Sethuraman Sankaran
- Surgery top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Biomedical Engineering top 10%
- Radiology, Nuclear Medicine and Imaging top 5%
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Alison L. MarsdenCharles A. TaylorHyun Jin KimAndrew M. KahnKarl DeisserothGilwoo ChoiNicholas ZabarasMahdi Esmaily
- Topics
- Coronary Interventions and Diagnostics (10 papers)Cardiac Imaging and Diagnostics (7 papers)Probabilistic and Robust Engineering Design (5 papers)
- Journals
- NatureCellActa Materialia
- Partner nations
- United StatesSouth KoreaAustria
In The Last Decade
Sethuraman Sankaran
23 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 126
- Surgery 551
- Cardiology and Cardiovascular Medicine 442
- Biomedical Engineering 377
- Radiology, Nuclear Medicine and Imaging 328
- Cellular and Molecular Neuroscience 263
Countries citing papers authored by Sethuraman Sankaran
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 49 | |
| 2 | 19 | |
| 3 | 127 | |
| 4 | 162 | |
| 5 | 313 | |
| 6 | 91 | |
| 7 | 41 | |
| 8 | 30 | |
| 9 | 5 | |
| 10 | 29 | |
| 11 | Fast geometric sensitivity analysis in hemodynamic simulations using a machine learning approach | 1 |
| 12 | 88 | |
| 13 | 182 | |
| 14 | 8 | |
| 15 | 81 | |
| 16 | 32 | |
| 17 | 120 | |
| 18 | 26 | |
| 19 | 5 | |
| 20 | 36 |
About Sethuraman Sankaran
Sethuraman Sankaran is a scholar working on Statistics, Probability and Uncertainty, Cardiology and Cardiovascular Medicine and Radiology, Nuclear Medicine and Imaging, having authored 24 papers that have together received 1.5k indexed citations. Recurring topics across this work include Coronary Interventions and Diagnostics (10 papers), Cardiac Imaging and Diagnostics (7 papers) and Probabilistic and Robust Engineering Design (5 papers). The work is most often cited by research in Biophysics (145 citations), Cardiology and Cardiovascular Medicine (442 citations) and Statistics, Probability and Uncertainty (128 citations). Sethuraman Sankaran has collaborated with scholars based in United States, South Korea and Austria. Frequent 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. Their work appears in journals such as Nature, Cell and Acta Materialia.
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.