Praloy Chakraborty

562 total citations
63 papers, 352 citations indexed

About

Praloy Chakraborty is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Molecular Biology. According to data from OpenAlex, Praloy Chakraborty has authored 63 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Cardiology and Cardiovascular Medicine, 12 papers in Surgery and 12 papers in Molecular Biology. Recurrent topics in Praloy Chakraborty's work include Cardiac electrophysiology and arrhythmias (22 papers), Cardiac Arrhythmias and Treatments (16 papers) and Cardiac pacing and defibrillation studies (11 papers). Praloy Chakraborty is often cited by papers focused on Cardiac electrophysiology and arrhythmias (22 papers), Cardiac Arrhythmias and Treatments (16 papers) and Cardiac pacing and defibrillation studies (11 papers). Praloy Chakraborty collaborates with scholars based in Canada, India and United States. Praloy Chakraborty's co-authors include Kumaraswamy Nanthakumar, Sunny S. Po, Mohammed Ali Azam, Patrick F.H. Lai, Stéphane Massé, Daoyuan Si, Beibei Du, Andrew C.T. Ha, Stanley Nattel and Ram Kumar Gupta and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and Biochemical and Biophysical Research Communications.

In The Last Decade

Praloy Chakraborty

53 papers receiving 340 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Praloy Chakraborty Canada 11 189 69 60 58 56 63 352
Guoqiang Gu China 10 130 0.7× 95 1.4× 64 1.1× 43 0.7× 18 0.3× 35 403
Hiroshi Yamanari Japan 11 288 1.5× 81 1.2× 33 0.6× 86 1.5× 32 0.6× 29 377
Kelly M. McLean United States 11 106 0.6× 52 0.8× 36 0.6× 179 3.1× 16 0.3× 16 362
Susumu Nishikawa Japan 8 172 0.9× 93 1.3× 18 0.3× 116 2.0× 53 0.9× 19 352
S. Ring United States 4 144 0.8× 48 0.7× 15 0.3× 149 2.6× 26 0.5× 7 414
Anne M. Lovejoy United States 8 90 0.5× 171 2.5× 127 2.1× 65 1.1× 235 4.2× 9 410
Wen Su China 10 93 0.5× 70 1.0× 38 0.6× 80 1.4× 69 1.2× 22 317
Baolan Ji China 11 59 0.3× 64 0.9× 74 1.2× 36 0.6× 84 1.5× 27 310
M. Shaaban Ali Egypt 11 122 0.6× 81 1.2× 32 0.5× 171 2.9× 21 0.4× 26 380
Ki-Won Oh South Korea 11 75 0.4× 56 0.8× 101 1.7× 61 1.1× 103 1.8× 17 306

Countries citing papers authored by Praloy Chakraborty

Since Specialization
Citations

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

Fields of papers citing papers by Praloy Chakraborty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Praloy Chakraborty

This figure shows the co-authorship network connecting the top 25 collaborators of Praloy Chakraborty. A scholar is included among the top collaborators of Praloy Chakraborty 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 Praloy Chakraborty. Praloy Chakraborty 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.
2.
Chakraborty, Praloy, et al.. (2024). Effect of Low-Level Tragus Stimulation on Cardiac Metabolism in Heart Failure with Preserved Ejection Fraction: A Transcriptomics-Based Analysis. International Journal of Molecular Sciences. 25(8). 4312–4312.
3.
Bugga, Paramesha, et al.. (2024). Knockdown of SCN5A alters metabolic-associated genes and aggravates hypertrophy in the cardiomyoblast. Molecular Biology Reports. 51(1). 661–661.
4.
Dasari, Tarun W., et al.. (2024). Heart rate variability metrics and myocardial recovery in heart failure with reduced ejection fraction. Clinical Autonomic Research. 35(1). 115–124. 2 indexed citations
5.
Chakraborty, Praloy, Stéphane Massé, Paaladinesh Thavendiranathan, et al.. (2024). Arrhythmogenic Ventricular Remodeling by Next-Generation Bruton’s Tyrosine Kinase Inhibitor Acalabrutinib. International Journal of Molecular Sciences. 25(11). 6207–6207. 2 indexed citations
6.
Stavrakis, Stavros, Praloy Chakraborty, Lynsie Morris, et al.. (2023). Noninvasive Vagus Nerve Stimulation in Postural Tachycardia Syndrome. JACC. Clinical electrophysiology. 10(2). 346–355. 27 indexed citations
7.
Chakraborty, Praloy, Sunny S. Po, Andriy Yabluchanskiy, & Tarun W. Dasari. (2023). Protein kinase A: A potential marker of sympathovagal imbalance in heart failure. Life Sciences. 331. 122069–122069. 2 indexed citations
8.
Chakraborty, Praloy, Peng‐Sheng Chen, Michael H. Gollob, Brian Olshansky, & Sunny S. Po. (2023). Potential consequences of cardioneuroablation for vasovagal syncope: A call for appropriately designed, sham-controlled clinical trials. Heart Rhythm. 21(4). 464–470. 10 indexed citations
9.
Suszko, Adrian, Praloy Chakraborty, Karthik Viswanathan, et al.. (2022). Automated Quantification of Abnormal QRS Peaks From High‐Resolution ECGs Predicts Late Ventricular Arrhythmias in Hypertrophic Cardiomyopathy: A 5‐Year Prospective Multicenter Study. Journal of the American Heart Association. 11(23). e026025–e026025. 4 indexed citations
10.
Holmuhamedov, Ekhson, Praloy Chakraborty, Xiaoke Liu, et al.. (2022). Aging-associated susceptibility to stress-induced ventricular arrhythmogenesis is attenuated by tetrodotoxin. Biochemical and Biophysical Research Communications. 623. 44–50. 2 indexed citations
11.
Jahangir, Arshad, et al.. (2022). An Unusual Genetic Observation in a Case of Short-Coupled PVC-Triggered Ventricular Fibrillation. JACC Case Reports. 4(23). 101651–101651. 2 indexed citations
12.
Chakraborty, Praloy, et al.. (2021). Use and Assessment of Knowledge of Vitamin K Antagonist Therapy in Cardiac Patients. SHILAP Revista de lepidopterología. 7(2). 158–167.
13.
Kawada, Satoshi, Praloy Chakraborty, Abhishek Bhaskaran, et al.. (2020). Safety and Long-term Outcomes of Defibrillator Therapy in Patients With Right-Sided Implantable Cardiac Devices in Adults With Congenital Heart Disease. Canadian Journal of Cardiology. 37(3). 407–416. 2 indexed citations
14.
15.
Bansal, Sandeep, et al.. (2018). ASSESSMENT OF RIGHT VENTRICULAR FUNCTION IN PATIENTS WITH ACUTE MYOCARDIAL INFARCTION. Journal of the American College of Cardiology. 71(11). A42–A42. 1 indexed citations
16.
Bansal, Sandeep, et al.. (2014). Comparative study of Ivabradine versus atenolol in symptomatic mitral stenosis patients. Indian Heart Journal. 66. S133–S133. 2 indexed citations
17.
Chakraborty, Praloy, et al.. (2014). Effects of ivabradine on left ventricular function in patients with ischemic heart failure. Indian Heart Journal. 66. S83–S84. 2 indexed citations
18.
Chakraborty, Praloy, et al.. (2010). Polymorphic ventricular tachycardia due to acute coronary ischemia: a case report.. PubMed Central. 4 indexed citations
19.
Saxena, Anitá, et al.. (2009). An Unusual Case of Dissecting Aneurysms Involving Both Coronary Sinuses of Valsalva. Journal of the American Society of Echocardiography. 23(4). 458.e7–458.e9. 1 indexed citations
20.
Das, Pradip Kumar, Kaninika Basu, Praloy Chakraborty, & Pradip K. Bhowmik. (1999). Clinical and bacteriological profile of neonatal infections in metropolitan city based medical college nursery.. PubMed. 97(1). 3–5. 11 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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