Sukrit Narula

1.5k total citations · 1 hit paper
19 papers, 829 citations indexed

About

Sukrit Narula is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Sukrit Narula has authored 19 papers receiving a total of 829 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cardiology and Cardiovascular Medicine, 3 papers in Surgery and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Sukrit Narula's work include Cardiovascular Function and Risk Factors (5 papers), Genetic Associations and Epidemiology (3 papers) and Mitochondrial Function and Pathology (2 papers). Sukrit Narula is often cited by papers focused on Cardiovascular Function and Risk Factors (5 papers), Genetic Associations and Epidemiology (3 papers) and Mitochondrial Function and Pathology (2 papers). Sukrit Narula collaborates with scholars based in United States, Canada and Ireland. Sukrit Narula's co-authors include Partho P. Sengupta, Alaa Mabrouk Salem Omar, Khader Shameer, Joel T. Dudley, Guillaume Paré, Michael Chong, Marie Pigeyre, Jagat Narula, Pedrum Mohammadi‐Shemirani and Salim Yusuf and has published in prestigious journals such as The Lancet, Journal of the American College of Cardiology and Neurology.

In The Last Decade

Sukrit Narula

19 papers receiving 819 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Surrogate Adiposity Markers and Mortality

2023 74 citations Michael Chong, Pedrum Mohammadi‐Shemirani et al. JAMA Network Open profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sukrit Narula United States	13	348	218	125	98	88	19	829
Dustin N. Hartzel United States	13	353 1.0×	128 0.6×	68 0.5×	148 1.5×	61 0.7×	24	740
Linyuan Jing United States	16	615 1.8×	288 1.3×	121 1.0×	44 0.4×	159 1.8×	36	855
Fima Macheret United States	10	401 1.2×	66 0.3×	83 0.7×	65 0.7×	115 1.3×	21	713
Joseph B. Leader United States	13	296 0.9×	88 0.4×	112 0.9×	133 1.4×	74 0.8×	23	748
Hyue Mee Kim South Korea	18	615 1.8×	174 0.8×	114 0.9×	71 0.7×	120 1.4×	41	868
Xiaochun Zhang China	18	352 1.0×	434 2.0×	162 1.3×	134 1.4×	139 1.6×	76	1.2k
Mats Christian Højbjerg Lassen Denmark	13	808 2.3×	521 2.4×	161 1.3×	57 0.6×	176 2.0×	90	1.3k
Sirish Shrestha United States	11	414 1.2×	414 1.9×	96 0.8×	33 0.3×	67 0.8×	26	810
Aaron Peace United Kingdom	23	678 1.9×	260 1.2×	477 3.8×	66 0.7×	72 0.8×	82	1.2k
Martin Sillesen Denmark	22	336 1.0×	80 0.4×	252 2.0×	231 2.4×	174 2.0×	82	1.3k

Countries citing papers authored by Sukrit Narula

Since Specialization

Citations

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

Fields of papers citing papers by Sukrit Narula

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sukrit Narula

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

All Works

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19 of 19 papers shown

Lanktree, Matthew B., Nicolas Perrot, Andrew Smyth, et al.. (2023). A novel multi-ancestry proteome-wide Mendelian randomization study implicates extracellular proteins, tubular cells, and fibroblasts in estimated glomerular filtration rate regulation. Kidney International. 104(6). 1170–1184. 12 indexed citations

Krittanawong, Chayakrit, Alaa Mabrouk Salem Omar, Sukrit Narula, et al.. (2023). Deep Learning for Echocardiography: Introduction for Clinicians and Future Vision: State-of-the-Art Review. Life. 13(4). 1029–1029. 7 indexed citations

Chong, Michael, Pedrum Mohammadi‐Shemirani, Robert W. Morton, et al.. (2023). Surrogate Adiposity Markers and Mortality. JAMA Network Open. 6(9). e2334836–e2334836. 74 indexed citations breakdown →

Mohammadi‐Shemirani, Pedrum, Michael Chong, Sukrit Narula, et al.. (2022). Elevated Lipoprotein(a) and Risk of Atrial Fibrillation. Journal of the American College of Cardiology. 79(16). 1579–1590. 63 indexed citations

Chong, Michael, Pedrum Mohammadi‐Shemirani, Nicolas Perrot, et al.. (2022). GWAS and ExWAS of blood mitochondrial DNA copy number identifies 71 loci and highlights a potential causal role in dementia. eLife. 11. 71 indexed citations

Kiflen, Michel, Shihong Mao, Ricky Lali, et al.. (2022). Cost-Effectiveness of Polygenic Risk Scores to Guide Statin Therapy for Cardiovascular Disease Prevention. Circulation Genomic and Precision Medicine. 15(5). e003423–e003423. 27 indexed citations

Somani, Sulaiman, Hossein Honarvar, Sukrit Narula, et al.. (2021). Development of a machine learning model using electrocardiogram signals to improve acute pulmonary embolism screening. European Heart Journal - Digital Health. 3(1). 56–66. 19 indexed citations

Chong, Michael, Sukrit Narula, Robert W. Morton, et al.. (2021). Mitochondrial DNA Copy Number as a Marker and Mediator of Stroke Prognosis. Neurology. 98(5). e470–e482. 19 indexed citations

Narula, Sukrit, William F. McIntyre, Richard Whitlock, et al.. (2020). Continued versus interrupted direct oral anticoagulation for cardiac electronic device implantation: A systematic review. Pacing and Clinical Electrophysiology. 43(11). 1373–1381. 3 indexed citations

10.

Narula, Sukrit, Salim Yusuf, Michael Chong, et al.. (2020). Plasma ACE2 and risk of death or cardiometabolic diseases: a case-cohort analysis. The Lancet. 396(10256). 968–976. 113 indexed citations

11.

Nelson, Bret P., Sukrit Narula, Edgar Argulian, Anjali Bhagra, & Jagat Narula. (2019). Including Insonation in Undergraduate Medical School Curriculum. Annals of Global Health. 85(1). 135–135. 12 indexed citations

12.

McClure, G., Eric Kaplovitch, Sukrit Narula, Vinai Bhagirath, & Sonia S. Anand. (2019). Rivaroxaban and Aspirin in Peripheral Vascular Disease: a Review of Implementation Strategies and Management of Common Clinical Scenarios. Current Cardiology Reports. 21(10). 115–115. 13 indexed citations

13.

Goetz, Celine, John Di Capua, Irene Lee, et al.. (2019). A Student-Led, Multifaceted Intervention to Decrease Unnecessary Folate Ordering in the Inpatient Setting. Journal for Healthcare Quality. 41(5). e54–e60. 2 indexed citations

14.

Lancaster, Megan, Alaa Mabrouk Salem Omar, Sukrit Narula, et al.. (2018). Phenotypic Clustering of Left Ventricular Diastolic Function Parameters. JACC. Cardiovascular imaging. 12(7). 1149–1161. 67 indexed citations

15.

Omar, Alaa Mabrouk Salem, et al.. (2018). COMPUTATIONAL UNSUPERVISED CLUSTERING OF ECHOCARDIOGRAPHIC VARIABLES FOR THE ASSESSMENT OF DIASTOLIC DYSFUNCTION SEVERITY. Journal of the American College of Cardiology. 71(11). A1519–A1519. 2 indexed citations

16.

Omar, Alaa Mabrouk Salem, Sukrit Narula, Gianni Pedrizzetti, et al.. (2017). Precision Phenotyping in Heart Failure and Pattern Clustering of Ultrasound Data for the Assessment of Diastolic Dysfunction. JACC. Cardiovascular imaging. 10(11). 1291–1303. 57 indexed citations

17.

Narula, Sukrit, Khader Shameer, Alaa Mabrouk Salem Omar, Joel T. Dudley, & Partho P. Sengupta. (2016). Machine-Learning Algorithms to Automate Morphological and Functional Assessments in 2D Echocardiography. Journal of the American College of Cardiology. 68(21). 2287–2295. 251 indexed citations

18.

Omar, Alaa Mabrouk Salem, Khader Shameer, Sukrit Narula, et al.. (2016). IMAGING BASED BIG DATA AND MACHINE LEARNING FRAMEWORK FOR RAPID PHENOTYPING OF LEFT VENTRICULAR DIASTOLIC FUNCTION. Journal of the American College of Cardiology. 67(13). 1614–1614. 3 indexed citations

19.

Gulati, Pooja, et al.. (1997). Evaluation of plasma serotonin concentration in acute appendicitis.. PubMed. 16(1). 18–9. 14 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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