hyun Jin Kim, Andrew M. Kahn, Karl Deisseroth, Gilwoo Choi, Nicholas Zabaras, Mahdi Esmaily, Elaine Tseng and Julius M. Guccione and has published in prestigious journals such as Nature, Cell and Acta Materialia.

In The Last Decade

Sethuraman Sankaran

23 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sethuraman Sankaran United States 19 551 442 377 328 263 24 1.5k
Alessio Gizzi Italy 23 225 0.4× 535 1.2× 527 1.4× 166 0.5× 82 0.3× 90 1.6k
Tommaso Mansi United States 24 220 0.4× 649 1.5× 442 1.2× 646 2.0× 47 0.2× 80 1.8k
Zeike A. Taylor United Kingdom 23 234 0.4× 73 0.2× 783 2.1× 897 2.7× 142 0.5× 73 2.5k
Ian J. LeGrice New Zealand 31 733 1.3× 2.8k 6.3× 1.3k 3.4× 750 2.3× 349 1.3× 78 3.9k
Daniel B. Ennis United States 29 372 0.7× 1.7k 3.8× 566 1.5× 1.7k 5.2× 58 0.2× 180 3.2k
Gregory B. Sands New Zealand 19 204 0.4× 921 2.1× 340 0.9× 341 1.0× 101 0.4× 64 1.4k
Bruce H. Smaill New Zealand 37 766 1.4× 3.3k 7.4× 1.5k 4.0× 932 2.8× 403 1.5× 103 4.7k
C.A. Grimbergen Netherlands 26 531 1.0× 502 1.1× 923 2.4× 194 0.6× 328 1.2× 90 2.4k
Hannu Eskola Finland 25 164 0.3× 105 0.2× 260 0.7× 857 2.6× 151 0.6× 84 2.0k
S. Tungjitkusolmun Thailand 19 119 0.2× 329 0.7× 877 2.3× 260 0.8× 64 0.2× 63 1.5k

Countries citing papers authored by Sethuraman Sankaran

Since Specialization
Citations

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

Fields of papers citing papers by Sethuraman Sankaran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sethuraman Sankaran

This figure shows the co-authorship network connecting the top 25 collaborators of Sethuraman Sankaran. A scholar is included among the top collaborators of Sethuraman Sankaran 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 Sethuraman Sankaran. Sethuraman Sankaran 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.
Modi, Bhavik, Sethuraman Sankaran, Hyun Jin Kim, et al.. (2019). Predicting the Physiological Effect of Revascularization in Serially Diseased Coronary Arteries. Circulation Cardiovascular Interventions. 12(2). e007577–e007577. 49 indexed citations
2.
Nakanishi, Rine, Sethuraman Sankaran, Leo Grady, et al.. (2018). Automated estimation of image quality for coronary computed tomographic angiography using machine learning. European Radiology. 28(9). 4018–4026. 19 indexed citations
3.
Sankaran, Sethuraman, Hyun Jin Kim, Gilwoo Choi, & Charles A. Taylor. (2016). Uncertainty quantification in coronary blood flow simulations: Impact of geometry, boundary conditions and blood viscosity. Journal of Biomechanics. 49(12). 2540–2547. 127 indexed citations
4.
Tomer, Raju, Matthew Lovett-Barron, Isaac Kauvar, et al.. (2015). SPED Light Sheet Microscopy: Fast Mapping of Biological System Structure and Function. Cell. 163(7). 1796–1806. 162 indexed citations
5.
Rajasethupathy, Priyamvada, Sethuraman Sankaran, James H. Marshel, et al.. (2015). Projections from neocortex mediate top-down control of memory retrieval. Nature. 526(7575). 653–659. 313 indexed citations
6.
Choi, Gilwoo, Joo Myung Lee, Hyun Jin Kim, et al.. (2015). Coronary Artery Axial Plaque Stress and its Relationship With Lesion Geometry. JACC. Cardiovascular imaging. 8(10). 1156–1166. 91 indexed citations
7.
Sankaran, Sethuraman, Leo Grady, & Charles A. Taylor. (2015). Impact of geometric uncertainty on hemodynamic simulations using machine learning. Computer Methods in Applied Mechanics and Engineering. 297. 167–190. 41 indexed citations
8.
Ramachandra, Abhay B., Sethuraman Sankaran, Jay D. Humphrey, & Alison L. Marsden. (2014). Computational Simulation of the Adaptive Capacity of Vein Grafts in Response to Increased Pressure. Journal of Biomechanical Engineering. 137(3). 30 indexed citations
9.
Sankaran, Sethuraman, Leo Grady, & Charles A. Taylor. (2014). Real-Time Sensitivity Analysis of Blood Flow Simulations to Lumen Segmentation Uncertainty. Lecture notes in computer science. 17(Pt 2). 1–8. 5 indexed citations
10.
Sankaran, Sethuraman, Jay D. Humphrey, & Alison L. Marsden. (2013). An efficient framework for optimization and parameter sensitivity analysis in arterial growth and remodeling computations. Computer Methods in Applied Mechanics and Engineering. 256. 200–210. 29 indexed citations
11.
Sankaran, Sethuraman, Leo Grady, & Charles Taylor. (2013). Fast geometric sensitivity analysis in hemodynamic simulations using a machine learning approach. Bulletin of the American Physical Society. 1 indexed citations
12.
Schriefl, Andreas Jörg, Andreas Reinisch, Sethuraman Sankaran, David M. Pierce, & Gerhard A. Holzapfel. (2012). Quantitative assessment of collagen fibre orientations from two-dimensional images of soft biological tissues. Journal of The Royal Society Interface. 9(76). 3081–3093. 88 indexed citations
13.
Sankaran, Sethuraman, Mahdi Esmaily, Andrew M. Kahn, et al.. (2012). Patient-Specific Multiscale Modeling of Blood Flow for Coronary Artery Bypass Graft Surgery. Annals of Biomedical Engineering. 40(10). 2228–2242. 182 indexed citations
14.
15.
Kahn, Andrew M., et al.. (2011). Image-based modeling of hemodynamics in coronary artery aneurysms caused by Kawasaki disease. Biomechanics and Modeling in Mechanobiology. 11(6). 915–932. 81 indexed citations
16.
Sankaran, Sethuraman & Alison L. Marsden. (2010). The impact of uncertainty on shape optimization of idealized bypass graft models in unsteady flow. Physics of Fluids. 22(12). 32 indexed citations
17.
Sankaran, Sethuraman & Alison L. Marsden. (2010). A Stochastic Collocation Method for Uncertainty Quantification and Propagation in Cardiovascular Simulations. Journal of Biomechanical Engineering. 133(3). 31001–31001. 120 indexed citations
18.
Sankaran, Sethuraman & Nicholas Zabaras. (2007). Computing property variability of polycrystals induced by grain size and orientation uncertainties. Acta Materialia. 55(7). 2279–2290. 26 indexed citations
19.
Zabaras, Nicholas & Sethuraman Sankaran. (2007). An Information-Theoretic Approach to Stochastic Materials Modeling. Computing in Science & Engineering. 9(2). 30–39. 5 indexed citations
20.
Sankaran, Sethuraman & Nicholas Zabaras. (2006). A maximum entropy approach for property prediction of random microstructures. Acta Materialia. 54(8). 2265–2276. 36 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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