Deepak Bhakta

2.3k total citations
31 papers, 1.1k citations indexed

About

Deepak Bhakta is a scholar working on Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Deepak Bhakta has authored 31 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cardiology and Cardiovascular Medicine, 9 papers in Cellular and Molecular Neuroscience and 8 papers in Molecular Biology. Recurrent topics in Deepak Bhakta's work include Cardiac Arrhythmias and Treatments (9 papers), Genetic Neurodegenerative Diseases (9 papers) and Cardiac electrophysiology and arrhythmias (9 papers). Deepak Bhakta is often cited by papers focused on Cardiac Arrhythmias and Treatments (9 papers), Genetic Neurodegenerative Diseases (9 papers) and Cardiac electrophysiology and arrhythmias (9 papers). Deepak Bhakta collaborates with scholars based in United States, Japan and Russia. Deepak Bhakta's co-authors include William J. Groh, Changyu Shen, Robert M. Pascuzzi, John M. Miller, Douglas P. Zipes, Mithilesh K. Das, Mark A. Michael, Waddah Maskoun, Hussam Suradi and Girish V. Nair and has published in prestigious journals such as New England Journal of Medicine, Circulation and SHILAP Revista de lepidopterología.

In The Last Decade

Deepak Bhakta

31 papers receiving 1.1k citations

Peers

Deepak Bhakta
Heather Smith United States
Richard Malamut United States
C. M. C. van Campen United States
Wyun Kon Park South Korea
Margaret J. Strieper United States
Mark A. Gerhardt United States
Campbell Liles United States
John J. Michele United States
Sarah E. Berini United States
Heather Smith United States
Deepak Bhakta
Citations per year, relative to Deepak Bhakta Deepak Bhakta (= 1×) peers Heather Smith

Countries citing papers authored by Deepak Bhakta

Since Specialization
Citations

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

Fields of papers citing papers by Deepak Bhakta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepak Bhakta

This figure shows the co-authorship network connecting the top 25 collaborators of Deepak Bhakta. A scholar is included among the top collaborators of Deepak Bhakta 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 Deepak Bhakta. Deepak Bhakta 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.
Hutchinson, Jolie, et al.. (2024). A systematic review to evaluate the efficacy and safety of high-dose vitamin D supplementation in adults with cystic fibrosis. Proceedings of The Nutrition Society. 83(OCE4). 1 indexed citations
2.
Mar, Philip L., Ali Khan, Rajesh Kabra, et al.. (2023). Poorer outcomes associated with more invasive lead management strategies for Abbott Riata® leads: a large, multicenter experience. Journal of Interventional Cardiac Electrophysiology. 67(5). 1127–1132. 1 indexed citations
3.
Cullen, Michael W., Julie B. Damp, Friederike K. Keating, et al.. (2021). Burnout and Well-Being Among Cardiology Fellowship Program Directors. Journal of the American College of Cardiology. 78(17). 1717–1726. 6 indexed citations
4.
Mar, Philip L., Guanhua Chen, Rajesh Kabra, et al.. (2020). Management and long-term outcomes associated with recalled implantable cardioverter-defibrillator leads: A multicenter experience. Heart Rhythm. 17(11). 1909–1916. 3 indexed citations
5.
Damp, Julie B., Michael W. Cullen, Marty Tam, et al.. (2020). Program Directors Survey on Diversity in Cardiovascular Training Programs. Journal of the American College of Cardiology. 76(10). 1215–1222. 14 indexed citations
7.
Bhakta, Deepak, et al.. (2010). Increased mortality with left ventricular systolic dysfunction and heart failure in adults with myotonic dystrophy type 1. American Heart Journal. 160(6). 1137–1141.e1. 54 indexed citations
8.
Bhakta, Deepak, et al.. (2010). REVIEW: Nonpharmacological Therapies for Atrial Fibrillation. Cardiovascular Therapeutics. 28(5). 264–277. 1 indexed citations
9.
Michael, Mark A., et al.. (2010). Segmental wall-motion abnormalities of the left ventricle predict arrhythmic events in patients with nonischemic cardiomyopathy. Heart Rhythm. 7(10). 1390–1395. 11 indexed citations
10.
Das, Mithilesh K., Waddah Maskoun, Changyu Shen, et al.. (2009). Fragmented QRS on twelve-lead electrocardiogram predicts arrhythmic events in patients with ischemic and nonischemic cardiomyopathy. Heart Rhythm. 7(1). 74–80. 221 indexed citations
11.
Groh, William J., Chandan Saha, John C. Kincaid, et al.. (2008). Electrocardiographic Abnormalities and Sudden Death in Myotonic Dystrophy Type 1. New England Journal of Medicine. 358(25). 2688–2697. 318 indexed citations
12.
Mahenthiran, Jo, Mithilesh K. Das, Deepak Bhakta, et al.. (2006). Prognostic Importance of Wall Motion Abnormalities in Patients With Ischemic Cardiomyopathy and an Implantable Cardioverter-Defibrillator. The American Journal of Cardiology. 98(10). 1301–1306. 17 indexed citations
13.
Groh, William J., et al.. (2005). Familial clustering of muscular and cardiac involvement in myotonic dystrophy type 1. Muscle & Nerve. 31(6). 719–724. 12 indexed citations
14.
Issa, Ziad F., Xiaohong Zhou, Michael R. Ujhelyi, et al.. (2005). Thoracic Spinal Cord Stimulation Reduces the Risk of Ischemic Ventricular Arrhythmias in a Postinfarction Heart Failure Canine Model. Circulation. 111(24). 3217–3220. 103 indexed citations
15.
Bhakta, Deepak, et al.. (2004). Multivessel coronary thrombosis secondary to cocaine use successfully treated with multivessel primary angioplasty. PubMed. 6(1). 39–42. 19 indexed citations
16.
Bhakta, Deepak, et al.. (2004). Prevalence of structural cardiac abnormalities in patients with myotonic dystrophy type I. American Heart Journal. 147(2). 224–227. 77 indexed citations
17.
Bhakta, Deepak & William J. Groh. (2004). Cardiac function tests in neuromuscular diseases. Neurologic Clinics. 22(3). 591–617. 6 indexed citations
18.
Bhakta, Deepak, et al.. (2003). Heart Rate Variability Declines with Increasing Age and CTG Repeat Length in Patients with Myotonic Dystrophy Type 1. Annals of Noninvasive Electrocardiology. 8(3). 227–232. 30 indexed citations
19.
Isselbacher, Eric M., Peter Hagan, A. Evangelista, et al.. (1998). Practice variations in utilization of diagnostic techniques to evaluate acute aortic dissection — results from the international registry of aortic dissection (IRAD). Journal of the American College of Cardiology. 31. 45–45. 1 indexed citations
20.
Hagan, Peter, C.A. Nienaber, Artur Evangelista, et al.. (1998). Acute aortic dissection: presentation, management and outcomes in 1996 — results from the International Registry for Aortic Dissection (IRAD). Journal of the American College of Cardiology. 31. 217–217. 2 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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