Sujith Kuruvilla

1.1k total citations
20 papers, 769 citations indexed

About

Sujith Kuruvilla is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Sujith Kuruvilla has authored 20 papers receiving a total of 769 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cardiology and Cardiovascular Medicine, 8 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Biomedical Engineering. Recurrent topics in Sujith Kuruvilla's work include Cardiac Imaging and Diagnostics (8 papers), Blood Pressure and Hypertension Studies (8 papers) and Advanced MRI Techniques and Applications (7 papers). Sujith Kuruvilla is often cited by papers focused on Cardiac Imaging and Diagnostics (8 papers), Blood Pressure and Hypertension Studies (8 papers) and Advanced MRI Techniques and Applications (7 papers). Sujith Kuruvilla collaborates with scholars based in United States, Japan and Spain. Sujith Kuruvilla's co-authors include Christopher M. Kramer, Michael Salerno, Michael J. Lipinski, Arabindra B. Katwal, Frederick H. Epstein, Joseph E. Schwartz, Thomas G. Pickering, Ellen C. Keeley, Rajesh Janardhanan and Patrick F Antkowiak and has published in prestigious journals such as Journal of the American College of Cardiology, Hypertension and Psychosomatic Medicine.

In The Last Decade

Sujith Kuruvilla

20 papers receiving 751 citations

Peers

Sujith Kuruvilla
Sitara Khan United Kingdom
Matthew K. Burrage United Kingdom
A. M. Beek Netherlands
Ioannis Ntalas Greece
Gary Heller United States
Masatsugu Iwase Japan
Martin Huemer Germany
John Gialafos Greece
Kenichiro Yuba Japan
François Brigadeau France
Sitara Khan United Kingdom
Sujith Kuruvilla
Citations per year, relative to Sujith Kuruvilla Sujith Kuruvilla (= 1×) peers Sitara Khan

Countries citing papers authored by Sujith Kuruvilla

Since Specialization
Citations

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

Fields of papers citing papers by Sujith Kuruvilla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sujith Kuruvilla

This figure shows the co-authorship network connecting the top 25 collaborators of Sujith Kuruvilla. A scholar is included among the top collaborators of Sujith Kuruvilla 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 Sujith Kuruvilla. Sujith Kuruvilla 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.
Shaw, P.W., Jamieson M. Bourque, Sujith Kuruvilla, et al.. (2018). Quantitative cardiovascular magnetic resonance perfusion imaging identifies reduced flow reserve in microvascular coronary artery disease. Journal of Cardiovascular Magnetic Resonance. 20(1). 14–14. 69 indexed citations
2.
Pan, Jonathan A., Erik Michaëlsson, P.W. Shaw, et al.. (2018). Extracellular volume by cardiac magnetic resonance is associated with biomarkers of inflammation in hypertensive heart disease. Journal of Hypertension. 37(1). 65–72. 13 indexed citations
3.
Kuruvilla, Sujith, Rajesh Janardhanan, Patrick F Antkowiak, et al.. (2015). Increased Extracellular Volume and Altered Mechanics Are Associated With LVH in Hypertensive Heart Disease, Not Hypertension Alone. JACC. Cardiovascular imaging. 8(2). 172–180. 121 indexed citations
4.
Yang, Yang, Sujith Kuruvilla, Craig H. Meyer, et al.. (2014). High-resolution quantitative spiral perfusion for microvascular coronary dysfunction detection. Journal of Cardiovascular Magnetic Resonance. 16. P227–P227. 1 indexed citations
5.
Bilchick, Kenneth C., Sujith Kuruvilla, Yasmin S. Hamirani, et al.. (2014). Impact of Mechanical Activation, Scar, and Electrical Timing on Cardiac Resynchronization Therapy Response and Clinical Outcomes. Journal of the American College of Cardiology. 63(16). 1657–1666. 101 indexed citations
6.
Salerno, Michael, Angela M. Taylor, Yang Yang, et al.. (2014). Adenosine stress CMR with variable density spiral pulse sequences accurately detects CAD with minimal dark-rim artifacts. Journal of Cardiovascular Magnetic Resonance. 16. O58–O58. 1 indexed citations
7.
Kuruvilla, Sujith, Rajesh Janardhanan, Yang Yang, et al.. (2014). Increased extracellular volume and altered mechanics are associated with left ventricular hypertrophy in hypertensive heart disease, not hypertension alone. Journal of Cardiovascular Magnetic Resonance. 16. P393–P393. 1 indexed citations
8.
Salerno, Michael, Angela M. Taylor, Yang Yang, et al.. (2014). Adenosine Stress Cardiovascular Magnetic Resonance With Variable-Density Spiral Pulse Sequences Accurately Detects Coronary Artery Disease. Circulation Cardiovascular Imaging. 7(4). 639–646. 16 indexed citations
9.
Yang, Yang, Xiaohong Chen, Frederick H. Epstein, et al.. (2014). Motion-corrected compressed-sensing enables robust spiral first-pass perfusion imaging with whole heart coverage. Journal of Cardiovascular Magnetic Resonance. 16. O81–O81. 3 indexed citations
10.
Yang, Yang, Sujith Kuruvilla, Craig H. Meyer, Christopher M. Kramer, & Michael Salerno. (2013). Quantification of myocardial perfusion with spiral pulse sequences. Journal of Cardiovascular Magnetic Resonance. 15. E12–E12. 4 indexed citations
11.
Kuruvilla, Sujith & Christopher M. Kramer. (2013). Coronary microvascular dysfunction in women: an overview of diagnostic strategies. Expert Review of Cardiovascular Therapy. 11(11). 1515–1525. 31 indexed citations
12.
Kuruvilla, Sujith, et al.. (2013). Late Gadolinium Enhancement on Cardiac Magnetic Resonance Predicts Adverse Cardiovascular Outcomes in Nonischemic Cardiomyopathy. Circulation Cardiovascular Imaging. 7(2). 250–258. 266 indexed citations
13.
Eguchi, Katsumi, Sujith Kuruvilla, Joji Ishikawa, Joseph E. Schwartz, & Thomas G. Pickering. (2012). A novel and simple protocol for the validation of home blood pressure monitors in clinical practice. Blood Pressure Monitoring. 17(5). 210–213. 10 indexed citations
14.
Eguchi, Katsumi, Sujith Kuruvilla, Joji Ishikawa, et al.. (2011). Correlations between different measures of clinic, home, and ambulatory blood pressure in hypertensive patients. Blood Pressure Monitoring. 16(3). 142–148. 14 indexed citations
15.
Eguchi, Katsumi, Sujith Kuruvilla, Gbenga Ogedegbe, et al.. (2009). What is the optimal interval between successive home blood pressure readings using an automated oscillometric device?. Journal of Hypertension. 27(6). 1172–1177. 39 indexed citations
16.
Shimbo, Daichi, William F. Chaplin, Sujith Kuruvilla, et al.. (2009). Hostility and Platelet Reactivity in Individuals Without a History of Cardiovascular Disease Events. Psychosomatic Medicine. 71(7). 741–747. 14 indexed citations
17.
Shimbo, Daichi, Sujith Kuruvilla, Donald Haas, et al.. (2009). Preventing misdiagnosis of ambulatory hypertension: algorithm using office and home blood pressures. Journal of Hypertension. 27(9). 1775–1783. 17 indexed citations
18.
Ishikawa, Joji, et al.. (2008). Changes in Home Versus Clinic Blood Pressure With Antihypertensive Treatments. Hypertension. 52(5). 856–864. 31 indexed citations
19.
Barré, Paul E., et al.. (1985). Long-term reduced time hemoperfusion-hemodialysis compared to standard dialysis: a preliminary crossover analysis.. PubMed. 31. 572–6. 8 indexed citations
20.
Tm, Chang, et al.. (1982). Phase one clinical trial of a new composite artificial kidney: a single unit combining dialysis with hemoperfusion.. PubMed. 28. 43–8. 9 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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